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Journal articles on the topic 'In-stream video ads'

Author: Grafiati

Published: 25 June 2021

Last updated: 29 July 2025

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1

Holmes, Todd A. "Effects of self-brand congruity and ad duration on online in-stream video advertising." Journal of Consumer Marketing 38, no. 4 (2021): 374–85. http://dx.doi.org/10.1108/jcm-07-2019-3333.

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Purpose The purpose of this study is to examine the impact of self-brand congruity and ad duration on the effectiveness of in-stream online video advertisements. Design/methodology/approach Two online experiments were administered based on a 2 (self-brand congruity) * 2 (ad duration) between-subjects design. Three brand personality dimensions (excitement, sophistication and ruggedness) were included in the model as replicates, and effectiveness was measured using six dependent measures. Findings High self-brand congruity resulted in significantly greater attention, attitude toward the ad, atti

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Silakov, Nikolai V., and Kirill L. Tassov. "OVERVIEW OF THE TEXT AREA DETECTION ALGORITHMS IN VIDEO STREAM FRAMES." RSUH/RGGU Bulletin. Series Information Science. Information Security. Mathematics, no. 2 (2020): 27–45. http://dx.doi.org/10.28995/2686-679x-2020-2-27-45.

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. The widespread development of video technologies in cooperation with social networks such as YouTube and TicToc has led to a sharp increase in the volume of information. The processing and analysis of this data fall on the shoulders of a person. It happens as especially difficult to extract useful text information from the entire video stream. That issue is particularly acute in areas such as the state defense and law enforcement, where the volume of incoming video information is huge. A video stream can contain useful meta information helpful to search, classify, and link the data to specif

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Anamica, Verma, Bhattacharya Adhishree, and N. Aishwarya Prof. "Impact and Effectiveness of YouTube Branding in Bangalore City." Shanlax International Journal of Management 7, S1 (2020): 30–36. https://doi.org/10.5281/zenodo.3777944.

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YouTube being one of the most popular video sites on the internet today, has caused a drastic change in the lives of individuals globally over a period of time, which in-turn has grown as a social platform for the marketing and advertising sector of the market. Youtube has since grown to become a powerful money-making tool. With almost 1.5 billion users worldwide, the company can count on a lot of eyeballs for monetizing its advertising content. This figure is projected to grow to 1.86 billion global Youtube users in 2021. Every day, the world watches 1 billion hours of Youtube videos. One car

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Waseemullah, M. F. Hyder, M. A. Siddiqui, and M. Mukarram. "TV Ad Detection Using the Base64 Encoding Technique." Engineering, Technology & Applied Science Research 11, no. 5 (2021): 7605–9. http://dx.doi.org/10.48084/etasr.4337.

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Automatic TV ad detection is a challenging task in computer vision. Manual ad detection is considered a tedious job. Detecting advertisements automatically saves time and human effort. In this paper, a method is proposed for detecting repeated video segments automatically, since generally, ads appear in TV transmissions frequently. At first, the user is allowed to browse the advertisements needed to be detected, and the video in which they are to be detected. The videos are then converted into a text file using the Base64 encodings. In the third step, the advertisements are detected using stri

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Kren, Matej, Andrej Kos, and Urban Sedlar. "Mining the IPTV Channel Change Event Stream to Discover Insight and Detect Ads." Mathematical Problems in Engineering 2016 (2016): 1–5. http://dx.doi.org/10.1155/2016/2541814.

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IPTV has been widely deployed throughout the world, bringing significant advantages to users in terms of the channel offering, video on demand, and interactive applications. One aspect that has been often neglected is the ability of precise and unobtrusive telemetry. TV set-top boxes that are deployed in modern IPTV systems can be thought of as capable sensor nodes that collect vast amounts of data, representing both the user activity and the quality of service delivered by the system itself. In this paper we focus on the user-generated events and analyze how the data stream of channel change

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Tito, Anita Chrishanti Puteri, and Claudy Gabriella. "Faktor-faktor Iklan yang Dapat Menarik Penonton Untuk Menonton Iklan Skip-Ads di Youtube Sampai Selesai." Jurnal Akuntansi Maranatha 11, no. 1 (2019): 98–114. http://dx.doi.org/10.28932/jam.v11i1.1544.

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Along with the changing times, technology plays an important role in the marketing world. The increasing use of the internet has led to the shift of marketing using print media into online media. Deployment of marketing strategies can be found through various platforms such as websites and social media. One popular website is used as a means to market your product or service is YouTube. If someone is using YouTube certainly will often encounter many types of ads, but the most common and often comes up is true view in-stream ads that are usually will appear before the video starts. The ad will

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Young Kim, Nam, Ki Won Seo, and Masudul Biswas. "Unlocking Advertising Potentials of Live-Streaming Platforms: Investigating the Impact of Telepresence and Flow on Advertising Avoidance on Twitch." Athens Journal of Mass Media and Communications 11, no. 2 (2025): 73–92. https://doi.org/10.30958/ajmmc.11-2-1.

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Twitch provides a unique opportunity for exploring how users’ experiences on live-streaming platforms, characterized by immersive virtual environments full of sensory richness and real-time interactivity, intersect with their perceptions of intrusive ad interruption. Given the frequent exposure of Twitch users to in-stream video advertisements, this research aims to unlock the psychological mechanism of advertising acceptance on Twitch. Expanding the psychological reactance framework, the researchers have developed a comprehensive theoretical framework that examines the intricate interplay bet

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Marwah, Kamil Hussein, and Amintoosi Haleh. "Protection of images by combination of vernam stream cipher, AES and LSB steganography in a video clip." Bulletin of Electrical Engineering and Informatics 12, no. 3 (2023): 1578~1585. https://doi.org/10.11591/eei.v12i3.4039.

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Visual communication has become more popular in recent years, and because data must be transferred safely over a restricted bandwidth, techniques of data security and preservation, such as masking and encryption, have to be included after the optimization process for the image in question. The two most common methods of data protection are encryption and steganography. Steganography is a way for covering data that is hidden in another medium without leaving any proof of the data being changed, whereas cryptography converts regular data into incomprehensible data, which is known as scrambled da

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Prasad, Y. Durga. "Smart Video Feed and Stream Interact." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 2031–36. https://doi.org/10.22214/ijraset.2025.67739.

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In this day and age of digital learning, students commonly struggle with the ability to obtain instant engaged and providing them the answers to their questions with online video tutorials. This project offers a remedy as a web application “Smart Video Feed And Stream. Interactivity,” which seeks to overcome this. This integrates deep learning, ai bots, and natural language processing (NLP), the use PARSE — extracts meaningful keywords from uploaded videos, and lets users insert comments and answers to a database. The chatbot then gives instant answers to user queries during video playback. Wh

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Zhong, Xiuyu, and Zhongyi Luo. "Design Of Video Bitrate Analyzer Based On Swift." MATEC Web of Conferences 232 (2018): 02017. http://dx.doi.org/10.1051/matecconf/201823202017.

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Network video is very popular, users often upload video, Video site allows specific coded video to maintain the original specification at a certain peak rate, and then to add lower-level specifications to the code. At present, many analysis tools can only get the maximum rate of the whole video, and cannot get the rate map, nor support the new video format. This design proposes using the Swift language to display the video bitrate analysis data in different forms, FFmpeg/ffprobe applications is called to analyze video stream. The experimental results show that the design can get the informatio

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Nur Agung, Antonius Setyawan Sugeng, Monika Widyastuti Surtikanti, Erna Andriyanti, et al. "Emak-Emak Representation in Start-Up Ads: Verbal and Non-Verbal Analysis of Indonesian Moms." World Journal of English Language 15, no. 1 (2024): 180. http://dx.doi.org/10.5430/wjel.v15n1p180.

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Women stereotyping is always interesting to be discussed. This paper is concerned with verbal and non-verbal meanings to portray Indonesian moms, or Emak-Emak represented in two official videos of GoMart and GrabMart. This study owes the framework of Halliday’s transitivity system (2014) to analyse the verbal meaning and Kress & Leeuwen’s interpretation of visual grammar to analyse the non-verbal meanings. The outcome of the verbal analysis using transitivity shows that the procedures used by GrabMart and GoMart are focused differently. While GrabMart focuses more on the material process o

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Chen, Xin, and Xiang Rong Wu. "A Courseware Recording & Editing System Based on DirectShow." Applied Mechanics and Materials 311 (February 2013): 3–8. http://dx.doi.org/10.4028/www.scientific.net/amm.311.3.

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With the development of network technology, it’s a trend to put up a bridge between the teaching resources and the learners. The network courseware is the most important part in Distance Education. A courseware recording and editing system is presented in this article. Using the Visual C++ 6.0 as design platform, the multimedia courseware recorder and player in this system is developed by using DirectShow technique, and the multimedia courseware editor is developed by using non-linearity edit system DES (DirectShow Editing Services). The system realizes the “Multi-Stream-In-One” (integrated of

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Mahajan, Prof Kanchan. "Missing Person Identification System." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 3530–33. http://dx.doi.org/10.22214/ijraset.2021.37113.

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In the world, countless people are missing every day, including children, adolescents, psychological challenge, elderly people with Alzheimer’s, etc. they remain without a trace. These charges are missing and are being reviewed at the police station. Ngu using webcam technology compare the individual and the database available again to find these people. This program is designed to locate missing people. If missing The person is found in the Web video stream and sends the location of the lost person to the police station. After a missing person is found in a Web Video stream, send location Ema

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Winterbottom, Thomas, Sarah Xiao, Alistair McLean, and Noura Al Moubayed. "Bilinear pooling in video-QA: empirical challenges and motivational drift from neurological parallels." PeerJ Computer Science 8 (June 3, 2022): e974. http://dx.doi.org/10.7717/peerj-cs.974.

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Bilinear pooling (BLP) refers to a family of operations recently developed for fusing features from different modalities predominantly for visual question answering (VQA) models. Successive BLP techniques have yielded higher performance with lower computational expense, yet at the same time they have drifted further from the original motivational justification of bilinear models, instead becoming empirically motivated by task performance. Furthermore, despite significant success in text-image fusion in VQA, BLP has not yet gained such notoriety in video question answering (video-QA). Though BL

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Wang, Wen Ming, and Ya Peng Yu. "Robot Visual Design with the Panorama Synthesis Function with Manufacturing Technology." Applied Mechanics and Materials 312 (February 2013): 705–9. http://dx.doi.org/10.4028/www.scientific.net/amm.312.705.

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Panorama synthesis is basis of the target tracking. Through the synthesis of panorama, can enlarge the visual range to capture for the cameras, in the big background, the suspicious target which needs to be tracked are more easily detected, then selects the target, and Tracks it. In the existing target tracking of robot integrated machine, adds panorama synthesis function and the suspicious target selection function, the target tracking runs only on selected target, make the tracking more targeted. In the Panorama synthesis module of the present system, there are two ways to obtain video strea

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Yao, Li, and Miaogen Ling. "An Improved Mixture-of-Gaussians Background Model with Frame Difference and Blob Tracking in Video Stream." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/424050.

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Modeling background and segmenting moving objects are significant techniques for computer vision applications. Mixture-of-Gaussians (MoG) background model is commonly used in foreground extraction in video steam. However considering the case that the objects enter the scenery and stay for a while, the foreground extraction would fail as the objects stay still and gradually merge into the background. In this paper, we adopt a blob tracking method to cope with this situation. To construct the MoG model more quickly, we add frame difference method to the foreground extracted from MoG for very cro

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Spitzer, Michael, Ibrahim Nanic, and Martin Ebner. "Distance Learning and Assistance Using Smart Glasses." Education Sciences 8, no. 1 (2018): 21. http://dx.doi.org/10.3390/educsci8010021.

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With the everyday growth of technology, new possibilities arise to support activities of everyday life. In education and training, more and more digital learning materials are emerging, but there is still room for improvement. This research study describes the implementation of a smart glasses app and infrastructure to support distance learning with WebRTC. The instructor is connected to the learner by a video streaming session and gets the live video stream from the learner’s smart glasses from the learner’s point of view. Additionally, the instructor can draw on the video to add context-awar

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Tan, Zhihua, Sheng Gao, Shihai Wei, Jingyu Zhang, and Min Zhu. "Action Recognition of Basketball Players Based on Hybrid Attention Module and Spatial Feature Pyramid Module." Journal of Internet Technology 26, no. 2 (2025): 211–18. https://doi.org/10.70003/160792642025032602006.

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Watching basketball game videos is an important reference for coaches to analyze the team’s tactics. Detecting the athletes’ actions on the court in real time through an object detection algorithm can help coaches find team problems and formulate solutions. Aiming at the problems of fewer basketball players’ action detection datasets and the difficulty of action detection, this paper proposes a dataset of basketball players’ action detection, BPAD (basketball player action dataset), and an object detection algorithm, YOLOSS (YOLOv4 SimSE and SPPFCSPCG), in which the BPAD dataset consists of 2,

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Davidovich, Barak, Ben Nassi, and Yuval Elovici. "Towards the Detection of GPS Spoofing Attacks against Drones by Analyzing Camera’s Video Stream." Sensors 22, no. 7 (2022): 2608. http://dx.doi.org/10.3390/s22072608.

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A Global Positioning System (GPS) spoofing attack can be launched against any commercial GPS sensor in order to interfere with its navigation capabilities. These sensors are installed in a variety of devices and vehicles (e.g., cars, planes, cell phones, ships, UAVs, and more). In this study, we focus on micro UAVs (drones) for several reasons: (1) they are small and inexpensive, (2) they rely on a built-in camera, (3) they use GPS sensors, and (4) it is difficult to add external components to micro UAVs. We propose an innovative method, based on the video stream captured by a drone’s camera,

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Michkov, Pavel A. ""Ask Ada": about polymorphism of multimedia compositions." Vestnik of Saint Petersburg University. Arts 14, no. 4 (2024): 649–63. https://doi.org/10.21638/spbu15.2024.402.

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In the work of the modern Greek composer Yannis Kyriakides, the work "Ask Ada", written for a soloist, an ensemble of instrumentalists, a vocoder and synchronized with a video installation, occupies a special place. The plot centers on a female mathematician, the author of the first computer code in history, which she wrote for the difference machine of the famous inventor Charles Babbage more than a hundred years before the first programmable devices appeared. Ada's personality, which has become the object of close attention in the world of research on the history of computer technology and t

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Keshvani, Twinkle, Madhu Shukla, Meghnesh Jayswal, and Kishan Makadiya. "Improving Performance Parameters of Clusters Using Density-Based Algorithm." Applied and Computational Engineering 2, no. 1 (2023): 100–110. http://dx.doi.org/10.54254/2755-2721/2/20220605.

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With the advancement in technology, data generated by non-stationary in day-to-day life is massive, continuous and rapid. Many applications such as IoT, transaction systems, network sensors, video surveillance systems, and network intrusion detection systems generate a massive amount of real-time data. The data used in traditional data mining is static in nature, and it can be revised for processing and Analysis. While data in data stream mining is dynamic in nature and it never stops. Besides, the data generated may have a change imbibed in its characteristics over a long/short period of time

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Hidayat, Tonny. "Penerapan Teknologi Augmented Reality Sebagai Model Media Edukasi Kesehatan Gigi Bagi Anak." Creative Information Technology Journal 2, no. 1 (2015): 77. http://dx.doi.org/10.24076/citec.2014v2i1.39.

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Augmented Reality adalah sebuah teknologi yang relatif baru dan masih dikembangkan sampai saat ini. Konsepnya adalah menggabungkan dimensi dunia nyata dengan dimensi 'dunia nyata' yang termediasi, atau dunia virtual, untuk menciptakan kesan bahwa dimensi dunia nyata kita diperkaya dengan objek maya tiga dimensi. Hal ini dilakukan dengan cara 'menggambar' objek tiga dimensi pada marker, yakni sebuah 'pola' dalam bingkai segi empat yang bersifat unik dan dapat dikenali oleh aplikasinya. Aplikasi yang bersangkutan menerima input berupa video stream, yang berarti menggunakan input berupa citraan d

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Abramov, M. V,, and A. V. Averchenkov. "Improvement of mathematical methods for ensuring security based on real-time video sequence analysis." Proceedings of the Southwest State University 28, no. 3 (2024): 201–13. https://doi.org/10.21869/2223-1560-2024-28-3-201-213.

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Purpose of research. Currently, mathematical methods of video sequence analysis represent a structured set of approaches to image recognition based on the difference in the glow of different image areas. Many of these values are described using mathematical dependencies, however, existing approaches work only for standard images obtained during video data processing. The purpose of this study is to develop a new approach to analyzing images obtained, including those using terahertz radiation, which has specific characteristics, both physical and mathematical.Methods. The following theoretical

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Mukherjee, Rahul, and Abhigyan Singh. "Reconfiguring Mobile Media Assemblages: Download Cultures and Translocal Flows of Affective Platforms." Asiascape: Digital Asia 4, no. 3 (2017): 257–84. http://dx.doi.org/10.1163/22142312-12340080.

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Abstract Memory cards are flash memory devices that enable storage and circulation of music in audio and video formats. In some regions in Asia, the bandwidth to stream musical content is unavailable, and people go to ‘download vendors’, who add content to their memory cards. We investigate regional standards/formats that allow Chinese dvd players to be sold in India and North Korea that can play not only vcds/dvds but also memory cards. Contemporary platform discourse disproportionately studies algorithm and-interface-based online platforms that support streaming cultures. We explore offline

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G, Premalatha. "An Efficient Implementation of FPGA Based Face Detection and Face Recognition System Using haar Classifiers." International Journal of Computer Science and Engineering Communications 1, no. 1 (2013): 30–36. https://doi.org/10.5281/zenodo.821746.

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This paper introduces a novel technique to detect faces similarly recognizes in real-time with very high rate. It is essentially a feature-based approach, in which a classifier is trained for Haar-like rectangular features selected by Ada Boost algorithm and efficient representation method histogram equalization is used for varying illumination in the image. The face detection system generates an integral image window to perform a Haar feature classification during one clock cycle. And then it performs classification operations in parallel using Haar classifiers to detect a face in the image s

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Shostko, Ihor, Oleksandr Shloma, and Dmytro Tsybulnykov. "The method of setting up and controlling the operation modes of optical-electronic stations wireless sensor network using LoRa technology." Problemi telekomunìkacìj, no. 1(30) (October 27, 2022): 32–56. http://dx.doi.org/10.30837/pt.2022.1.03.

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A method of managing a wireless sensor network of optical-electronic stations (OES) using LoRa technology is developed. Within the framework of the system of optic-electronic stations, two subnets are functioning: the video stream transmission network and the control network, which is the subject of this work. The main requirements for the control network were the following: the ability to ensure performance in radio-electronic suppression conditions, the provision of high-range radio communication, the ability to operate in conditions of dense urban development, the network energy efficiency,

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Cioppa, Anthony, Marc Braham, and Marc Van Droogenbroeck. "Asynchronous Semantic Background Subtraction." Journal of Imaging 6, no. 6 (2020): 50. http://dx.doi.org/10.3390/jimaging6060050.

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The method of Semantic Background Subtraction (SBS), which combines semantic segmentation and background subtraction, has recently emerged for the task of segmenting moving objects in video sequences. While SBS has been shown to improve background subtraction, a major difficulty is that it combines two streams generated at different frame rates. This results in SBS operating at the slowest frame rate of the two streams, usually being the one of the semantic segmentation algorithm. We present a method, referred to as “Asynchronous Semantic Background Subtraction” (ASBS), able to combine a seman

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Merz, Redaktion. "Self-Tracking-Tool: iOn SnapCam." merz | medien + erziehung 61, no. 5 (2017): 11. https://doi.org/10.21240/merz/2017.5.8.

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Sportaktivitäten, der Weg zur Arbeit oder ein lustiger Abend mit dem Freundeskreis – diese HD-Minikamera hebt Lifelogging auf die nächste Stufe. Die iOn SnapCam kann problemlos über einen Magneten oder Clip an der Kleidung getragen werden. Sie dokumentiert die Erlebnisse des Alltags und herausragende Momente aus der Point-of-View-Perspektive und bietet dabei eine überraschend hohe Bildqualität sowie eine benutzerfreundliche Bedienung. Über ein, zwei oder drei Berührungen des Touchpads können wahlweise Fotos, Videos oder Live-Streams erstellt werden. Die Berührungen werden auch in Bewegung gut

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Boschee, Pam. "Comments: Our Thanks and Best Wishes to You." Journal of Petroleum Technology 74, no. 12 (2022): 8–9. http://dx.doi.org/10.2118/1222-0008-jpt.

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As we wrap up 2022, I’d like to take this opportunity to thank you for your feedback and continued commitment to the JPT editorial team as we research and write our online and monthly articles, all exclusive to JPT. Your presentations at SPE conferences, technical papers, interviews, and contributed articles are what make this content the best in the industry. A special thank you goes to our Editorial Review Board. Here’s a sampling of JPT’s most-viewed features in 2022. - Think You Know Where Proppant Goes During Fracturing? Based on Recent Testing: Don’t Bet on It - Drillers vs. Granite: Har

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Gerbracht, Jeff. "COSA: Cloud Object Storage Archive for deep archival of digital data." Biodiversity Information Science and Standards 2 (May 22, 2018): e25811. http://dx.doi.org/10.3897/biss.2.25811.

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The Cornell Lab of Ornithology gathers, utilizes and archives a wide variety of digital assets ranging from details of a bird observation to photos, video and sound recordings. Some of these datasets are fairly small, while others are hundreds of terabytes. In this presentation we will describe how the Lab archives these datasets to ensure the data are both loss-less and recoverable in the case of a widespread disaster, how the archival strategy has evolved over the years and explore in detail the current hybrid cloud storage management system. The Lab runs eBird and several other citizen scie

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Gerbracht, Jeff. "COSA: Cloud Object Storage Archive for deep archival of digital data." Biodiversity Information Science and Standards 2 (May 22, 2018): e25811. https://doi.org/10.3897/biss.2.25811.

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The Cornell Lab of Ornithology gathers, utilizes and archives a wide variety of digital assets ranging from details of a bird observation to photos, video and sound recordings. Some of these datasets are fairly small, while others are hundreds of terabytes. In this presentation we will describe how the Lab archives these datasets to ensure the data are both loss-less and recoverable in the case of a widespread disaster, how the archival strategy has evolved over the years and explore in detail the current hybrid cloud storage management system. The Lab runs eBird and several other citizen scie

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Al-Madadha, Amro, Mohammad Hamdi Al Khasawneh, Ola Al Haddid, and Ahmad Samed Al-Adwan. "Adoption of Telecommuting in the Banking Industry: A Technology Acceptance Model Approach." Interdisciplinary Journal of Information, Knowledge, and Management 17 (2022): 443–70. http://dx.doi.org/10.28945/5023.

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Aim/Purpose: Currently, the world faces unprecedented challenges due to COVID-19, particularly concerning individuals’ health and livelihood and organizations and industrial performance. Indeed, the pandemic has caused rapid intensifying socio-economic effects. For instance, organizations are shifting from traditional working patterns toward telecommuting. By adopting remote working, organizations might mitigate the impact of COVID-19 on their workforce, explicitly concerning their safety, wellbeing, mobility, work-life balance, and self-efficiency. From this perceptive, this study examines th

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S M, Mithun Lakshman, and Vijayakumar J. "Interconnecting Both Advertiser and Influencer Together in a Software Application for Advertising – (Adsow360 – Best Way for Advertising)." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 04 (2023). http://dx.doi.org/10.55041/ijsrem18975.

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This is a software application (APP). In this app we are interconnecting both advertisers and influencers together. So instead of paying high amounts to YouTube/Facebook companies, they pay only less to influencers for advertising. Our app provides a list of advertiser’s & all different categories of advertiser and make conversations with each other for paid promotions influencer’s), so they can easily choose their influencer &. The ads will be in the form of Non-Skippable In-Stream Ads. These ads are shown before, during, or after a video and cannot be skipped. This app is operational

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Trehan, Gautam. "study on viewer’s behaviour towards skippable you tube advertisement." International journal of health sciences, April 29, 2022. http://dx.doi.org/10.53730/ijhs.v6ns1.6740.

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Social media have become an important platform for companies to connect with their target audience and make an impression. With the rise of digital platforms, effectiveness of advertisements has become an important area of study for marketers to determine the most efficient and appropriate medium of communication to place their advertisements. At first, advertising techniques were created for traditional media and explained by fundamental marketing theories. Due to the rapid growth of technologies, chronic advertising channels are switching broadcast direction to the Internet. Nowadays, signif

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Ljubojević, Miloš, Vojkan Vasković, Zdenka Babić, and Dušan Starčević. "Influence of Resolution and Frame Rate on the Linear In-Stream Video Ad QoE." JITA - Journal of Information Technology and Applications (Banja Luka) - APEIRON 7, no. 1 (2014). http://dx.doi.org/10.7251/jit1401015lj.

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Abstract: An increasing number of services and facilities that are of interest to users is based on video streaming. Technical characteristics of video have a strong impact on the quality of a video streaming service and its perception by users. The most important measure of quality, which focuses on the user, is the Quality of Experience (QoE). Given that video advertising is a typical video streaming application, it is necessary to analyze the effect of the change of video characteristics on the QoE. This paper examines the impact of resolution and frame rate change on the QoE level by using

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Choi, Dongwon, and Jooyoung Kim. "The impacts of ad skip option and ad time display on viewer response to in-stream video ads: the role of perceived control and reactance." Internet Research, November 1, 2021. http://dx.doi.org/10.1108/intr-09-2020-0514.

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Purpose The primary purpose of the current study was to examine how the presence of two digital ad features – an ad skip option and an ad time display, representing behavioral and cognitive control, respectively – might influence viewer response to in-stream video ads in terms of perceived control, reactance and advertising outcomes. Design/methodology/approach A 2 (Ad skip option: presence vs. absence) × 2 (Ad time display: presence vs absence) between-subjects experiment was conducted online with 217 participants recruited via Qualtrics. Findings The results of the online experiment show tha

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Xiao, Li, D. J. Wu, and Min Ding. "A Smart Ad Display System." Information Systems Research, February 9, 2024. http://dx.doi.org/10.1287/isre.2020.0128.

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This paper proposes a smart ad display system to provide personalized delivery of video ads. The proposed system records consumers’ facial expression and eye gaze stream data as they watch an ad and analyzes data at the frame level. The recognized facial expression and detected eye gaze are matched to the corresponding frame of the video ad, thereby linking facial expressions to specific visual objects appearing in the ad. By tracking a consumer’s facial expressions in response to various visual objects in real time, the system learns the consumer’s individual preferences toward different ads,

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Burwell, Catherine. "New(s) Readers: Multimodal Meaning-Making in AJ+ Captioned Video." M/C Journal 20, no. 3 (2017). http://dx.doi.org/10.5204/mcj.1241.

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IntroductionIn 2013, Facebook introduced autoplay video into its newsfeed. In order not to produce sound disruptive to hearing users, videos were muted until a user clicked on them to enable audio. This move, recognised as a competitive response to the popularity of video-sharing sites like YouTube, has generated significant changes to the aesthetics, form, and modalities of online video. Many video producers have incorporated captions into their videos as a means of attracting and maintaining user attention. Of course, captions are not simply a replacement or translation of sound, but have in

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Faus, Ashley. "Move fast, save money, increase engagement: Why live video should be in every marketer’s toolkit." Journal of Brand Strategy, March 1, 2019. http://dx.doi.org/10.69554/pryi3911.

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Periscope came online and fundamentally changed the world of video marketing. Now, long-form live streaming like Facebook Live and YouTube live-stream capabilities have been rolled out. Short-form live videos are available on Instagram, and more platforms add live or native video capabilities every quarter! How do you utilise live-stream broadcasts to connect with your community? What are the pros and cons of choosing a live-streaming app over a traditional video, webinar or podcast? What kinds of stories can you tell with these new platforms? In this paper you will see examples of live-stream

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Man, Xin, Jie Shao, Feiyu Chen, Mingxing Zhang, and Heng Tao Shen. "TEVL: Trilinear Encoder for Video-Language Representation Learning." ACM Transactions on Multimedia Computing, Communications, and Applications, February 24, 2023. http://dx.doi.org/10.1145/3585388.

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Pre-training model on large-scale unlabeled web videos followed by task-specific fine-tuning is a canonical approach to learning video and language representations. However, the accompanying Automatic Speech Recognition (ASR) transcripts in these videos are directly transcribed from audio, which may be inconsistent with visual information and would impair the language modeling ability of the model. Meanwhile, previous V-L models fuse visual and language modality features using single- or dual-stream architectures, which are not suitable for the current situation. Besides, traditional V-L resea

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N, Prof Yogesh. "Real Time Object Detection using Deep Learning and SSD Algorithm." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 09 (2023). http://dx.doi.org/10.55041/ijsrem25560.

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Real time object detection is a complex area of computer vision, vast and vibrant. If there is a single object to be detected in an image, it is known as Image Localization and if there are multiple objects in an image, then it is Object Detection. Real time object identification to find and recognize real objects such as cars, bicycles, TV, flowers and people from pictures or videos. Object identification technique allows you to find out image or video details, as it allows detection, localization and multiple detection Objects in pictures or videos. Identifying objects in a video or image st

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Linderoth, Gitte, Oscar Rosenkrantz, Freddy Lippert, et al. "Abstract 11939: Can Live Video Streaming From Bystander's Smartphone Improve the Quality of Chest Compressions in Real Out-of-Hospital Cardiac Arrest?" Circulation 144, Suppl_2 (2021). http://dx.doi.org/10.1161/circ.144.suppl_2.11939.

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Introduction: Good quality of cardiopulmonary resuscitation (CPR) provided by bystanders is important for the outcome in out-of-hospital cardiac arrest (OHCA). A live video stream from the bystander’s smartphone to the medical dispatcher might improve the quality of chest compressions performed during CPR. Methods: At the Copenhagen Emergency Medical Services in Denmark, the medical dispatcher can add a live video to the emergency call. In case of OHCA, the medical dispatcher guides bystanders in dispatcher-assisted CPR (DA-CPR). After initiating chest compressions, the medical dispatcher can

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Pakfiliz, Ahmet Güngör. "A New Method for Surface-to-Air Video Detection and Tracking of Airborne Vehicles." International Journal of Pattern Recognition and Artificial Intelligence 36, no. 01 (2022). http://dx.doi.org/10.1142/s0218001422550011.

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Detection process of airborne targets may be thought simple because of the incompatible nature of aircraft, choppers, UAVs, and drones regarding clear sky background. When changes in the background are considered, brightness variation of the sky complicates the process. Changes in the shapes and types of clouds add another challenge to the process. Tracking process directly depends on the detection process and type of the data stream. The practical systems used for video detection and tracking of airborne targets are manual, and manual structures have some drawbacks compared to automatic struc

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T., Kusuma, and Ashwini K. "Real Time Object Tracking in H.264/ AVC Using Polar Vector Median and Block Coding Modes." International Journal of Information, Control and Computer Sciences 11.0, no. 11 (2018). https://doi.org/10.5281/zenodo.2021717.

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This paper presents a real time video surveillance system which is capable of tracking multiple real time objects using Polar Vector Median (PVM) and Block Coding Modes (BCM) with Global Motion Compensation (GMC). This strategy works in the packed area and furthermore utilizes the movement vectors and BCM from the compressed bit stream to perform real time object tracking. We propose to do this in view of the neighboring Motion Vectors (MVs) using a method called PVM. Since GM adds to the object’s native motion, for accurate tracking, it is important to remove GM from the MV field prior

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Rizal, Muhammad, and Mursyidah Mursyidah. "Website Video Streaming Film Animasi 2d “Aku Untuk Negeri”." Journal of Artificial Intelligence and Software Engineering (J-AISE) 1, no. 2 (2021). http://dx.doi.org/10.30811/jaise.v1i2.2521.

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AbstrakWebsite video streaming ini terdapat proses komunikasi data pada jaringan, seiring berkembangnya data yang ada pada jaringan komputer antara lain adalah video dan audio yang sudah menjadi kebutuhan banyak pengguna. Sebagaimana diketahui data video dan audio ini memiliki ukuran atau kapasitas data yang lebih besar jika dibandingkan dengan data gambar dan teks. Oleh karena itu, kinerja yang didapatkan oleh jaringan menjadi semakin berat, karena membutuhkan bandwidth yang lebih besar lagi. Adanya pertambahan kapasitas bandwidth ini bertambah juga fitur yang muncul dengan penggunaan bandwid

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Yuan, Xiuhuan, Hua Han, and Li Huang. "Association Loss and Self-Discovery Cross-Camera Anchors Detection for Unsupervised Video-Based Person Re-Identification." International Journal of Pattern Recognition and Artificial Intelligence 35, no. 14 (2021). http://dx.doi.org/10.1142/s0218001421500403.

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With the continuous improvement and development of cameras network, surveillance video has become the data source of the column stream, which greatly promotes the development of cross-camera person re-identification (Re-ID). However, supervised learning requires a lot of effort to manually label cross-cameras pairwise training data, which is lack of scalability and practical in actual video surveillance because there is a lack of well-labeled pairs of positive and negative samples under each camera. For addressing these negative effects, we set judgment conditions by using the association rank

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Hameed, Samer Qahtan, Tam Sakirin, and Yahya Hakami. "Integration and development of learning management features into the Colums platform." Mesopotamian Journal of Computer Science, January 15, 2021, 7–13. http://dx.doi.org/10.58496/mjcsc/2021/002.

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Due to the increasing use of computerized information systems in higher and further education for both administrative (Human Resources, Finance, Student Records) and instructional (Teaching, Learning, and Research) purposes, the challenge of systems integration has emerged like Virtual Learning Environments, electronic resource discovery tools, etc. COLUMS is a comprehensive and deeply integrated software product for large, medium, and small educational institutions that automates data stream and can be thought of as an Organization Wide Computing Package. The concept of COLUMS is to interconn

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Hollier, Scott, Katie M. Ellis, and Mike Kent. "User-Generated Captions: From Hackers, to the Disability Digerati, to Fansubbers." M/C Journal 20, no. 3 (2017). http://dx.doi.org/10.5204/mcj.1259.

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Writing in the American Annals of the Deaf in 1931, Emil S. Ladner Jr, a Deaf high school student, predicted the invention of words on screen to facilitate access to “talkies”. He anticipated:Perhaps, in time, an invention will be perfected that will enable the deaf to hear the “talkies”, or an invention which will throw the words spoken directly under the screen as well as being spoken at the same time. (Ladner, cited in Downey Closed Captioning)This invention would eventually come to pass and be known as captions. Captions as we know them today have become widely available because of a compl

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Yanzi, Miao, Wang Xiaolin, Zhang Yuanhao, Ji Liang, Wang Yizhou, and Xu Zhiyang. "FAOF: a feature aggregation method based on optical flow for gangue detection on production environment." Assembly Automation, June 28, 2022. http://dx.doi.org/10.1108/aa-03-2022-0033.

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Purpose The purpose of this paper is to improve the precision of gangue detection. In the real production environment, some gangue features are not obvious, and it is difficult to distinguish between coal and gangue. The color of the conveyor belt is similar to the gangue, the background noise also brings challenge to gangue detection. To address the above problems, we propose a feature aggregation method based on optical flow (FAOF). Design/methodology/approach An FAOF is proposed. First, to enhance the feature representation of the current frame, FAOF applies the timing information of video

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Bozzi, Natalee B., Aaron J. Wirsing, Clint W. Robins, Casey J. Sowers, and Thomas P. Quinn. "Foraging tactics and success rates of brown bears preying on sockeye salmon in small streams." Journal of Mammalogy, June 12, 2025. https://doi.org/10.1093/jmammal/gyaf038.

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Abstract Studies of foraging where focal animals are easily observed may miss common behaviors expressed under more cryptic conditions. For example, much of what is known about brown bears (Ursus arctos) foraging on Pacific salmon (Oncorhynchus spp.) comes from a few anomalous locations where bears congregate, leaving open the question of how bears exploit salmon in the small streams where most predation occurs. Here, we used motion-activated video recordings to study the use and success of foraging tactics of Alaskan brown bears preying on Sockeye Salmon (O. nerka) in 6 small streams over 3 s

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