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Artykuły w czasopismach na temat „Video”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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Cyrus, Deboo, Kshatriya Shubham, and Bhat Rajat. "Video Liveness Verification." International Journal of Trend in Scientific Research and Development 2, no. 3 (2019): 2449–52. https://doi.org/10.31142/ijtsrd12772.

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The ubiquitous and connected nature of camera loaded mobile devices has greatly estimated the value and importance of visual information they capture. Today, sending videos from camera phones uploaded by unknown users is relevant on news networks, and banking customers expect to be able to deposit checks using mobile devices. In this paper we represent Movee, a system that addresses the fundamental question of whether the visual stream exchange by a user has been captured live on a mobile device, and has not been tampered with by an adversary. Movee leverages the mobile device motion sensors a

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Tafesse, Wondwesen. "YouTube marketing: how marketers' video optimization practices influence video views." Internet Research 30, no. 6 (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 practi

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S., Sankirti, and P. M. Kamade. "Video OCR for Video Indexing." International Journal of Engineering and Technology 3, no. 3 (2011): 287–89. http://dx.doi.org/10.7763/ijet.2011.v3.239.

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Kiziltepe, Rukiye Savran, Lorin Sweeney, Mihai Gabriel Constantin, et al. "An annotated video dataset for computing video memorability." Data in Brief 39 (December 4, 2021): 107671. https://doi.org/10.1016/j.dib.2021.107671.

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Using a collection of publicly available links to short form video clips of an average of 6 seconds duration each, 1,275 users manually annotated each video multiple times to indicate both longterm and short-term memorability of the videos. The annotations were gathered as part of an online memory game and measured a participant’s ability to recall having seen the video previously when shown a collection of videos. The recognition tasks were performed on videos seen within the previous few minutes for short-term memorability and within the previous 24 to 72 hours for long-

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Song, Yaguang, Junyu Gao, Xiaoshan Yang, and Changsheng Xu. "Learning Hierarchical Video Graph Networks for One-Stop Video Delivery." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 1 (2022): 1–23. http://dx.doi.org/10.1145/3466886.

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The explosive growth of video data has brought great challenges to video retrieval, which aims to find out related videos from a video collection. Most users are usually not interested in all the content of retrieved videos but have a more fine-grained need. In the meantime, most existing methods can only return a ranked list of retrieved videos lacking a proper way to present the video content. In this paper, we introduce a distinctively new task, namely One-Stop Video Delivery (OSVD) aiming to realize a comprehensive retrieval system with the following merits: it not only retrieves the relev

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Lin, Meihan. "Impacts of Short Video to Long Video and the Corresponding Countermeasures: Taking Tencent Video as an Example." Highlights in Science, Engineering and Technology 92 (April 10, 2024): 194–98. http://dx.doi.org/10.54097/rnxg6e63.

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The video industry is a comprehensive field that integrates multiple attributes such as culture, technology, and economy. It uses artificial intelligence and high-tech means as a communication medium, with film and television entertainment content as its core, and has become an important part of the tertiary industry. At the same time, the video industry has a profound impact on people's living conditions and spiritual world. With the rapid rise and prosperity of short videos in recent years, the traditional video industry has been greatly impacted. Taking Tencent Video as an example, this art

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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 (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 gener

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Nuratika, Sikin, Safra Apriani Zahraa, and M. I. Gunawan. "THE MAKING OF PROFILE VIDEO ABOUT TOURISM IN SIAK REGENCY." INOVISH JOURNAL 4, no. 1 (2019): 102. http://dx.doi.org/10.35314/inovish.v4i1.958.

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Tourism is very important in Indonesia. However, there are many ways to promote tourism. One of the ways is through video. In promoting tourism in Siak Regency, many people have made tourism video but only in short videos. They are advertisement videos. The duration of the videos was limited and the dubber explained the exposure of the video used Bahasa Indonesia. Therefore, this profile video about tourism in Siak Regency will help Siak Regency in promoting tourism destinations. The main purpose of this final project is to explain the processes of making a profile video about tourism in Siak

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He, Wenjia, Ibrahim Sabek, Yuze Lou, and Michael Cafarella. "PAINE Demo: Optimizing Video Selection Queries with Commonsense Knowledge." Proceedings of the VLDB Endowment 16, no. 12 (2023): 3902–5. http://dx.doi.org/10.14778/3611540.3611581.

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Because video is becoming more popular and constitutes a major part of data collection, we have the need to process video selection queries --- selecting videos that contain target objects. However, a naïve scan of a video corpus without optimization would be extremely inefficient due to applying complex detectors to irrelevant videos. This demo presents Paine; a video query system that employs a novel index mechanism to optimize video selection queries via commonsense knowledge. Paine samples video frames to build an inexpensive lossy index, then leverages probabilistic models based on existi

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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 (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, espec

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Delti Kurnia, Septika Rudiamon, and Ramesh Prasad Adhikary. "Utilizing the Inshot Application as A Distance Learning Video." Journal International Inspire Education Technology 1, no. 1 (2022): 11–20. http://dx.doi.org/10.55849/jiiet.v1i1.28.

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Distance learning at this time results in low delivery of learning materials and learning objectives are not achieved optimally, because teachers only give assignments without learning video learning media, so students do not really understand the learning material, teachers must make learning media at the same time. distance learning by utilizing advanced technology such as using inshot editing applications in learning videos. The goal is for teachers to better know, understand, and increase knowledge about the use of the inshot video editing application as a learning video editing applicatio

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Luo, Dezhao, Shaogang Gong, Jiabo Huang, Hailin Jin, and Yang Liu. "Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 6 (2025): 5847–55. https://doi.org/10.1609/aaai.v39i6.32624.

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Video moment retrieval (VMR) aims to locate the most likely video moment(s) corresponding to a text query in untrimmed videos. Training of existing methods is limited by the lack of diverse and generalisable VMR datasets, hindering their ability to generalise moment-text associations to queries containing novel semantic concepts (unseen both visually and textually in a training source domain). For model generalisation to novel semantics, existing methods rely heavily on assuming to have access to both video and text sentence pairs from a target domain in addition to the source domain pair-wise

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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 (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 unde

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Feng, Jinrui. "Review of Research on E-commerce Short Videos." Frontiers in Humanities and Social Sciences 4, no. 4 (2024): 235–42. http://dx.doi.org/10.54691/at122k44.

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Short videos are innovative video content created through simple and quick shooting and post-production using smart devices, allowing for instant publication and sharing on social media platforms. Although there are various definitions, short videos are typically considered to be limited to a few minutes in length, easily watchable, diverse in content form, and highly engaging for users. The short video e-commerce model revolves around consumers, utilizing the creation of short video content embedded with product information to synchronize the circulation of products and content, making it one

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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 o

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Cheng, Di, Kuiwu Ren, Xiang Gao, et al. "Video quality of nonalcoholic fatty liver disease on TikTok: A cross-sectional study." Medicine 103, no. 34 (2024): e39330. http://dx.doi.org/10.1097/md.0000000000039330.

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The short-video application TikTok shows great potential for disseminating health information. We assessed the content, sources, and quality of information in videos related to nonalcoholic fatty liver disease (NAFLD) on TikTok. Our study aims to identify upload sources, content, and characteristic information for NAFLD videos on TikTok and further evaluate factors related to video quality. We investigated the top 100 videos related to NAFLD on TikTok and analyzed the upload sources, content, and characteristics of these videos. Evaluate video quality using the DISCERN tool and Global Quality

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Qin, Yi, Ou Ye, and Yan Fu. "An Automatic Near-Duplicate Video Data Cleaning Method Based on a Consistent Feature Hash Ring." Electronics 13, no. 8 (2024): 1522. http://dx.doi.org/10.3390/electronics13081522.

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In recent decades, with the ever-growing scale of video data, near-duplicate videos continue to emerge. Data quality issues caused by near-duplicate videos are becoming more and more prominent, which has affected the application of normal videos. Although current studies on near-duplicate video detection can help uncover data quality issues for videos, they still lack a process of automatic merging for the video data represented by high-dimensional features, which makes it difficult to automatically clean the near-duplicate videos to improve data quality for video datasets. At present, there a

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Gong, Xiaohui. "A Personalized Recommendation Method for Short Drama Videos Based on External Index Features." Advances in Meteorology 2022 (April 18, 2022): 1–10. http://dx.doi.org/10.1155/2022/3601956.

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Dramatic short videos have quickly gained a huge number of user views in the current short video boom. The information presentation dimension of short videos is higher, and it is easier to be accepted and spread by people. At present, there are a large number of drama short video messages on the Internet. These short video messages have brought serious information overload to users and also brought great challenges to short video operators and video editors. Therefore, how to process short videos quickly has become a research hotspot. The traditional episode recommendation process often adopts

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Jacob, Jaimon, M. Sudheep Elayidom, and V. P. Devassia. "Video content analysis and retrieval system using video storytelling and indexing techniques." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 6019. http://dx.doi.org/10.11591/ijece.v10i6.pp6019-6025.

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Videos are used often for communicating ideas, concepts, experience, and situations, because of the significant advances made in video communication technology. The social media platforms enhanced the video usage expeditiously. At, present, recognition of a video is done, using the metadata like video title, video descriptions, and video thumbnails. There are situations like video searcher requires only a video clip on a specific topic from a long video. This paper proposes a novel methodology for the analysis of video content and using video storytelling and indexing techniques for the retrie

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Jaimon, Jacob, Sudheep Elayidom M., and P. Devassia V. "Video content analysis and retrieval system using video storytelling and indexing techniques." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 6019–25. https://doi.org/10.11591/ijece.v10i6.pp6019-6025.

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Videos are used often for communicating ideas, concepts, experience, and situations, because of the significant advances made in video communication technology. The social media platforms enhanced the video usage expeditiously. At, present, recognition of a video is done, using the metadata like video title, video descriptions, and video thumbnails. There are situations like video searcher requires only a video clip on a specific topic from a long video. This paper proposes a novel methodology for the analysis of video content and using video storytelling and indexing techniques for the retrie

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Koul, Rishu, E. Mahesh Gowda, Guruprasada Upadhyay, Deepak Kalia, and Kamal Verma. "Evaluation of content usefulness and quality of YouTube™ videos as an information source for maxillofacial prosthesis." SRM Journal of Research in Dental Sciences 15, no. 3 (2024): 149–56. http://dx.doi.org/10.4103/srmjrds.srmjrds_49_24.

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ABSTRACT Background: Social media platforms such as YouTube™ have become a widely popular source for information regarding health-related issues about medical and dental issues. The simplicity of online watching has concealed the drawback that these videos are not regularly reviewed or checked for their suitability as educational resources for dental professionals and students. Aim: The purpose of the current study was to evaluate the content and quality of videos on YouTube™ regarding maxillofacial prosthesis as a source of learning by dental professionals. Materials and Methods: Fifty-one vi

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Puthumana, Joseph S., Christopher D. Lopez, Alisa Girard, et al. "Evaluating YouTube Video Quality in Orthognathic Surgery Patient Education." FACE 3, no. 1 (2022): 80–86. http://dx.doi.org/10.1177/27325016211072899.

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Background: Patients are increasingly accessing consumer-style health information from a variety of web-based platforms. This study aims to assess a popular audio-visual platform for its quality of information in orthognathic procedures. Methods: We queried YouTube on August 12th, 2021 for 20 videos, by both relevance and view count, under each of 3 search terms: (1) “orthognathic surgery,” (2) “LeFort I osteotomy,” and (3) “sagittal split osteotomy.” Each video was characterized by date of upload, time since upload, video duration, video type, and video author. Videos were further characteriz

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Jia, Shijie, Tianyin Wang, Xiaoyan Su, and Liuke Liang. "A Novel Video Propagation Strategy Fusing User Interests and Social Influences Based on Assistance of Key Nodes in Social Networks." Electronics 12, no. 3 (2023): 532. http://dx.doi.org/10.3390/electronics12030532.

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Accurate video launching and propagation is significant for promotion and distribution of videos. In this paper, we propose a novel video propagation strategy that fuses user interests and social influences based on the assistance of key nodes in social networks (VPII). VPII constructs an estimation model for video distribution capacities in the process of video propagation by investigating interest preference and influence of social users: (1) An estimation method of user preferences for video content is designed by integrating a comparative analysis between current popular videos and histori

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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 alrea

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Ayob, Mohd Abqari, Liza Marziana Mohammad Noh, and Suniza Mustafa. "The Importance and Factors of Music Video’s Development for the Entertainment Industry in Malaysia." International Journal of Art and Design 6, no. 2 (2022): 79–89. http://dx.doi.org/10.24191/ijad.v6i2.1150.

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Video is an information delivery media that plays a big role in human life nowadays. The emergence of new media such as the use of applications has further increased the role of video especially in the entertainment industry. The goal of a music video is to present video content visually accompanied by music, which combines sound and visual media. The advantage of music videos is that they are able to attract the audience. Viewers can visually watch video content such as a singer's performance. The impact of music videos on the audience is huge, whether it is following the fashion style and pe

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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 (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 evidenc

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C, Chanjal. "Feature Re-Learning for Video Recommendation." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 3143–49. http://dx.doi.org/10.22214/ijraset.2021.35350.

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Predicting the relevance between two given videos with respect to their visual content is a key component for content-based video recommendation and retrieval. The application is in video recommendation, video annotation, Category or near-duplicate video retrieval, video copy detection and so on. In order to estimate video relevance previous works utilize textual content of videos and lead to poor performance. The proposed method is feature re-learning for video relevance prediction. This work focus on the visual contents to predict the relevance between two videos. A given feature is projecte

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Pandey, Aditya. "Video Summarizer." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48145.

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ABSTRACT - Video summarization seeks to automatically produce compact representations of long video content with the most important and informative parts. As video data grows at a fast pace, manual browsing is becoming inefficient, and thus there is a need for new techniques that can efficiently summarize videos. This project investigates new methods for video summarization based on recent developments in deep learning and computer vision. The suggested approach integrates visual and temporal features to produce summaries that are informative, coherent, and contextually pertinent. Through the

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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

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Jennefer K Shanthini. "Video Audio Hosting (Internet video, YouTube, Vimeo, Wistia marketing & training strategies)." Recent Research Reviews Journal 2, no. 1 (2023): 153–59. http://dx.doi.org/10.36548/rrrj.2023.1.13.

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The objective of this study is to investigate the reasons for making online videos on platforms like Wistia, Twitch and YouTube. The available technologies and tools offered by the video sharing platforms have made the private online activities more professionalized. Even the practice of creating video content is becoming increasingly professionalized and commercialized. The motivations from outsides, which are frequently linked with work, i.e., the external factors are still more important for content creation than intrinsic motivations, which are connected to recreational work. This study il

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Hua, Hang, Yunlong Tang, Chenliang Xu, and Jiebo Luo. "V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 4 (2025): 3599–607. https://doi.org/10.1609/aaai.v39i4.32374.

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Video summarization aims to create short, accurate, and cohesive summaries of longer videos. Despite the existence of various video summarization datasets, a notable limitation is their limited amount of source videos, which hampers the effective training of advanced large vision-language models (VLMs). Additionally, most existing datasets are created for video-to-video summarization, overlooking the contemporary need for multimodal video content summarization. Recent efforts have been made to expand from unimodal to multimodal video summarization, categorizing the task into three sub-tasks ba

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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 (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

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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 influe

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Fu, Hailin. "The Impact of Short videos on People's Consumption Habits." Journal of Education, Humanities and Social Sciences 23 (December 13, 2023): 348–52. http://dx.doi.org/10.54097/ehss.v23i.12918.

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This article aims to analyze and summarize the changes in consumption habits caused by short video users due to the influence of short video through the literature review and the research of short video software. At the same time, the different age groups of users are affected by short videos. This article analyzes the different marketing strategies and methods of introducing products between different short video platforms. And the influencing factors of short videos and users' personal responses are studied. In addition, this paper combines short video audiences and consumers' personal facto

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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

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Mardhiyana, Dewi, Ariesma Setyarum, and Amalia Fitri. "Penggunaan Video Interaktif Edpuzzle dalam Pembelajaran Matematika dan Bahasa pada Era Merdeka Belajar di SMP Al Fusha Kedungwuni." Bubungan Tinggi: Jurnal Pengabdian Masyarakat 4, no. 4 (2022): 1671. http://dx.doi.org/10.20527/btjpm.v4i4.6139.

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Salah satu pembelajaran yang inovatif dan kreatif bisa dilakukan dengan menggunakan media pembelajaran yang menarik, seperti video interaktif. Edpuzzle adalah salah satu platform yang bisa membantu guru dalam melaksanakan pembelajaran melalui video yang bersifat interaktif antara guru dan siswa. Tujuan dari kegiatan pengabdian ini adalah pemanfaatan video interaktif edpuzzle dalam pembelajaran Matematika dan Bahasa sebagai inovasi pembelajaran untuk mengatasi rendahnya minat belajar siswa dan kurangnya literasi teknologi guru. Metode yang digunakan dalam pengabdian ini dengan memberikan pelati

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Nguyen, Cuong, Wu-chi Feng, and Feng Liu. "Hotspot: Making computer vision more effective for human video surveillance." Information Visualization 15, no. 4 (2016): 273–85. http://dx.doi.org/10.1177/1473871616630015.

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Studies have shown that the human capability of monitoring multiple surveillance videos is limited. Computer vision techniques have been developed to detect abnormal events to support human video surveillance; however, their results are often unreliable, thus distracting surveillance operators and making them miss important events. This article presents Hotspot as a surveillance video visualization system that can effectively leverage noisy computer vision techniques to support human video surveillance. Hotspot consists of two views: a designated focus view to summarize videos with detected ev

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Wen, Hao. "Research on the Advantages of Short Video and the Way to Revive Long Video." Communications in Humanities Research 26, no. 1 (2024): 17–20. http://dx.doi.org/10.54254/2753-7064/26/20232005.

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Short video is one of the fastest growing industries at present, and the spread of short video on social media is very large. Long videos not only provide more selectivity, but also change the way humans watch videos. However, in the face of massive content competition, it becomes more difficult to attract viewers, leading to more people choosing to watch short videos. This paper explores the advantages of short video in modern communication, and proposes the revival of long video. Short videos are popular for their concise and clear features, which grab viewers' attention in a fast-paced soci

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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

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Li, Eric. "AI in Video Recommendation System." Highlights in Science, Engineering and Technology 35 (April 11, 2023): 280–85. http://dx.doi.org/10.54097/hset.v35i.7214.

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Short videos are very popular all over the world. Video recommendation system is an essential part in it. It can help people to watch the video that they are interested in. This paper is written for study the specific principle of the video recommendation system. The result was getting through relative literatures and actual test. Short video recommendation systems typically use collaborative filtering and deep learning techniques to achieve this. Collaborative filtering comes in two types: user-based and content-based. User-based collaborative filtering recommends videos to new users based on

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Desai, T. S., and D. C. Kulkarni. "Assessment of Interactive Video to Enhance Learning Experience: A Case Study." Journal of Engineering Education Transformations 35, S1 (2022): 74–80. http://dx.doi.org/10.16920/jeet/2022/v35is1/22011.

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In modern STEM classrooms, video learning holds an important place, since it offers flexibility of time, place and content. But a lot of improvement is needed to enhance the learning experience because conventional video lecture lacks interaction that is indispensable component of teaching – learning process. Interactive video is highly recommended to resolve this issue as it allows proactive and random access to video content and promotes learner – content interactivity by inserting interactive elements. Interactive kind of video facilitates students’ engagement and active learning through in

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Lee, Juhyeon, Seungjun Lee, Sunghoon Kim, and Dongwook Kang. "A Framework for Symmetric-Quality S3D Video Streaming Services." Applied Sciences 14, no. 23 (2024): 11011. http://dx.doi.org/10.3390/app142311011.

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This paper proposes an efficient encoding framework based on Scalable High Efficiency Video Coding (SHVC) technology, which supports both low- and high-resolution 2D videos as well as stereo 3D (S3D) video simultaneously. Previous studies have introduced Cross-View SHVC, which encodes two videos with different viewpoints and resolutions using a Cross-View SHVC encoder, where the low-resolution video is encoded as the base layer and the other video as the enhancement layer. This encoder provides resolution diversity and allows the decoder to combine the two videos, enabling 3D video services. E

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Christodoulou, Vasiliki, Vaggelis Saprikis, Louiza Kythreotou, Monogios Christodoulos, Ece Calikus, and Jared Joselowitz. "Video features predicting engagement in climate change education." E3S Web of Conferences 436 (2023): 06009. http://dx.doi.org/10.1051/e3sconf/202343606009.

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Climate change is a substantial threat. Awareness-raising and education are key goals. Social media provide an opportune context for the delivery of science education content. However, little research has examined which video features elicit engagement on climate change. This project focused on YouTube and aimed to identify the most predictive factors of video engagement on the topic of climate change. Video engagement was defined as an algorithmic composite of outcomes derived through YouTube API such as the number of views and number of comments, among other measures. A search of YouTube vid

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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 (2005): 27–45. http://dx.doi.org/10.4018/jthi.2005040102.

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Wu, Yihong, Mingli Lin, and Wenlong Yao. "The Influence of Titles on YouTube Trending Videos." Communications in Humanities Research 29, no. 1 (2024): 285–94. http://dx.doi.org/10.54254/2753-7064/29/20230835.

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The global video platform market has been growing in a remarkable way in recent years. As a part of a video, title can compel people to view. However, few scholars have studied the relationship between video trendiness and title at present. This work studies the influence of sentiment polarity of videos using Valence Aware Dictionary Sentiment Reasoner (VADER) and investigated the feasibility of the application of video titles text on YouTube trending videos research using Doc2Vec. It is found that the text in YouTube trend video titles possesses predictive value for video trendiness, but it r

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Ma, Zirui, and Bin Gu. "The influence of firm-Generated video on user-Generated video: Evidence from China." International Journal of Engineering Business Management 14 (January 2022): 184797902211186. http://dx.doi.org/10.1177/18479790221118628.

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We examined the impact of firm-generated content on firm-related user-generated content. Researches have proven that firm-related user-generated content impacts firm revenue. Therefore, it is necessary to determine what factors stimulate the creation of firm-related user-generated content. Creating user-generated videos related to companies (e.g. E-sports) on Chinese online video platforms often includes the use of firm-generated videos as material. It may suggest that firm-generated content may play an essential role in influencing Internet users to create firm-related user-generated content.

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Kumar, Anil, and Umesh Chandra Jaiswal. "Comparative Analysis of Sentiments in Children with Neurodevelopmental Disorders." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 12 (December 29, 2023): e31469. http://dx.doi.org/10.14201/adcaij.31469.

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In-group favoritism is the tendency of people where, individuals tend to punish transgressors with varying intensity based on whether they belong to their own group or not. In this cross-sectional analytical study, we examine matched samples of children with developmental disorders, observing their perspectives on punishment after watching two videos in which rules are broken. Data (video 1) shows a football player from the viewer’s country scoring a handball goal, while in data (video 2), a foreign player replicates the same action against the host nation. Every contestant viewed both videos,

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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 (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 conside

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Rachmatullah, Muhammad Naufal, Sutarno Sutarno, and Rahmat Fadli Isnanto. "Video Annomaly Classification Using Convolutional Neural Network." Computer Engineering and Applications Journal 13, no. 1 (2024): 74–82. http://dx.doi.org/10.18495/comengapp.v13i1.468.

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The use of surveillance videos is increasingly popular in city monitoring systems. Generally, the analysis process in surveillance videos still relies on conventional methods. This method requires professional personnel to constantly monitor and analyze videos to identify abnormal events. Consequently, the conventional approach is time-consuming, resource-intensive, and costly. Therefore, a system is needed to automatically detect video anomalies, reducing the massive human resource utilization for video monitoring. This research employs deep learning methods to classify anomalies in videos. T

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Raddi, Shashikantha, and Suresh Reddy. "Efficient Video Streaming and Social Video Sharing." International Journal of Scientific Engineering and Research 2, no. 11 (2014): 32–36. https://doi.org/10.70729/j2013408.

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