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Barrientos, John David. "The intermediate situation. On affection and time in Michel Henry." Investigaciones Fenomenológicas, no. 4-I (January 15, 2014): 23. http://dx.doi.org/10.5944/rif.4-i.2013.29736.
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When we go back-by means of the epoché of the world, following Michel Henry-towards the originary “how” of all manifestation (videor), we stumble once and again upon the phenomenological situation of the body. The body is, then that originary hinge by means of which I manifest world in a continuous resistance. It will be, as well, within my own body where I am always aware of oneself, according to my own affection (self-affection, not previously constituted). Thus, the material condition of the body will be that of my internal body, or subjective body-as Henry initially read in Maine de Biran-or that of my flesh, as Henry himself would later say. Bearing all this in mind, the intermediate situation of one’s own affection, of this body of mine, with regard to the world and the videor, turns out to be an appropriate medium to attempt a preliminary study of the problematic situation of the internal time of affection. For this purpose, we shall revise the analysis offered by Michel Henry in Material Phenomenology and in Incarnation, indicating possible aporias, as well as alternatives to these last ones.Cuando, siguiendo a Michel Henry, retrocedemos en una epoché hacia el “cómo” originario de toda manifestación (videor), tropezamos una y otra vez con la situación fenomenológica del cuerpo. El cuerpo es, pues, esta bisagra originaria a través de la cual yo manifiesto el mundo en continua resistencia. También será dentro del propio cuerpo donde uno será siempre autoconsciente, de acuerdo con la propia afección (autoafección, no constituida previamente). Por eso, la condición material del cuerpo será la de mi cuerpo interior o cuerpo subjetivo, de acuerdo con la lectura inicial que Henry hace de Maine de Biran; o de mi carne, como dirá el mismo Henry más tarde. Teniendo en cuenta todo ello, la situación intermedia, situación de la afección propia y la de mi cuerpo en relación con el mundo y el videor, resulta ser un medio apropiado para emprender un estudio preliminar de la problemática situación del tiempo interno de la afección. Para ello, revisaremos el análisis que Michel Henry ofrece en Material Phenomenology y en Incarnation, indicando las posibles aporías, así como posibles alternativas.
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Nosov, Konstantin, Yuriy Bespalov, Olena Vysotska, Anna Strashnenko, and Anna Pecherska. "Determination of the systemic colorimetric parameters of unmasking rats at videor registration in urban conditions." Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies 2, no. 26(1302) (September 16, 2018): 22–30. http://dx.doi.org/10.20998/2413-4295.2018.26.28.
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Koskimaa, Raine. "Game of Thrones -pelin Let's Play -videot ja populaarikulttuurin vastaanotto esityksenä." Lähikuva – audiovisuaalisen kulttuurin tieteellinen julkaisu 32, no. 3 (December 6, 2019): 7–25. http://dx.doi.org/10.23994/lk.87955.
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Suositun Valtaistuinpeli (Game of Thrones) -tv-sarjan myötä George R. R. Martinin Tulen ja jään laulu -kirjasarjaan perustuvasta transmediauniversumista on tullut ilmiö, jolla on faneja huomattavasti laajemmin kuin vain fantasiaharrastajien piirissä. Tässä artikkelissa pyrin selvittämään tapoja, joilla ihmiset kokevat Valtaistuinpelin maailman, hahmot ja tapahtumat, ja sitä, miten he niitä tulkitsevat ja suhteuttavat omaan elämänkokemukseensa. Hypoteesina on, että Let’s Play -videot tarjoavat hedelmällisen aineiston pelien ja yleisemmin populaarikulttuurin synnyttämien kokemusten tarkasteluun.Tutkimusmenetelmänäni on Game of Thrones -videopelistä tehtyjen Let’s Play -videoiden analysointi erityisesti pelaaja-kertojan esiintymiseen keskittyen. Tutkimuksen aineisto on koottu satunnaisotantana kahdelta eri videonjakoalustalta (Twitch, Youtube). Ääniraidalla pelaaja-kertojat ensisijaisesti sanallistavat ruudulla näkyviä tapahtumia ja käyttävät runsaasti aikaa myös pelin edellyttämien moraalisten valintojen pohtimiseen ja selittämiseen. Videoissa on myös tärkeässä roolissa pelaaja-kertojien tunnereaktioiden esittäminen, mikä korostaa Let’s Play -videoiden performatiivista luonnetta.
Let’s Play -videot tarjoavat tavan sekä esittää että kasvattaa fanikulttuurista pääomaa. Let’s Play -videoiden kautta pelaaja-kertojat osallistuvat fandomin aineettomaan vaihdantaan, tuoden oman panoksensa Valtaistuinpelin universumiin. Game of Thrones -pelin Let’s Play -videoissa pohdinta keskittyy moraalisiin valintoihin. Videot avaavat näkymän pelaaja-kertojien yksityiseen vastaanottoprosessiin ja sen aikana tapahtuvaan joustavaan erilaisten moraalikoodistojen limittymiseen. Let’s Play -videot näyttävät tarjoavan faniuden esittämiselle uudenlaisen alustan, jossa intiimi vastaanoton hetki voidaan tuottaa yhteisölliseksi kokemukseksi.
Game of Thrones Let’s Play Videos and the Reception of Popular Culture as Performance
The highly popular TV series Game of Thrones has made the transmedia universe originally based on George R. R. Martin’s novel cycle The Song of Ice and Fire into a phenomenon, which has gained fans from much wider audience than fantasy fandom. In this article, I look at the ways how people experience the world, characters, and events of the Game of Thrones, and how they interpret these and relate them to their own lives. I take it as my hypothesis that Let’s Play videos provide fruitful material for scrutinizing the experiences evoked by video games, and more generally, by popular culture productions. My research method consists of analyzing Let’s Play videos based on the Game of Thrones videogame (Telltale 2014–15), focusing especially on the performance of the player-narrators.
The data set of this research was sampled from two online video publication platforms (Twitch, Youtube). On the audio track the player-narrators mainly verbalize things happening on the screen while playing Game of Thrones, and they also extensively dwell in the reflections and explanations regarding moral choices prompted by the game. Showing off emotional responses of the player-narrators plays an important role, too, which emphasizes the performative aspect of Let’s Play videos.
Let’s Play videos provide a way to show and increase one’s fancultural capital. Through publishing Let’s Play videos the player-narrators participate in the immaterial exchange economy of fandom, by contributing their share into the Game of Thrones universe. In the Game of Thrones Let’s Play videos the reflection focuses on moral choices. These videos open up views to private reception processes of the player-narrators, and to the flexible shifts and overlaps between various moral codes during these processes. Let’s Play videos seem to offer a new kind of platform to perform one’s fan activities, in which the intimate moment of reception may be opened up to a communal experience.
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Momcilovic, Drago. "Music Video Gothic: Fragmentary Form at the Dawn of MTV." Gothic Studies 23, no. 2 (July 2021): 148–62. http://dx.doi.org/10.3366/gothic.2021.0091.
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This article argues that the modern music video at the dawn of the MTV era embraces a logic of the Gothic fragment. Mobilizing an archive of gothic archetypes of haunting and monstrosity, the music video of the early 1980s confronts anxieties about its unshaped aesthetic character and discursive placelessness and its strained connections to absent textual wholes, performance cultures, and marginalized histories. Through a close reading of four seminal music videos from this time period – The Buggles' Video Killed the Radio Star (1979), David Bowie's Ashes to Ashes (1980), Blondie's Rapture (1981), and Michael Jackson's Thriller (1983) – I argue that the early music video incarnates a tradition of production, circulation, and decoding that I want to call Music Video Gothic. This tradition expresses latent concerns about the music video's aesthetic borders and intertextual relations with cultural and career narratives.
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Sanders, D. C., L. M. Reyes, D. J. Osborne, D. R. Ward, and D. E. Blackwelder. "USING A BILINGUAL GAPS AND HAND-WASHING DVD TO TRAIN FRESH PRODUCE FIELD AND PACKINGHOUSE WORKERS." HortScience 41, no. 3 (June 2006): 498D—498. http://dx.doi.org/10.21273/hortsci.41.3.498d.
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The Southeastern Fresh Produce Food Safety Training Program has been training extension agents across the southeastern U.S. since 2000. This program has utilized a variety of methods including group case study to enhance learning and promote team work. Multistate trainings have fostered collaboration between states and institutions. One goal of the program was to produce a method for agents to provide training that was repeatable and easy to implement. As a result, two videos were produced for use in training field and packinghouse workers. These videos were an English language good agricultural practices (GAPs) video entitled Bridging the GAPs: From the Farm to the Table and a Spanish language hand-washing video entitled ¡Lave sus Manos: Por Los Niños! This program has been very effective, but has faced challenges due to language barriers. Many field and packinghouse crews were mixed in terms of language with some crew members speaking only English while others spoke only Spanish. As a result, Spanish speakers were unable to access the information in the good agricultural practices video while English speakers were unable to access information in the hand-washing video. The solution was to produce a bilingual training aid that included both sets of information and has been compiled into a DVD containing the footage of both of the original videos in both languages. For the Spanish version of the GAPs video and the English of the hand-washing video, the audio of the video's original language was left at a low sound level and the audio of the alternate language was added. These DVDs are currently being distributed to extension programs in all of the cooperating states with the aim of reaching growers who want to start a food safety plan.
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Haymes, A. T., and V. Harries. "‘How to stop a nosebleed’: an assessment of the quality of epistaxis treatment advice on YouTube." Journal of Laryngology & Otology 130, no. 8 (June 27, 2016): 749–54. http://dx.doi.org/10.1017/s0022215116008410.
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AbstractObjective:Video hosting websites are increasingly being used to disseminate health education messages. This study aimed to assess the quality of advice contained within YouTube videos on the conservative management of epistaxis.Method:YouTube.com was searched using the phrase ‘how to stop a nosebleed’. The first 50 videos were screened. Objective advice scores and subjective production quality scores were attributed by independent raters.Results:Forty-five videos were analysed. The mean advice score was 2.0 out of 8 and the mean production quality score was 1.6 out of 3. There were no correlations between a video's advice score and its search results rank (ρ = −0.28, p = 0.068), its view count (ρ = 0.20, p = 0.19) or its number of ‘likes’ (ρ = 0.21, p = 0.18).Conclusion:The quality of information on conservative epistaxis management within YouTube videos is extremely variable. A high search rank is no indication of video quality. Many videos proffer inappropriate and dangerous ‘alternative’ advice. We do not recommend YouTube as a source for patient information.
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Alpert, Frank, and Chris S. Hodkinson. "Video use in lecture classes: current practices, student perceptions and preferences." Education + Training 61, no. 1 (January 14, 2019): 31–45. http://dx.doi.org/10.1108/et-12-2017-0185.
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Purpose Despite the expansion of e-learning, higher education still involves live lectures, which students often see as “boring”. Lecture classes can be made more engaging and effective by including videos. However, empirical research is yet to report on current video use in lectures, or on student perceptions of and preferences for videos. The purpose of this paper is to fill that knowledge gap. Design/methodology/approach A two-stage mixed-method study used focus groups to gain a rich understanding of student’s video experiences, preferences and the types of videos they are shown. These understandings were utilised in a detailed on-line survey questionnaire, which was completed by a diverse sample of 773 university students, who responded about their recent in-class video experiences. Findings Students report that about 87 per cent of lecture classes included one or more videos. This paper reports on instructor practices, develops a video typology and reports on students’ preferred frequency, type of video, video source, video length and existing vs preferred video integration methods. Practical implications The results provide useful information for educational administrators. Recommendations are made for effective use of videos in lectures by instructors. Originality/value This is the first qualitative and survey research investigating current practice and student perceptions of video use during lecture classes. The authors also conduct the first survey with a broad sample across universities and academic disciplines using the unit of analysis of videos seen per course last week. Typologies of sources of videos, instructional functions, video facilitation techniques and types of videos used during lectures are proposed and then measured.
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Laghari, Asif Ali, Hui He, Shahid Karim, Himat Ali Shah, and Nabin Kumar Karn. "Quality of Experience Assessment of Video Quality in Social Clouds." Wireless Communications and Mobile Computing 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/8313942.
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Video sharing on social clouds is popular among the users around the world. High-Definition (HD) videos have big file size so the storing in cloud storage and streaming of videos with high quality from cloud to the client are a big problem for service providers. Social clouds compress the videos to save storage and stream over slow networks to provide quality of service (QoS). Compression of video decreases the quality compared to original video and parameters are changed during the online play as well as after download. Degradation of video quality due to compression decreases the quality of experience (QoE) level of end users. To assess the QoE of video compression, we conducted subjective (QoE) experiments by uploading, sharing, and playing videos from social clouds. Three popular social clouds, Facebook, Tumblr, and Twitter, were selected to upload and play videos online for users. The QoE was recorded by using questionnaire given to users to provide their experience about the video quality they perceive. Results show that Facebook and Twitter compressed HD videos more as compared to other clouds. However, Facebook gives a better quality of compressed videos compared to Twitter. Therefore, users assigned low ratings for Twitter for online video quality compared to Tumblr that provided high-quality online play of videos with less compression.
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Li, Hao, Zhaoquan Gu, Lianbing Deng, Yi Han, Cheng Yang, and Zhihong Tian. "A Fine-Grained Video Encryption Service Based on the Cloud-Fog-Local Architecture for Public and Private Videos." Sensors 19, no. 24 (December 5, 2019): 5366. http://dx.doi.org/10.3390/s19245366.
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With the advancement of cloud computing and fog computing, more and more services and data are being moved from local servers to the fog and cloud for processing and storage. Videos are an important part of this movement. However, security issues involved in video moving have drawn wide attention. Although many video-encryption algorithms have been developed to protect local videos, these algorithms fail to solve the new problems faced on the media cloud, such as how to provide a video encryption service to devices with low computing power, how to meet the different encryption requirements for different type of videos, and how to ensure massive video encryption efficiency. To solve these three problems, we propose a cloud-fog-local video encryption framework which consists of a three-layer service model and corresponding key management strategies, a fine-grain video encryption algorithm based on the network abstract layer unit (NALU), and a massive video encryption framework based on Spark. The experiment proves that our proposed solution can meet the different encryption requirements for public videos and private videos. Moreover, in the experiment environment, our encryption algorithm for public videos reaches a speed of 1708 Mbps, and can provide a real-time encryption service for at least 42 channels of 4K-resolution videos.
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Retnani, Ajeng Dwi, Titin Sutini, and Suhendar Sulaeman. "Video Kartun dan Video Animasi dapat Menurunkan Tingkat Kecemasan Pre Operasi pada Anak Usia Pra Sekolah." Jurnal Keperawatan Silampari 3, no. 1 (November 8, 2019): 332–41. http://dx.doi.org/10.31539/jks.v3i1.837.
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The purpose of this study was to analyze the effect of cartoon videos and animated videos on reducing preoperative anxiety levels in pre-school age children. This research method uses quasi-experimental with a pre and post-test approach with out control. The results showed that the reduction in preoperative anxiety levels in pre-school children after being given a cartoon video intervention by 4.20, after being given an animated video intervention by 4.70 and after being given a combination intervention between cartoon videos + animated videos by 7.20. Based on this, the level of preoperative anxiety using a cartoon video + animated video combination intervention showed the greatest decrease. The results of the study also obtained p value> 0,000. Conclusions, the influence of cartoon videos and animated videos on the reduction of preoperative anxiety levels in pre-school age children.
Keywords: Animation, Anxiety, Pre Operation, Cartoon Video
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Cui, Limeng, and Lijuan Chu. "YouTube Videos Related to the Fukushima Nuclear Disaster: Content Analysis." JMIR Public Health and Surveillance 7, no. 6 (June 7, 2021): e26481. http://dx.doi.org/10.2196/26481.
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Background YouTube (Alphabet Incorporated) has become the most popular video-sharing platform in the world. The Fukushima Daiichi Nuclear Power Plant (FDNPP) disaster resulted in public anxiety toward nuclear power and radiation worldwide. YouTube is an important source of information about the FDNPP disaster for the world. Objective This study's objectives were to examine the characteristics of YouTube videos related to the FDNPP disaster, analyze the content and comments of videos with a quantitative method, and determine which features contribute to making a video popular with audiences. This study is the first to examine FDNPP disaster–related videos on YouTube. Methods We searched for the term “Fukushima nuclear disaster” on YouTube on November 2, 2019. The first 60 eligible videos in the relevance, upload date, view count, and rating categories were recorded. Videos that were irrelevant, were non-English, had inappropriate words, were machine synthesized, and were <3 minutes long were excluded. In total, 111 videos met the inclusion criteria. Parameters of the videos, including the number of subscribers, length, the number of days since the video was uploaded, region, video popularity (views, views/day, likes, likes/day, dislikes, dislikes/day, comments, comments/day), the tone of the videos, the top ten comments, affiliation, whether Japanese people participated in the video, whether the video recorder visited Fukushima, whether the video contained theoretical knowledge, and whether the video contained information about the recent situation in Fukushima, were recorded. By using criteria for content and technical design, two evaluators scored videos and grouped them into the useful (score: 11-14), slightly useful (score: 6-10), and useless (score: 0-5) video categories. Results Of the 111 videos, 43 (38.7%) videos were useful, 43 (38.7%) were slightly useful, and 25 (22.5%) were useless. Useful videos had good visual and aural effects, provided vivid information on the Fukushima disaster, and had a mean score of 12 (SD 0.9). Useful videos had more views per day (P<.001), likes per day (P<.001), and comments per day (P=.02) than useless and slightly useful videos. The popularity of videos had a significant correlation with clear sounds (likes/day: P=.001; comments/day: P=.02), vivid information (likes/day: P<.001; comments/day: P=.007), understanding content (likes/day: P=.001; comments/day: P=.04). There was no significant difference in likes per day (P=.72) and comments per day (P=.11) between negative and neutral- and mixed-tone videos. Videos about the recent situation in Fukushima had more likes and comments per day. Video recorders who personally visited Fukushima Prefecture had more subscribers and received more views and likes. Conclusions The possible features that made videos popular to the public included video quality, videos made in Fukushima, and information on the recent situation in Fukushima. During risk communication on new forms of media, health institutes should increase publicity and be more approachable to resonate with international audiences.
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Luo, Lei, Rong Xin Jiang, Xiang Tian, and Yao Wu Chen. "Reference Viewpoints Selection for Multi-View Video Plus Depth Coding Based on the Network Bandwidth Constraint." Applied Mechanics and Materials 303-306 (February 2013): 2134–38. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.2134.
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In multi-view video plus depth (MVD) coding based free viewpoint video applications, a few reference viewpoints’ texture and depth videos should be compressed and transmitted at the server side. At the terminal side, the display view videos could be the decoded reference view videos or the virtual viewpoints’ videos which are synthesized by DIBR technology. The entire video quality of all display views are decided by the number of reference viewpoints and the compression distortion of each reference viewpoint’s texture and depth videos. This paper studies the impact of the reference viewpoints selection on the entire video quality of all display views. The results show that depending on the available network bandwidth, the MVD coding requires different selections of reference viewpoints to maximize the entire video quality of all display views.
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Park, Jounsup. "Multi-Session Multicasting for 360-Degree Video Multicast over OFDMA Systems." International Journal of Digital Multimedia Broadcasting 2021 (June 16, 2021): 1–19. http://dx.doi.org/10.1155/2021/5560312.
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360-degree video content provides a rich and immersive multimedia experience to viewers by allowing viewers to the video from any angle. However, 360-degree videos require much higher bandwidth to be delivered over mobile networks compared to conventional videos. Multicasting of the videos is one of the solutions to efficiently utilize the limited bandwidth since many viewers share the wireless spectrum resource for popular videos, such as sports events or musical concerts. LTE eMBMS assigns the videos to the video sessions, and multiple viewers can subscribe to the same video allocated to the video sessions. Moreover, the tiling of the 360-degree video makes it possible to control the regional quality of the video. The tiles that are likely to be seen by many viewers should have higher quality than other tiles to satisfy more viewers. In this paper, we proposed the Multi-Session Multicast (MSM) system to optimally allocate the wireless resources to tiles with different qualities to maximize the expected user experience. The experimental results show that the proposed MSM system provides higher quality videos to viewers using limited wireless resources.
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Ji, Wanting, and Ruili Wang. "A Multi-instance Multi-label Dual Learning Approach for Video Captioning." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 2s (June 10, 2021): 1–18. http://dx.doi.org/10.1145/3446792.
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Video captioning is a challenging task in the field of multimedia processing, which aims to generate informative natural language descriptions/captions to describe video contents. Previous video captioning approaches mainly focused on capturing visual information in videos using an encoder-decoder structure to generate video captions. Recently, a new encoder-decoder-reconstructor structure was proposed for video captioning, which captured the information in both videos and captions. Based on this, this article proposes a novel multi-instance multi-label dual learning approach (MIMLDL) to generate video captions based on the encoder-decoder-reconstructor structure. Specifically, MIMLDL contains two modules: caption generation and video reconstruction modules. The caption generation module utilizes a lexical fully convolutional neural network (Lexical FCN) with a weakly supervised multi-instance multi-label learning mechanism to learn a translatable mapping between video regions and lexical labels to generate video captions. Then the video reconstruction module synthesizes visual sequences to reproduce raw videos using the outputs of the caption generation module. A dual learning mechanism fine-tunes the two modules according to the gap between the raw and the reproduced videos. Thus, our approach can minimize the semantic gap between raw videos and the generated captions by minimizing the differences between the reproduced and the raw visual sequences. Experimental results on a benchmark dataset demonstrate that MIMLDL can improve the accuracy of video captioning.
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MacIntyre, Blair, Marco Lohse, Jay David Bolter, and Emmanuel Moreno. "Integrating 2-D Video Actors into 3-D Augmented-Reality Systems." Presence: Teleoperators and Virtual Environments 11, no. 2 (April 2002): 189–202. http://dx.doi.org/10.1162/1054746021470621.
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In this paper, we discuss the integration of 2-D video actors into 3-D augmentedreality (AR) systems. In the context of our research on narrative forms for AR, we have found ourselves needing highly expressive content that is most easily created by human actors. We discuss the feasibility and utility of using video actors in an AR situation and then present our Video Actor Framework (including the VideoActor editor and the Video3D Java package) for easily integrating 2-D videos of actors into Java 3D, an object-oriented 3-D graphics programming environment. The framework is based on the idea of supporting tight spatial and temporal synchronization between the content of the video and the rest of the 3-D world. We present a number of illustrative examples that demonstrate the utility of the toolkit and editor. We close with a discussion and example of our recent work implementing these ideas in Macromedia Director, a popular multimedia production tool.
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Alsrehin, Nawaf O., and Ahmad F. Klaib. "VMQ: an algorithm for measuring the Video Motion Quality." Bulletin of Electrical Engineering and Informatics 8, no. 1 (March 1, 2019): 231–38. http://dx.doi.org/10.11591/eei.v8i1.1418.
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This paper proposes a new full-reference algorithm, called Video Motion Quality (VMQ) that evaluates the relative motion quality of the distorted video generated from the reference video based on all the frames from both videos. VMQ uses any frame-based metric to compare frames from the original and distorted videos. It uses the time stamp for each frame to measure the intersection values. VMQ combines the comparison values with the intersection values in an aggregation function to produce the final result. To explore the efficiency of the VMQ, we used a set of raw, uncompressed videos to generate a new set of encoded videos. These encoded videos are then used to generate a new set of distorted videos which have the same video bit rate and frame size but with reduced frame rate. To evaluate the VMQ, we applied the VMQ by comparing the encoded videos with the distorted videos and recorded the results. The initial evaluation results showed compatible trends with most of subjective evaluation results.
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Tafesse, Wondwesen. "YouTube marketing: how marketers' video optimization practices influence video views." Internet Research 30, no. 6 (July 3, 2020): 1689–707. http://dx.doi.org/10.1108/intr-10-2019-0406.
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PurposeYouTube's vast and engaged user base makes it central to firms' digital marketing effort. With extant studies focusing on viewers' post-view engagement behavior, however, research into what motivates viewers to click on and watch YouTube videos is scarce. This study investigates the implications of marketers' video optimization practices for video views on YouTube.Design/methodology/approachThe study employed a data set of videos (N = 4,398) gathered by scraping YouTube's trending list. Using a combination of text and sentiment analysis, the study measured four video optimization practices: information content of video titles, emotional intensity of video titles, information content of video descriptions and volume of video tags. It then analyzed the effect of these video optimization practices on video views.FindingsThe study finds that greater availability of information in video titles is negatively associated with video views, whereas intensity of negative emotional sentiment in video titles is positively associated with video views. Further, greater availability of information in video descriptions is positively associated with video views. Finally, an inverted U-shaped relationship is found between volume of video tags and video views. Up to 17 video tags can contribute to more video views; however, beyond 17 tags, the relationship turns negative.Originality/valueThis study investigates the effect of marketers' video optimization practices on video views. While extant studies mainly focus on viewers' post-view engagement behavior, such as liking, commenting on and sharing videos, this study examines video views. Similarly, extant studies investigate videos' internal content, while this study investigates elements of the video metadata.
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Yang, Zeyang, Mark D. Griffiths, Zhihao Yan, and Wenting Xu. "Can Watching Online Videos Be Addictive? A Qualitative Exploration of Online Video Watching among Chinese Young Adults." International Journal of Environmental Research and Public Health 18, no. 14 (July 6, 2021): 7247. http://dx.doi.org/10.3390/ijerph18147247.
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Watching online videos (including short-form videos) has become the most popular leisure activity in China. However, a few studies have reported the potential negative effects of online video watching behaviors (including the potential for ‘addiction’) among a minority of individuals. The present study investigated online video watching behaviors, motivational factors for watching online videos, and potentially addictive indicators of watching online videos. Semi-structured interviews were conducted among 20 young Chinese adults. Qualitative data were analyzed using thematic analysis. Eight themes were identified comprising: (i) content is key; (ii) types of online video watching; (iii) platform function hooks; (iv) personal interests; (v) watching becoming habitual; (vi) social interaction needs; (vii) reassurance needs; and (viii) addiction-like symptoms. Specific video content (e.g., mukbang, pornography), platform-driven continuous watching, and short-form videos were perceived by some participants as being potentially addictive. Specific features or content on Chinese online video platforms (e.g., ‘Danmu’ scrolling comments) need further investigation. Future studies should explore users’ addictive-like behaviors in relation to specific types of online video content and their social interaction on these platforms.
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Hazra, Debapriya, and Yung-Cheol Byun. "Upsampling Real-Time, Low-Resolution CCTV Videos Using Generative Adversarial Networks." Electronics 9, no. 8 (August 14, 2020): 1312. http://dx.doi.org/10.3390/electronics9081312.
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Video super-resolution has become an emerging topic in the field of machine learning. The generative adversarial network is a framework that is widely used to develop solutions for low-resolution videos. Video surveillance using closed-circuit television (CCTV) is significant in every field, all over the world. A common problem with CCTV videos is sudden video loss or poor quality. In this paper, we propose a generative adversarial network that implements spatio-temporal generators and discriminators to enhance real-time low-resolution CCTV videos to high-resolution. The proposed model considers both foreground and background motion of a CCTV video and effectively models the spatial and temporal consistency from low-resolution video frames to generate high-resolution videos. Quantitative and qualitative experiments on benchmark datasets, including Kinetics-700, UCF101, HMDB51 and IITH_Helmet2, showed that our model outperforms the existing GAN models for video super-resolution.
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Špilka, Radim. "Learner-Content Interaction in Flipped Classroom Model." International Journal of Information and Communication Technologies in Education 4, no. 3 (October 1, 2015): 53–61. http://dx.doi.org/10.1515/ijicte-2015-0014.
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Abstract The article deals with the interaction of elementary school students with online educational videos. Half-yearly survey was conducted in mathematics lessons pupils in the eighth grade. During the experimental teaching was flipped classroom teaching model, where students watch educational instructional video before school lessons. During class when the teacher uses activization teaching methods that build on the content of the educational video. It turned out that there is a correlation between the average length of time that students watched videos and length instructional videos. Students watched a video about three times the length of their time. Additionally was monitored a number of playback of educational videos. Here it shows a slightly declining and fluctuating trend. For some video, especially towards the end of the experiment, the number playback are low due to preservation the measured correlation. This suggests that some students stopped to watch educational videos at the end of the experiment or accelerated video playback.
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Liu, Jingfang, Caiying Lu, and Shuangjinhua Lu. "Research on the Influencing Factors of Audience Popularity Level of COVID-19 Videos during the COVID-19 Pandemic." Healthcare 9, no. 9 (September 4, 2021): 1159. http://dx.doi.org/10.3390/healthcare9091159.
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(1) Background: During the COVID-19 pandemic, users share and obtain COVID-19 information through video platforms, but only a few COVID-19 videos become popular among most audiences. Therefore, it is a very interesting and important research question to explore the influencing factors of the popularity of COVID-19 videos during the COVID-19 pandemic; (2) Our research collects video data related to the keyword “COVID-19” on video platform, the data are analyzed by content analysis and empirical analysis. We then constructed a theoretical model based on the information adoption model; (3) A total of 251 videos were divided into three categories. The least common category was the data and analysis category (11.2%), followed by the prevention and control status category (13.5%); the knowledge and general science category was the most common (75.3%). From the perspective of video quality, the information sources of most videos are relatively reliable, and the content of medical information is low. The research results showed that short video lengths, longer descriptions, more reliable video sources and lower medical information content were more popular with audiences. Audiences are more likely to be attracted to videos in the prevention and control status category and knowledge and general science category. Videos uploaded by uploaders who have a higher influence are more popular with audiences; (4) Conclusions: During the COVID-19 pandemic, information quality (video length, description length, video content type, and medical information and content index) and source credibility (information source reliability, influence and certification type) all significantly influence the popularity level of COVID-19 videos. Our research conclusions can provide management suggestions for the platform, make videos released by uploaders more popular with audiences, and help audiences better understand COVID-19 information and make prevention and control efforts.
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Ketsman, Olha, Tareq Daher, and Juan A. Colon Santana. "An investigation of effects of instructional videos in an undergraduate physics course." E-Learning and Digital Media 15, no. 6 (November 2018): 267–89. http://dx.doi.org/10.1177/2042753018805594.
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This mixed methods study focuses on the use of instructional videos in an undergraduate physics classroom. Previous research has explored the effects of videos on student performance however, limited research exists on the effects of science instructional videos with embedded quiz questions on student achievement. This study compares students’ performance when a problem-solving physics video is presented to students with embedded quiz questions versus videos with quiz questions presented after the video. Additionally, the study explores students’ attitudes and preferences toward the positioning of questions in videos when learning independently. A total of 111 college students enrolled in the introductory physics course at the large Midwestern University were randomly assigned into two groups to participate in the intervention. Students completed pre and post surveys, watched instructional video and completed quiz that covered content discussed in the video that either was embedded or was presented post-video watching. The quantitative analysis did not result in statistical significance in students’ performance when groups were compared. However, qualitative analysis demonstrated strong student preferences toward the use of video in STEM classrooms when scientific problem-solving content is taught, stronger engagement with content when quizzes were embedded, and desire for immediate feedback. The study has implications for faculty who use videos and quizzing in their classroom or consider using videos in the future.
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Kwan, Chiman, and Bence Budavari. "A New Blind Video Quality Metric for Assessing Different Turbulence Mitigation Algorithms." Electronics 10, no. 18 (September 16, 2021): 2277. http://dx.doi.org/10.3390/electronics10182277.
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Although many algorithms have been proposed to mitigate air turbulence in optical videos, there do not seem to be consistent blind video quality assessment metrics that can reliably assess different approaches. Blind video quality assessment metrics are necessary because many videos containing air turbulence do not have ground truth. In this paper, a simple and intuitive blind video quality assessment metric is proposed. This metric can reliably and consistently assess various turbulent mitigation algorithms for optical videos. Experimental results using more than 10 videos in the literature show that the proposed metrics correlate well with human subjective evaluations. Compared with an existing blind video metric and two other blind image quality metrics, the proposed metrics performed consistently better.
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Lin, Ming, Michael Chau, Jinwei Cao, and Jay F. Nunamaker Jr. "Automated Video Segmentation for Lecture Videos." International Journal of Technology and Human Interaction 1, no. 2 (April 2005): 27–45. http://dx.doi.org/10.4018/jthi.2005040102.
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Pan, Peng, Changhua Yu, Tao Li, Xilei Zhou, Tingting Dai, Hanhan Tian, and Yaozu Xiong. "Xigua Video as a Source of Information on Breast Cancer: Content Analysis." Journal of Medical Internet Research 22, no. 9 (September 29, 2020): e19668. http://dx.doi.org/10.2196/19668.
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Background Seeking health information on the internet is a popular trend. Xigua Video, a short video platform in China, ranks among the most accessed websites in the country and hosts an increasing number of videos with medical information. However, the nature of these videos is frequently unscientific, misleading, or even harmful. Objective Little is known about Xigua Video as a source of information on breast cancer. Thus, the study aimed to investigate the contents, quality, and reliability of breast cancer–related content on Xigua Video. Methods On February 4, 2020, a Xigua Video search was performed using the keyword “breast cancer.” Videos were categorized by 2 doctors based on whether the video content provided useful or misleading information. Furthermore, the reliability and quality of the videos were assessed using the 5-point DISCERN tool and 5-point global quality score criteria. Results Out of the 170 videos selected for the study, 64 (37.6%) were classified as useful, whereas 106 (62.4%) provided misleading information. A total of 41.8% videos (71/170) were generated by individuals compared to 19.4% videos (33/170) contributed by health care professionals. The topics mainly covered etiology, anatomy, symptoms, preventions, treatments, and prognosis. The top topic was “treatments” (119/170, 70%). The reliability scores and global quality scores of the videos in the useful information group were high (P<.001). No differences were observed between the 2 groups in terms of video length, duration in months, and comments. The number of total views was higher for the misleading information group (819,478.5 vs 647,940) but did not reach a level of statistical significance (P=.112). The uploading sources of the videos were mainly health care professionals, health information websites, medical advertisements, and individuals. Statistical differences were found between the uploading source groups in terms of reliability scores and global quality scores (P<.001). In terms of total views, video length, duration, and comments, no statistical differences were indicated among the said groups. However, a statistical difference was noted between the useful and misleading information video groups with respect to the uploading sources (P<.001). Conclusions A large number of Xigua videos pertaining to breast cancer contain misleading information. There is a need for accurate health information to be provided on Xigua Video and other social media; health care professionals should address this challenge.
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Liu, Xiulei, Shoulu Hou, Qiang Tong, Xuhong Liu, Zhihui Qin, and Junyang Yu. "A Prediction Approach for Video Hits in Mobile Edge Computing Environment." Security and Communication Networks 2020 (November 17, 2020): 1–6. http://dx.doi.org/10.1155/2020/8857564.
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Smart device users spend most of the fragmentation time in the entertainment applications such as videos and films. The migration and reconstruction of video copies can improve the storage efficiency in distributed mobile edge computing, and the prediction of video hits is the premise for migrating video copies. This paper proposes a new prediction approach for video hits based on the combination of correlation analysis and wavelet neural network (WNN). This is achieved by establishing a video index quantification system and analyzing the correlation between the video to be predicted and already online videos. Then, the similar videos are selected as the influencing factors of video hits. Compared with the autoregressive integrated moving average (ARIMA) and gray prediction, the proposed approach has a higher prediction accuracy and a broader application scope.
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Valenti, Elizabeth, Tennille Feldbush, and Jean Mandernach. "Comparison of Faculty and Student Perceptions of Videos in the Online Classroom." Journal of University Teaching and Learning Practice 16, no. 3 (July 1, 2019): 71–92. http://dx.doi.org/10.53761/1.16.3.6.
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While instructors and students generally value the integration of videos in the online classroom, there are a number of practical considerations that may mediate the utility of videos as a teaching and learning tool. The current survey examines faculty and student perceptions of videos in the online classroom with an emphasis on the practical factors that influence video integration. Results indicate differences in faculty and student acceptance and endorsements of videos for content presentation compared to assignment feedback. Faculty desire more opportunities to interact with their students (i.e., video-based discussions, video-conferencing, and student-generated videos) and highlighted efficiency as a key consideration. Students emphasized a desire for multiple opportunities to engage with course material; while students value text-based resources, they also want to have options to learn and interact via video and audio. Key to student recommendations is an awareness of the time involved to engage with online videos. Discussion highlights practical approaches to maximize the value and utility of videos in the online classroom.
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Yu, Xiaoyan, Chengyou Wang, and Xiao Zhou. "A Survey on Robust Video Watermarking Algorithms for Copyright Protection." Applied Sciences 8, no. 10 (October 11, 2018): 1891. http://dx.doi.org/10.3390/app8101891.
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With the development and popularization of the Internet and the rise of various live broadcast platforms, digital videos have penetrated into all aspects of people’s life. At the same time, all kinds of pirated videos are also flooding the Internet, which seriously infringe the rights and interests of video copyright owners and hinder the healthy development of the video industry. Therefore, robust video watermarking algorithms for copyright protection have emerged as these times require. In this paper, we review robust video watermarking algorithms for copyright protection based on original videos and compressed videos. Basic models and properties of video watermarking algorithms are described, and the evaluation indexes corresponding to each property are also introduced. To help researchers understand various existing robust watermarking algorithms quickly, some basic information and the quantitative estimation of several performances are analyzed and compared. Finally, we discuss the challenges in the research of robust video watermarking algorithms, and give possible development directions for the future.
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Storch, Iago, Luis A. da Silva Cruz, Luciano Agostini, Bruno Zatt, and Daniel Palomino. "The Impacts of Equirectangular 360-degrees Videos in the Intra-Frame Prediction of HEVC." Journal of Integrated Circuits and Systems 14, no. 1 (April 29, 2019): 1–10. http://dx.doi.org/10.29292/jics.v14i1.46.
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Recent technological advancements allowed videos to come from a simple sequence of 2D images to be displayed in a flat screen display into spherical representations of one’s surroundings, capable of creating a realistic immersive experience when allied to head-mounted displays. In order to explore the existing infrastructure for video coding, 360-degrees videos are pre-processed and then encoded by conventional video coding standards. However, the flattened version of 360-degrees videos present some peculiarities which are not present in conventional videos, and therefore, may not be properly exploited by conventional video coders. Aiming to find evidence that conventional video encoders can be adapted to perform better over 360-degrees videos, this work performs an evaluation on the intra-frame prediction performed by the High Efficiency Video Coding over 360-degrees videos in the equirectangular projection. Experimental results point that 360-degrees videos present spatial properties that make some regions of the frame likely to be encoded using a reduced set of prediction modes and block sizes. This behavior could be used in the development of fast decision and energy saving algorithms by evaluating a reduced set of prediction modes and block sizes depending on the regions of the frame being encoded.
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Pan, Tung-Ming, Kuo-Chin Fan, and Yuan-Kai Wang. "Object-Based Approach for Adaptive Source Coding of Surveillance Video." Applied Sciences 9, no. 10 (May 16, 2019): 2003. http://dx.doi.org/10.3390/app9102003.
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Intelligent analysis of surveillance videos over networks requires high recognition accuracy by analyzing good-quality videos that however introduce significant bandwidth requirement. Degraded video quality because of high object dynamics under wireless video transmission induces more critical issues to the success of smart video surveillance. In this paper, an object-based source coding method is proposed to preserve constant quality of video streaming over wireless networks. The inverse relationship between video quality and object dynamics (i.e., decreasing video quality due to the occurrence of large and fast-moving objects) is characterized statistically as a linear model. A regression algorithm that uses robust M-estimator statistics is proposed to construct the linear model with respect to different bitrates. The linear model is applied to predict the bitrate increment required to enhance video quality. A simulated wireless environment is set up to verify the proposed method under different wireless situations. Experiments with real surveillance videos of a variety of object dynamics are conducted to evaluate the performance of the method. Experimental results demonstrate significant improvement of streaming videos relative to both visual and quantitative aspects.
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Smith, Peter E., James McGuire, Michael Falci, Dilli Ram Poudel, Richard Kaufman, Mary Ann Patterson, Benjamin Pelleschi, and Esther Shin. "Analysis of YouTube as a Source of Information for Diabetic Foot Care." Journal of the American Podiatric Medical Association 109, no. 2 (March 1, 2019): 122–26. http://dx.doi.org/10.7547/16-149.
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Background: Increasing amounts of diabetes-focused content is being posted to YouTube with little regulation as to the quality of the content. Diabetic education has been shown to reduce the risk of ulceration and amputation. YouTube is a frequently visited site for instructional and demonstrational videos posted by individuals, advertisers, companies, and health-care organizations. We sought to evaluate the usefulness of diabetic foot care video information on YouTube. Methods: YouTube was queried using the keyword phrase diabetic foot care. Original videos in English, with audio, less than 10 min long within the first 100 video results were evaluated. Two reviewers classified each video as useful or nonuseful/misleading. A 14-point usefulness criteria checklist was used to further categorize videos as most useful, somewhat useful, or nonuseful/misleading. Video sources were categorized by user type, and additional video metrics were collected. Results: Of 87 included videos, 56 (64.4%), were classified as useful and 31 (35.6%) as nonuseful/misleading. A significant difference in the mean length of useful videos vs nonuseful/misleading videos was observed (3.33 versus 1.73 min; P < .0001). There was no significant difference in terms of popularity metrics (likes, views, subscriptions, etc) between useful and nonuseful/misleading videos. Conclusions: This study demonstrates that although most diabetic foot care videos on YouTube are useful, many are still nonuseful/misleading. More concerning is the lack of difference in popularity between useful and nonuseful videos. Podiatric physicians should alert patients to possibly misleading information and offer a curated list of videos.
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Kirn, Borut. "Exploring the optimal duration of video recording in a post-discharge eLearning platform for cardiac patients." F1000Research 8 (May 21, 2019): 705. http://dx.doi.org/10.12688/f1000research.19087.1.
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Background: On a post-discharge eLearning platform for patients with coronary artery disease, videos are used as the main educational media. Medical content takes a long time to be thoroughly explained, frequently exceeding the viewer’s attention span. To find the optimal duration for such an educational video, we studied the retention of video watching. Methods: In this study, 135 (88% male; age 62±9 years) patients with coronary artery disease actively used eLearning platform which included 60 video recordings with duration ranging from 21 sec to 303 sec. The videos were divided into two groups based on their duration (short < 100 sec and long > 100 sec). From the platform usage metadata, an average video retention rate was obtained as a ratio of video viewing time and total video duration for videos watched six times or more. Independent t-tests for mean values and f-test for variance were used to compare the groups. Results: In total, 35 (18 short and 17 long) videos were included in the study and were viewed (mean ± SD) 22 ± 11 times. The mean duration of short videos was: 80 sec ± 14 sec and of long videos it was: 160 sec ± 51 sec. The retention rate in the short and long group was 0.99 ± 0.05 and 0.94 ± 0.19 respectively. Average values were not significantly different (P = 0.33), but variances were (P < 0.05). Conclusions: This study shows that the effective attention span for a video recording of this kind, based on an eLearning set-up and local population, is up to 100 sec. Videos shorter than 100sec are mostly watched fully without a break. In contrast, longer videos are often rewound, and parts watched again or not watched to the full length at all.
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Umar, Rusydi, Abdu Fadlil, and Alfiansyah Imanda Putra. "Analisis Forensics Untuk Mendeteksi Pemalsuan Video." J-SAKTI (Jurnal Sains Komputer dan Informatika) 3, no. 2 (September 13, 2019): 193. http://dx.doi.org/10.30645/j-sakti.v3i2.140.
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The current technology is proving that the ease with which crimes occur using computer science in the field of video editing, in addition from time to time more and more video editing software and increasingly eassy to use, but the development of this technology is widely misused by video creators to manipulate video hoaxes that cause disputes, so many video cases are spread which cannot be trusted by the public. Counterfeiting is an act of modifying documents, products, images or videos, among other media. Forensic video is one of the scientific methods in research that aims to obtain evidence and facts in determining the authenticity of a video. This makes the basis of research to detect video falsification. This study uses analysis with 2 forensic tools, forevid and VideoCleaner. The result of this study is the detection of differences in metadata, hash and contrast of original videos and manipulated videos.
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Wang, Wei Hua. "The Design and Implementation of a Video Image Acquisition System Based on VFW." Applied Mechanics and Materials 380-384 (August 2013): 3787–90. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3787.
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Along with the development of technologies on computer, electronic and communication, there are more and more applications of digital image acquisition and processing technology used in computer and portable systems, such as videophone, digital cameras, digital television, video monitoring, camera phones and video conferencing etc. Digitized image makes image digital transmit with high quality, which facilitates image retrieval, analysis, processing and storage. In applications such as video conferencing, it is a crucial premise to capture videos. So, in this paper, we mainly introduce the video capture technology by exploiting the VFM video services library developed by Microsoft. Software based on VFW can directly capture digital videos or digitize the traditional analog videos and then clipping them.
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Luo, Yong, Guochang Zhou, Jianping Li, and Xiao Xiao. "A MOOC Video Viewing Behavior Analysis Algorithm." Mathematical Problems in Engineering 2018 (October 16, 2018): 1–7. http://dx.doi.org/10.1155/2018/7560805.
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MOOCs (massive open online courses) are developing rapidly, but they also face many problems. As the MOOC’s most important resource, the course videos have a very important influence on the learning. This article defines the ratio R (R=Average viewing duration/Video length), which reflects the popularity of the video. By analyzing the relationship between the video length, release time, and R, we found a significant negative linear correlation between video length and R and video release time and R. However, when the number of videos is less than the threshold, the release time has less influence on R. This paper presents a video viewing behavior analysis algorithm based on multiple linear regression. The residual independence test proved that the algorithm has a good approximation to the data. It can predict the popularity of similar course videos to help producers optimize video design.
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Towsley, Gail L., Susan L. Beck, Lee Ellington, and Bob Wong. "Me & My Wishes: Lessons Learned From Prototyping Resident Centered Videos About Care Preferences." Journal of Applied Gerontology 37, no. 8 (July 5, 2016): 1037–49. http://dx.doi.org/10.1177/0733464816657473.
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Me & My Wishes are facilitated, resident-centered video-recorded conversations to communicate current and end-of-life care preferences. We describe the video production process of two prototypes in the long-term care (LTC) setting and discuss lessons learned around developing this type of intervention. Partnering with an LTC community allowed us to create videos on-site, document staff time, handle any barriers with video production, and evaluate the process. In this article, we will describe the process of two residents creating Me & My Wishes videos. Both residents responded positively to viewing their edited video (about 20 min), saying the videos would be “good for family or staff to hear feelings about preferences.” Staff members also responded positively to the videos. We discuss two key issues to consider: the possibility that resident preferences may change and the resources to produce and view videos.
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Jin, Lin, and Changhong Yan. "Research on Key Technologies of Massive Videos Management Under the Background of Cloud Platform." Journal of Advanced Computational Intelligence and Intelligent Informatics 23, no. 1 (January 20, 2019): 72–77. http://dx.doi.org/10.20965/jaciii.2019.p0072.
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With the rapid development of mobile internet and smart city, video surveillance is popular in areas such as transportation, schools, homes, and shopping malls. It is important subject to manage the massive videos quickly and accurately. This paper tries to use Hadoop cloud platform for massive video data storage, transcoding and retrieval. The key technologies of cloud computing and Hadoop are introduced firstly in the paper. Then, we analyze the functions of video management platform, such as user management, videos storage, videos transcoding, and videos retrieval. According to the basic functions and cloud computing, each module design process and figure are provided in the paper. The massive videos management system based on cloud platform will be better than the traditional videos management system in the aspects of storage capacity, transcoding performance and retrieval speed.
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Rachmaniar, Rachmaniar, and Renata Anisa. "Video Inovasi Bisnis Kuliner di Youtube (Studi Etnografi Virtual tentang Keberadaan Video-video Inovasi Bisnis Kuliner di Youtube)." Proceeding of Community Development 1 (April 4, 2018): 89. http://dx.doi.org/10.30874/comdev.2017.14.
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The purpose of this study is to analyze the presence of culinary business innovation videos on YouTube, viewed from videos that have high views and video content uploaded by YouTuber related to culinary business innovation videos. The method used in this study is a qualitative method with a virtual ethnography approach to knowing the existence of culinary business innovation videos on YouTube. The main object of this research is the videos related to culinary business innovation on YouTube.Teknik data collection conducted through participatory observation and study of literature. The results of this study indicate that the videos related to culinary business innovation on YouTube that has high views are the videos that many show bananas as the basic ingredients of processed foods made innovatively and can be used as a source of business for anyone. While video content uploaded a lot by YouTuber related to culinary business innovation videos is a food processing video that can be used as a source of business.
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Wang, Han, Shangyu Xie, and Yuan Hong. "VideoDP: A Flexible Platform for Video Analytics with Differential Privacy." Proceedings on Privacy Enhancing Technologies 2020, no. 4 (October 1, 2020): 277–96. http://dx.doi.org/10.2478/popets-2020-0073.
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AbstractMassive amounts of videos are ubiquitously generated in personal devices and dedicated video recording facilities. Analyzing such data would be extremely beneficial in real world (e.g., urban traffic analysis). However, videos contain considerable sensitive information, such as human faces, identities and activities. Most of the existing video sanitization techniques simply obfuscate the video by detecting and blurring the region of interests (e.g., faces, vehicle plates, locations and timestamps). Unfortunately, privacy leakage in the blurred video cannot be effectively bounded, especially against unknown background knowledge. In this paper, to our best knowledge, we propose the first differentially private video analytics platform (VideoDP) which flexibly supports different video analyses with rigorous privacy guarantee. Given the input video, VideoDP randomly generates a utility-driven private video in which adding or removing any sensitive visual element (e.g., human, and object) does not significantly affect the output video. Then, different video analyses requested by untrusted video analysts can be flexibly performed over the sanitized video with differential privacy. Finally, we conduct experiments on real videos, and the experimental results demonstrate that VideoDP can generate accurate results for video analytics.
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Chignell, Mark, Diba Kaya, Leon Zucherman, and Jie Jiang. "Assessment of Technical Quality of Online Video Using Visualization in Place of Experience." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 2014–18. http://dx.doi.org/10.1177/1541931213601458.
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This paper introduces a new method to collect subjective ratings of Technical Quality (TQ) in disrupted video (DV). TQ is related to whether or not the video has disruptions such as impairments (re-buffering, perceived as freezing for a period of time followed by resumption of video playback) or failures (where the video playback stops part way through and fails to complete). The assessment method introduced in this paper avoids the confounding effects of content on TQ ratings and reduces the time and effort necessary to run experiments. Actual videos, as stimuli, are replaced with schematic representations of those videos. We ran an experiment with 37 participants to explore the viability of assessing TQ using visualizations instead of actual videos. The experiment had contrasting conditions that compared TQ ratings of actual videos, vs. schematic representations of videos. The results of the experiment showed that, with appropriate training, ratings of TQ made after viewing the visualizations only were similar to TQ ratings made after actually watching videos with corresponding impairments or failures.
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Xiao, Sihan. "More than Data: A Multivocal Inquiry into Video-Based Research on Learning and Teaching." ECNU Review of Education 1, no. 3 (September 2018): 23–35. http://dx.doi.org/10.30926/ecnuroe2018010302.
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Purpose This commentary aims to echo Wilkinson, Bailey, and Maher's (this volume) arguments about the affordances of videos and video databases in studying learning and teaching. Design/Approach/Methods This article illustrates a multivocal approach to the videos from the Video Mosaic Collaborative (VMC). In particular, three mathematics teachers in Shanghai were invited to watch and discuss a set of VMC videos. Two recurring themes concerning mathematics learning and teaching were identified in this video-cued interview and discussed in relation to the VMC Analytics. Findings The VMC videos played a mediating and facilitating role in the interview, helping the teachers notice and reflect on the mundane, implicit culture practices. Based upon this analysis, I argue that to tap into the potential of video in educational research, we need to see videos as more than data and look for more possibilities of using them. Originality/Value To open and further research dialogues, this article discusses future directions of using videos in educational research and serves as an invitation to creative explorations, in-depth conversations, ethical reflections, and cross-cultural collaborations on the use of videos in education.
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Ding, Yan. "Exploring EFL Learners' Perspectives on Instructional Videos." International Journal of Computer-Assisted Language Learning and Teaching 8, no. 2 (April 2018): 60–74. http://dx.doi.org/10.4018/ijcallt.2018040104.
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Instructional videos play a central role in most online English courses of the current generation. However, previous research on the design and production of these videos has not been adequate, with direct feedback of learners largely neglected. To address the gap, the present study provides an explorative investigation of the perspectives of EFL learners on instructional videos used in online English courses. Through content analysis of students' comments on three existing instructional videos, it reveals the most favorable features of an instructional video, the means to actualize these features, and students' perceptions of different aspects of the physical design of an instructional video. The findings provide video producers with suggestions on the design and production of instructional videos used in online English courses.
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Psallidas, Theodoros, Panagiotis Koromilas, Theodoros Giannakopoulos, and Evaggelos Spyrou. "Multimodal Summarization of User-Generated Videos." Applied Sciences 11, no. 11 (June 5, 2021): 5260. http://dx.doi.org/10.3390/app11115260.
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The exponential growth of user-generated content has increased the need for efficient video summarization schemes. However, most approaches underestimate the power of aural features, while they are designed to work mainly on commercial/professional videos. In this work, we present an approach that uses both aural and visual features in order to create video summaries from user-generated videos. Our approach produces dynamic video summaries, that is, comprising the most “important” parts of the original video, which are arranged so as to preserve their temporal order. We use supervised knowledge from both the aforementioned modalities and train a binary classifier, which learns to recognize the important parts of videos. Moreover, we present a novel user-generated dataset which contains videos from several categories. Every 1 s part of each video from our dataset has been annotated by more than three annotators as being important or not. We evaluate our approach using several classification strategies based on audio, video and fused features. Our experimental results illustrate the potential of our approach.
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Bellon-Harn, Monica L., Alyssa J. Ulep, Abigail Dueppen, Vinaya Manchaiah, Rohit Ravi, and Dhanshree R. Gunjawate. "A Cross-Sectional Study of the Portrayal of Vocal Health in YouTube Videos." Perspectives of the ASHA Special Interest Groups 5, no. 4 (August 17, 2020): 867–75. http://dx.doi.org/10.1044/2020_persp-20-00058.
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Purpose The current study examines metadata, upload source, type of informational content, understandability, and actionability of YouTube videos related to vocal health. Method A search for videos related to vocal health in YouTube was completed. Metadata (i.e., number of views, video length, thumbs-up, thumbs-down), upload source (i.e., consumer, professional, media), and type of informational content were identified. The Patient Education Material Assessment Tool for Audiovisual Materials was used to assess understandability and actionability of the 100 most frequently viewed videos. Results A total of 166 videos were obtained. The collective number of views was 19,799,299. A significant difference between video source groups was found for number of views and thumbs-down, but not for video length or thumbs-up. The YouTube videos were primarily educational, and a majority of the content focused on tips and techniques for professional voice users. Videos had adequate understandability (i.e., 71.5%) and actionability scores (i.e., 74%). Videos uploaded by consumers were superior to professional sources in actionability, but no difference was noted between video source for understandability. Conclusions Study insights about metadata, source, type of informational content, understandability, and actionability of YouTube videos may help professionals understand the nature of online content related to vocal health. Study implications and recommendations for further research are discussed.
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Wang, Yuanyuan, Daisuke Kitayama, Yukiko Kawai, Kazutoshi Sumiya, and Yoshiharu Ishikawa. "An Automatic Video Reinforcing System for TV Programs using Semantic Metadata from Closed Captions." International Journal of Multimedia Data Engineering and Management 7, no. 1 (January 2016): 1–21. http://dx.doi.org/10.4018/ijmdem.2016010101.
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There are various TV programs such as travel and educational programs. While watching TV programs, viewers often search related information about the programs through the Web. Nevertheless, as TV programs keep playing, viewers possibly miss some important scenes when searching the Web. As a result, their enjoyment would be spoiled. Another problem is that there are various topics in each scene of a video, and viewers usually have different levels of knowledge. Thus, it is important to detect topics in videos and supplement videos with related information automatically. In this paper, the authors propose a novel automatic video reinforcing system with two functions: (1) a media synchronization mechanism, which presents supplementary information synchronized with videos, in order to enable viewers to effectively understand the geographic data in videos; (2) a video reconstruction mechanism, which generates new video contents based on viewers' interests and knowledge by adding and removing scenes, in order to enable viewers to enjoy the generated videos without additional search.
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Waykar, Sanjay B., and C. R. Bharathi. "Multimodal Features and Probability Extended Nearest Neighbor Classification for Content-Based Lecture Video Retrieval." Journal of Intelligent Systems 26, no. 3 (July 26, 2017): 585–99. http://dx.doi.org/10.1515/jisys-2016-0041.
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AbstractDue to the ever-increasing number of digital lecture libraries and lecture video portals, the challenge of retrieving lecture videos has become a very significant and demanding task in recent years. Accordingly, the literature presents different techniques for video retrieval by considering video contents as well as signal data. Here, we propose a lecture video retrieval system using multimodal features and probability extended nearest neighbor (PENN) classification. There are two modalities utilized for feature extraction. One is textual information, which is determined from the lecture video using optical character recognition. The second modality utilized to preserve video content is local vector pattern. These two modal features are extracted, and the retrieval of videos is performed using the proposed PENN classifier, which is the extension of the extended nearest neighbor classifier, by considering the different weightages for the first-level and second-level neighbors. The performance of the proposed video retrieval is evaluated using precision, recall, and F-measure, which are computed by matching the retrieved videos and the manually classified videos. From the experimentation, we proved that the average precision of the proposed PENN+VQ is 78.3%, which is higher than that of the existing methods.
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Crutchfield, Connor R., Jessie S. Frank, Matthew J. Anderson, David P. Trofa, and T. Sean Lynch. "A Systematic Assessment of YouTube Content on Femoroacetabular Impingement: An Updated Review." Orthopaedic Journal of Sports Medicine 9, no. 6 (June 1, 2021): 232596712110163. http://dx.doi.org/10.1177/23259671211016340.
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Background: Online video-sharing platforms such as YouTube have become popular sources of medical information for patients. However, concern exists regarding the quality of such non–peer reviewed content. In fact, a previous investigation found the majority of YouTube information related to femoroacetabular impingement (FAI) to be of poor quality. Purpose: To provide an updated assessment of the quality of FAI-related videos available on YouTube. Study Design: Cross-sectional study. Methods: The terms FAI, femoroacetabular impingement, and hip impingement were searched on YouTube, and exclusion criteria were applied to the first 100 results for each term. The diagnostic and treatment content of each video was graded and assigned a quality assessment rating based on a previously used rubric. Video characteristics (e.g. duration, views, “likes”) were compared using both quality assessment rating and video source. Results: A total of 142 videos were included in the final analysis. The most common video source was educational (48.6%), followed by physician-sponsored (30.3%). The majority of videos were graded as “somewhat useful” for both diagnostic and treatment content (59.4% and 61.6%, respectively); however, treatment content was rated “not useful” more often than diagnostic information (20.3% vs. 8.7%, respectively). Videos rated as “somewhat useful” received the most views per day on average, while educational videos were the most viewed by source (views and views per day). Educational videos had more views and likes on average than physician-sponsored videos ( P < .05), but all other comparisons of video characteristics by source were not significant. Video duration was the only characteristic found to vary significantly by quality assessment rating ( P < .001 for both diagnostic and treatment analyses), with higher-quality videos tending to be longer. Videos rated as “excellent” and “very useful” had mean durations >30 minutes but were viewed the least. Conclusion: The overall quality of FAI-related content on YouTube remains low. Clinicians should be familiar with medical information available to patients on the internet, as it can influence patients’ perspectives and shared decision-making processes. This review substantiates the need for more publicly available, high-quality video content regarding the diagnosis and treatment of FAI.
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Maras, Marie-Helen, and Alex Alexandrou. "Determining authenticity of video evidence in the age of artificial intelligence and in the wake of Deepfake videos." International Journal of Evidence & Proof 23, no. 3 (October 28, 2018): 255–62. http://dx.doi.org/10.1177/1365712718807226.
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Deepfake videos are the product of artificial intelligence or machine-learning applications that merge, combine, replace and superimpose images and video clips onto a video, creating a fake video that appears authentic. The main issue with Deepfake videos is that anyone can produce explicit content without the consent of those involved. While some of these videos are humorous and benign, the majority of them are pornographic. The faces of celebrities and other well-known (and lesser-known) individuals have been superimposed on the bodies of porn stars. The existence of this technology erodes trust in video evidence and adversely affects its probative value in court. This article describes the current and future capabilities of this technology, stresses the need to plan for its treatment as evidence in court, and draws attention to its current and future impact on the authentication process of video evidence in courts. Ultimately, as the technology improves, parallel technologies will need to be developed and utilised to identify and expose fake videos.
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Varchenko- Trotsenko, Liliia, Anastasiia Tiutiunnyk, and Tatiana Terletska. "USING VIDEO MATERIALS IN ELECTRONIC LEARNING COURSES." OPEN EDUCATIONAL E-ENVIRONMENT OF MODERN UNIVERSITY, SPECIAL EDITION (2019): 375–82. http://dx.doi.org/10.28925/2414-0325.2019s34.
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Video materials belong to the most powerful tools in educational process because they provide learners simultaneously with auditory and visual information. Thus, according to the Edgar Dale’s cone of learning they are more effective than classical classroom lectures, reading textbooks or listening to podcasts. Moreover, video as a part of a learning routine appeals better to modern students who are used to gaining knowledge from digital sources. The article presents data on video materials implementation into an electronic learning course (ELC) of a university both as a part of distant learning system and for providing information for flipped learning process. In addition, the question of using videos in the classroom is given attention. The article also deals with peculiarities of educational video design considering psychological features and studying patterns of modern students who mainly belong to z-generation. That is why microlearning is considered as a successful distant learning implementation method for the above mentioned purposes. Video materials for microlearning should not be more than 15 minutes long, should have clearly structured information and involve student into the learning process. There are different types of videos used in ELC such as introductory videos, video lectures, video instructions, additional materials videos, interactive videos. In spite of variety of the content all types of video materials undergo the same design procedure with the following steps: splitting materials into logically completed parts, defining notions, writing meaningful questions, structuring components of the video etc. Designing a video for an electronic learning course must be a carefully planned process to ensure high quality of a finished product. Preceding and following activities also have to be designed to receive maximum outcome from the course.
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Fajriah, Noor, Sumartono Sumartono, Indah Budiarti, and Ellina Normarisda. "Workshop Pembuatan Video Pembelajaran Matematika dengan Menggunakan Aplikasi Bandicam." Bubungan Tinggi: Jurnal Pengabdian Masyarakat 3, no. 1 (March 2, 2021): 1. http://dx.doi.org/10.20527/btjpm.v3i1.2510.
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Video pembelajaran matematika diperlukan dalam pembelajaran daring untuk mengoptimalkan kemampuan peserta didik. Tujuan diadakannya workshop adalah memotivasi guru matematika membuat video pembelajaran matematika dengan menggunakan aplikasi bandicam. Workshop diadakan secara daring dengan metode sinkronus dan asinkronus dari tanggal 22-30 Oktober 2020. Peserta adalah guru matematika yang tergabung dalam MGMP MTs dan MA se-Kota Banjarmasin sebanyak 29 orang. Guru yang sudah sering membuat video pembelajaran sederhana sangat antusias karena video yang dihasilkan dengan menggunakan aplikasi bandicam menampilkan wajah guru yang berbicara. Kegiatan workshop ini mendapat respon di kriteria sangat baik untuk keempat aspek yang dinilai yaitu materi, narasumber, durasi dan media penyampaian serta guru dapat membuat video pembelajaran matematika. Peserta disarankan menggunakan konteks etnomatematika yaitu dengan memasukkan budaya Banjar pada pembuatan video pembelajaran matematika agar lebih bermakna. Beberapa guru telah berhasil membuat video pembelajaran matematika kemudian menguploadnya ke youtube.Mathematics learning videos are needed in online learning to optimize students' abilities. The purpose of holding the workshop is to motivate mathematics teachers to make mathematics learning videos using the Bandicam application. The workshop was held online with synchronous and asynchronous methods from 22 to 30 October 2020. Participants were 29 math teachers who are members of the MGMP MTs and MA in Banjarmasin City. Teachers who have often made simple learning videos are very enthusiastic because the videos produced using the Bandicam application show the face of the teacher speaking. This workshop activity received a very good response in the criteria for the four aspects assessed, namely material, resource persons, duration and media of delivery, and the teacher could make mathematics learning videos. Participants are advised to use an ethnomathematics context, namely by including the Banjar Culture in making mathematics learning videos to make them more meaningful. Some teachers have succeeded in making mathematics learning videos and then uploading them to YouTube.