Relevant bibliographies by topics / Video streaming applications

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Video streaming applications'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Video streaming applications"

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Hero, Wintolo, Kusumaningrum Anggraini, and Widya Kusuma Handoko. "Use of Automation Codecs Streaming Video Applications Based on Cloud Computing." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 3 (2017): 1409–15. https://doi.org/10.12928/TELKOMNIKA.v15i3.2810.

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Streaming technology is currently experiencing a great progress. Faster internet more users streaming. Streaming services that exist today there are still weaknesses in both the upload speed, streaming speed and limited types of video extensions that can be played. To resolve these problems then made a video streaming service based local area network with a system of cloud computing that can work effectively in terms of upload speeds, streaming and variations in video formats. Video streaming application is classified as a service IaaS (Infrastructure as a Service Cloud) in cloud computing. On
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Gazdar, Achraf, Lotfi Hidri, Belgacem Ben Youssef, and Meriam Kefi. "Minimizing the In-Cloud Bandwidth for On-Demand Reactive and Proactive Streaming Applications." Applied Sciences 11, no. 23 (2021): 11267. http://dx.doi.org/10.3390/app112311267.

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Video streaming services are one of the most resource-consuming applications on the Internet. Thus, minimizing the consumed resources at runtime in general and the server/network bandwidth in particular are still challenging for researchers. Currently, most streaming techniques used on the Internet open one stream per client request, which makes the consumed bandwidth increases linearly. Hence, many broadcasting/streaming protocols have been proposed in the literature to minimize the streaming bandwidth. These protocols can be divided into two main categories, namely, reactive and proactive br
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Sharmila, K., and M. Vijayaraj. "Robust Diffusion of Video Using Streaming Urban Video in VANET’S." Asian Journal of Computer Science and Technology 1, no. 1 (2012): 135–38. http://dx.doi.org/10.51983/ajcst-2012.1.1.1690.

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Vehicular ad hoc network is not efficient to support the transformation process of multimedia streaming. Broadcast and Multicast in adhoc network facing the problem of highly dynamic topology of Vehicular network and the strict delay requirements of streaming application. Inter vehicular communications called Streaming Urban Video, which is fully distributed and dynamically adapts to topology changes, and leverages the characteristics of streaming applications to yield a highly efficient, cross-layer solution.
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Pao, I. M., and Ming-Ting Sun. "Encoding stored video for streaming applications." IEEE Transactions on Circuits and Systems for Video Technology 11, no. 2 (2001): 199–209. http://dx.doi.org/10.1109/76.905985.

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Huang, Chenn-Jung, Hao-Wen Cheng, Yi-Hung Lien, and Mei-En Jian. "A Survey on Video Streaming for Next-Generation Vehicular Networks." Electronics 13, no. 3 (2024): 649. http://dx.doi.org/10.3390/electronics13030649.

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As assisted driving technology advances and vehicle entertainment systems rapidly develop, future vehicles will become mobile cinemas, where passengers can use various multimedia applications in the car. In recent years, the progress in multimedia technology has given rise to immersive video experiences. In addition to conventional 2D videos, 360° videos are gaining popularity, and volumetric videos, which can offer users a better immersive experience, have been discussed. However, these applications place high demands on network capabilities, leading to a dependence on next-generation wireles
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PAWAR, RAVI, and DR RAVI SHANKAR SHARMA. "Facial Recognition Using Video Streaming." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 11 (2024): 1–7. http://dx.doi.org/10.55041/ijsrem39128.

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Facial recognition has become an essential technology in numerous applications, including security, surveillance, and human-computer interaction. With the advent of real-time video streaming, facial recognition systems are now tasked with handling the continuous flow of visual data. This paper explores the integration of facial recognition algorithms into video streaming systems, investigating the challenges, methodologies, and applications of real-time face detection and identification. We present a framework for implementing facial recognition in live video streams, assess the performance of
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Ratnawati, Ratnawati, Rosmiaty Rosmiaty, Lusy Angraeni, Andi Muhammad Fikri, and Yuriatson Yuriatson. "The Influence of 'Ome TV': Exploring the Impact on Students' Listening Skills through Video Live Streaming." Tamaddun 22, no. 1 (2023): 75–84. http://dx.doi.org/10.33096/tamaddun.v22i1.310.

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This quantitative research study investigates the influence of the video live streaming application 'Ome TV' on students' listening skills. Undergraduate students from a vocational university in Makassar, Indonesia participated in the study, which utilized an online questionnaire to collect data on participants' listening abilities and their experiences with 'Ome TV'. The study aims to investigate the influence of 'Ome TV' on students' listening skills, identify challenges faced by students in using the application for listening practice, understand students' perceptions of the application's e
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Abdulazeez, Hiba K., and Nasser N. Khamiss. "AN EFFICIENT ADAPTATION OF UHD VIDEO STREAMING OVER INTERNET." Iraqi Journal of Information and Communications Technology 1, no. 1 (2021): 121–33. http://dx.doi.org/10.31987/ijict.1.1.154.

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The main challenge of multimedia applications is how to transmission the Ultra-High Definition (UHD) video streaming in real time over the internet. The real time video streaming suffer from difficulties to be flexible and efficiency cause the wide variation of the available internet bandwidth. To avoid the problems that introduces with internet, in this work the HEVC with required video network adaptive streaming are proposed and tested using different six levels of three UHD video (4K, FHD, 720p, 4CIF, CIF and QCIF). From different experiments that applied find the optimal configuration of H
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.M, Resmi A., and R. Manicka Chezian. "Lightweight Authentication Scheme for Live Video Streaming Security." International Journal of Emerging Research in Management and Technology 6, no. 7 (2018): 93. http://dx.doi.org/10.23956/ijermt.v6i7.191.

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The majority of the traffic in the internet is dedicated to video streaming and its applications. Content Network Networks are good enough in live video streaming. But, implementing live video streaming is not an easy task. Delivery of live video streams can be complicated because of the variety of platforms, network types and streaming formats competing in today's online media services. Every user’s expecting reliable high quality performance with data availability using heterogeneous choices. And it is now tougher than ever to ensure an agreeable, problem less viewing experience on live stre
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Oliveira, Eva, Teresa Chambel, and Nuno Magalhães Ribeiro. "Sharing Video Emotional Information in the Web." International Journal of Web Portals 5, no. 3 (2013): 19–39. http://dx.doi.org/10.4018/ijwp.2013070102.

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Video growth over the Internet changed the way users search, browse and view video content. Watching movies over the Internet is increasing and becoming a pastime. The possibility of streaming Internet content to TV, advances in video compression techniques and video streaming have turned this recent modality of watching movies easy and doable. Web portals as a worldwide mean of multimedia data access need to have their contents properly classified in order to meet users’ needs and expectations. The authors propose a set of semantic descriptors based on both user physiological signals, capture
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Dissertations / Theses on the topic "Video streaming applications"

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Muzaffar, Raheeb. "Routing and video streaming in drone networks." Thesis, Queen Mary, University of London, 2017. http://qmro.qmul.ac.uk/xmlui/handle/123456789/24713.

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Drones can be used for several civil applications including search and rescue, coverage, and aerial imaging. Newer applications like construction and delivery of goods are also emerging. Performing tasks as a team of drones is often beneficial but requires coordination through communication. In this thesis, the communication requirements of video streaming drone applications based on existing works are studied. The existing communication technologies are then analyzed to understand if the communication requirements posed by these drone applications can be met by the available technologies. The
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Bansal, Deepak 1978. "Congestion control for streaming video and audio applications." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86577.

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Deng, Jie. "Profiling large-scale live video streaming and distributed applications." Thesis, Queen Mary, University of London, 2018. http://qmro.qmul.ac.uk/xmlui/handle/123456789/43948.

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Today, distributed applications run at data centre and Internet scales, from intensive data analysis, such as MapReduce; to the dynamic demands of a worldwide audience, such as YouTube. The network is essential to these applications at both scales. To provide adequate support, we must understand the full requirements of the applications, which are revealed by the workloads. In this thesis, we study distributed system applications at different scales to enrich this understanding. Large-scale Internet applications have been studied for years, such as social networking service (SNS), video on dem
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Westerlund, Johan. "Forward Error Correction in Real-time Video Streaming Applications." Thesis, Umeå universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-99644.

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The Internet is rapidly becoming the dominant platform for video contribution and distribution, but today’s Internet provides a best-effort service without any guarantee of quality. Internet video streaming has to cope with this lack of guarantees. Due to congestion and the heterogeneous infrastructure of the Internet a video transmission will be plagued by packet loss, variability in throughput, and latency. To mitigate some of these these problems f.o.r.w.a.r.d e.r.r.o.r c.o.r.r.e.c.t.i.o.n (F.E.C) can be employed. The aim of this thesis is to present a theoretical introduction to error corr
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Potetsianakis, Emmanouil. "Enhancing video applications through timed metadata." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLT029.

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Les dispositifs d'enregistrement vidéo sont souvent équipés de capteurs (smartphones par exemple, avec récepteur GPS, gyroscope, etc.) ou utilisés dans des systèmes où des capteurs sont présents (par exemple, caméras de surveillance, zones avec capteurs de température et/ou d'humidité). Par conséquent, de nombreux systèmes traitent et distribuent la vidéo avec des flux de métadonnées temporels, souvent sous forme de contenu généré par l'utilisateur (UGC). La diffusion vidéo a fait l'objet d'études approfondies, mais les flux de métadonnées ont des caractéristiques et des formes différentes, et
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Guo, Meng. "Supporting Scalable and Resilient Video Streaming Applications in Evolving Networks." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7468.

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While the demand for video streaming services has risen rapidly in recent years, supporting video streaming service to a large number of receivers still remains a challenging task. Issues of video streaming in the Internet, such as scalability, and reliability are still under extensive research. Recently proposed network contexts such as overlay networks, and mobile ad hoc networks pose even tougher challenges. This thesis focuses on supporting scalable video streaming applications under various network environments. More specifically, this thesis investigates the following problems: i) Serve
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Bakthavachalu, Sivakumar. "SF-SACK a smooth friendly TCP protocol for streaming multimedia applications /." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000608.

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Tsoi, Yiu-lun Kelvin, and 蔡耀倫. "Real-time scheduling techniques with QoS support and their applications in packet video transmission." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31221786.

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Pavlick, Bay. "A fuzzy logic based controller to provide end-to-end congestion control for streaming media applications." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001253.

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Jero, Samuel C. "Performance Analysis of the Datagram Congestion Control Protocol DCCP for Real-Time Streaming Media Applications." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1374854584.

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Books on the topic "Video streaming applications"

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Ferrate, Andres. Building web apps for Google TV. O'Reilly Media, 2011.

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Chung, Jong-Moon. Emerging Metaverse XR and Video Multimedia Technologies: Modern Streaming and Multimedia Systems and Applications. Apress L. P., 2022.

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Mellouk, Abdelhamid, and Muhammad Sajid Mushtaq. Quality of Experience Paradigm in Multimedia Services: Application to OTT Video Streaming and VoIP Services. Elsevier, 2017.

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Mellouk, Abdelhamid, and Muhammad Sajid Mushtaq. Quality of Experience Paradigm in Multimedia Services: Application to OTT Video Streaming and VoIP Services. Elsevier, 2017.

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Ferrate, Andres, Amanda Surya, Daniels Lee, Maile Ohye, and Paul Carff. Building Web Apps for Google TV. O'Reilly Media, Incorporated, 2011.

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Ferrate, Andres, Amanda Surya, Daniels Lee, Maile Ohye, and Paul Carff. Building Web Apps for Google TV. O'Reilly Media, Incorporated, 2011.

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Book chapters on the topic "Video streaming applications"

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Mighela, Francesca, Cristian Perra, and Massimo Vanzi. "Video Streaming in Electron Microscopy Applications." In Visual Content Processing and Representation. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11738695_16.

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Gatica-Perez, Daniel, Zhi Zhou, Sun Ming-Ting, and Vincent Hsu. "Video Object Hyper-Links for Streaming Applications." In Recent Advances in Visual Information Systems. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45925-1_21.

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Cerqueira, Eduardo, Lucjan Janowski, Mikołaj Leszczuk, Zdzisław Papir, and Piotr Romaniak. "Video Artifacts Assessment for Live Mobile Streaming Applications." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02472-6_26.

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Banelas, Dimitrios, and Euripides G. M. Petrakis. "MotionInsights: Object Tracking in Streaming Video with Apache Flink." In Advanced Information Networking and Applications. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57840-3_37.

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Marri, Satyanarayana Reddy, and P. Chenna Reddy. "A Survey on Streaming Adaptation Techniques for QoS and QoE in Real-Time Video Streaming." In Smart Computing Techniques and Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0878-0_45.

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Shi, Jiahui, Hongbin Ma, Jialiang Zhao, and Yunxuan Liu. "Web-Based Human Robot Interaction via Live Video Streaming and Voice." In Intelligent Robotics and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65289-4_38.

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Zhang, Wei, and Chris Challis. "Automatic Identification of Account Sharing for Video Streaming Services." In Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55789-8_15.

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Remy, Guillaume F., and Hassan B. Kazemian. "Application of Neural Fuzzy Controller for Streaming Video over IEEE 802.15.1." In Engineering Applications of Neural Networks. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03969-0_39.

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Seedorf, Jan. "Security Issues for P2P-Based Voice- and Video-Streaming Applications." In iNetSec 2009 – Open Research Problems in Network Security. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05437-2_10.

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Susanto, Hengky, ByungGuk Kim, and Benyuan Liu. "User Experience Awareness Network Optimization for Video Streaming Based Applications." In Advances in Computer Communications and Networks From Green, Mobile, Pervasive Networking to Big Data Computing. River Publishers, 2022. http://dx.doi.org/10.1201/9781003337096-19.

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Conference papers on the topic "Video streaming applications"

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Feng, Chen, Duolikun Danier, Fan Zhang, Alex Mackin, Andrew Collins, and David Bull. "MVAD: A Multiple Visual Artifact Detector for Video Streaming." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. https://doi.org/10.1109/wacv61041.2025.00311.

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Darwich, Mahmoud, Kasem Khalil, and Magdy Bayoumi. "Smart Streaming: Deep Learning Applications in Video Streaming Optimization." In SoutheastCon 2024. IEEE, 2024. http://dx.doi.org/10.1109/southeastcon52093.2024.10500209.

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Wang, Zhou, Kai Zeng, Abdul Rehman, Hojatollah Yeganeh, and Shiqi Wang. "Objective video presentation QoE predictor for smart adaptive video streaming." In SPIE Optical Engineering + Applications, edited by Andrew G. Tescher. SPIE, 2015. http://dx.doi.org/10.1117/12.2187740.

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Lloret, Joshua, Robyn McCue, and Jie Wu. "WeSeeYou: Adapting Video Streaming for Surveillance Applications." In 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2015. http://dx.doi.org/10.1109/mass.2015.65.

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Winkler, Stefan, and Ruth Campos. "Video quality evaluation for Internet streaming applications." In Electronic Imaging 2003, edited by Bernice E. Rogowitz and Thrasyvoulos N. Pappas. SPIE, 2003. http://dx.doi.org/10.1117/12.477766.

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Ramadan, Eman, Arvind Narayanan, Udhaya Kumar Dayalan, Rostand A. K. Fezeu, Feng Qian, and Zhi-Li Zhang. "Case for 5G-aware video streaming applications." In SIGCOMM '21: ACM SIGCOMM 2021 Conference. ACM, 2021. http://dx.doi.org/10.1145/3472771.3474036.

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Winkler, Stefan, and Frederic Dufaux. "Video quality evaluation for mobile streaming applications." In Visual Communications and Image Processing 2003, edited by Touradj Ebrahimi and Thomas Sikora. SPIE, 2003. http://dx.doi.org/10.1117/12.509910.

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Chen-Lung Chan, Shih-Yu Huang, and Jia-Shung Wang. "Cooperative cache framework for video streaming applications." In 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698). IEEE, 2003. http://dx.doi.org/10.1109/icme.2003.1221616.

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Gudumasu, Srinivas, Yuwen He, Yan Ye, and Xiaoyu Xiu. "Video streaming with SHVC to HEVC transcoding." In SPIE Optical Engineering + Applications, edited by Andrew G. Tescher. SPIE, 2015. http://dx.doi.org/10.1117/12.2186866.

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McNamee, Joshua, Jonathan Hatchett, Kurt Debattista, and Alan Chalmers. "Live HDR video streaming on commodity hardware." In SPIE Optical Engineering + Applications, edited by Andrew G. Tescher. SPIE, 2015. http://dx.doi.org/10.1117/12.2187457.

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Reports on the topic "Video streaming applications"

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Campbell, Heidi A., Jennifer Daly, Sophia A. Osteen, and Andrea Wallace. Mission to Serve Tech: Churches "Lock Down" Technology During The Global Pandemic. The Network For New Media, Religion & Digital Culture Studies, 2023. http://dx.doi.org/10.21423/oak/1969.1/197075.

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This report analyzes data collected from 2700 churches of the Center for Congregations in Indianapolis through the Connect Through Tech grant program between 2020-2021. This report analyzes data gathered from applications to the CTT grant and final reports submitted by these churches, in order to learn how churches understand and perceive the role of churches, technology, and their relationship changed during the first two years of the pandemic as they incorporated digital media into their ministry work. The “Mission to Serve Tech” report explores three key themes: (1) how leaders understandin
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