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Artykuły w czasopismach na temat "Adaptive bitrate Algorithm"

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Jabbar, Saba Qasim, and Dheyaa Jasim Kadhim. "A Proposed Adaptive Bitrate Scheme Based on Bandwidth Prediction Algorithm for Smoothly Video Streaming." Journal of Engineering 27, no. 1 (2021): 112–29. http://dx.doi.org/10.31026/j.eng.2021.01.08.

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A robust video-bitrate adaptive scheme at client-aspect plays a significant role in keeping a good quality of video streaming technology experience. Video quality affects the amount of time the video has turned off playing due to the unfilled buffer state. Therefore to maintain a video streaming continuously with smooth bandwidth fluctuation, a video buffer structure based on adapting the video bitrate is considered in this work. Initially, the video buffer structure is formulated as an optimal control-theoretic problem that combines both video bitrate and video buffer feedback signals. While
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Jabbar, Saba Qasim, and Dheyaa Jasim Kadhim. "A Proposed Adaptive Bitrate Scheme Based on Bandwidth Prediction Algorithm for Smoothly Video Streaming." Journal of Engineering 27, no. 1 (2021): 112–29. http://dx.doi.org/10.31026/10.31026/j.eng.2021.01.08.

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A robust video-bitrate adaptive scheme at client-aspect plays a significant role in keeping a good quality of video streaming technology experience. Video quality affects the amount of time the video has turned off playing due to the unfilled buffer state. Therefore to maintain a video streaming continuously with smooth bandwidth fluctuation, a video buffer structure based on adapting the video bitrate is considered in this work. Initially, the video buffer structure is formulated as an optimal control-theoretic problem that combines both video bitrate and video buffer feedback signals. While
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Karagkioules, Theodoros, Georgios S. Paschos, Nikolaos Liakopoulos, Attilio Fiandrotti, Dimitrios Tsilimantos, and Marco Cagnazzo. "Online Learning for Adaptive Video Streaming in Mobile Networks." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 1 (2022): 1–22. http://dx.doi.org/10.1145/3460819.

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In this paper, we propose a novel algorithm for video bitrate adaptation in HTTP Adaptive Streaming (HAS), based on online learning. The proposed algorithm, named Learn2Adapt (L2A) , is shown to provide a robust bitrate adaptation strategy which, unlike most of the state-of-the-art techniques, does not require parameter tuning, channel model assumptions, or application-specific adjustments. These properties make it very suitable for mobile users, who typically experience fast variations in channel characteristics. Experimental results, over real 4G traffic traces, show that L2A improves on the
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Cwalina, Krzysztof, Slawomir Ambroziak, Piotr Rajchowski, Jaroslaw Sadowski, and Jacek Stefanski. "A Novel Bitrate Adaptation Method for Heterogeneous Wireless Body Area Networks." Applied Sciences 8, no. 7 (2018): 1209. http://dx.doi.org/10.3390/app8071209.

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In the article, a novel bitrate adaptation method for data streams allocation in heterogeneous Wireless Body Area Networks (WBANs) is presented. The efficiency of the proposed algorithm was compared with other known algorithms of data stream allocation using computer simulation. A dedicated simulator has been developed using results of measurements in the real environment. The usage of the proposed adaptive data streams allocation method by transmission rate adaptation based on radio channel parameters can increase the efficiency of resources’ usage in a heterogeneous WBANs, in relation to fix
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Guo, Jia, Chengrui Li, Jinqi Zhu, et al. "Long Short-Term Memory-Based Non-Uniform Coding Transmission Strategy for a 360-Degree Video." Electronics 13, no. 16 (2024): 3281. http://dx.doi.org/10.3390/electronics13163281.

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This paper studies an LSTM-based adaptive transmission method for a 360-degree video and proposes a non-uniform encoding transmission strategy based on LSTM. Our goal is to maximize the user’s video experience by dynamically dividing the 360-degree video into tiles of different numbers and sizes, and selecting different bitrates for each tile. This aims to reduce buffering events and video jitter. To determine the optimal number and size of tiles at the current moment, we constructed a dual-layer stacked LSTM network model. This model predicts, in real-time, the number, size, and bitrate of th
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Alahmadi, Mohannad, Peter Pocta, and Hugh Melvin. "An Adaptive Bitrate Switching Algorithm for Speech Applications in Context of WebRTC." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 4 (2021): 1–21. http://dx.doi.org/10.1145/3458751.

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Web Real-Time Communication (WebRTC) combines a set of standards and technologies to enable high-quality audio, video, and auxiliary data exchange in web browsers and mobile applications. It enables peer-to-peer multimedia sessions over IP networks without the need for additional plugins. The Opus codec, which is deployed as the default audio codec for speech and music streaming in WebRTC, supports a wide range of bitrates. This range of bitrates covers narrowband, wideband, and super-wideband up to fullband bandwidths. Users of IP-based telephony always demand high-quality audio. In addition
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Li, Mao-quan, and Zheng-quan Xu. "An adaptive preprocessing algorithm for low bitrate video coding." Journal of Zhejiang University-SCIENCE A 7, no. 12 (2006): 2057–62. http://dx.doi.org/10.1631/jzus.2006.a2057.

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Peng, Shuai, Jialu Hu, Han Xiao, Shujie Yang, and Changqiao Xu. "Viewport-Driven Adaptive 360◦ Live Streaming Optimization Framework." Journal of Networking and Network Applications 1, no. 4 (2022): 139–49. http://dx.doi.org/10.33969/j-nana.2021.010401.

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Virtual reality (VR) video streaming and 360◦ panoramic video have received extensive attention in recent years, which can bring users an immersive experience. However, the ultra-high bandwidth and ultra-low latency requirements of virtual reality video or 360◦ panoramic video also put tremendous pressure on the carrying capacity of the current network. In fact, since the user’s field of view (a.k.a viewport) is limited when watching a panoramic video and users can only watch about 20%∼30% of the video content, it is not necessary to directly transmit all high-resolution content to the user. T
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Chen, Jessica, Henry Milner, Ion Stoica, and Jibin Zhan. "Benchmark of Bitrate Adaptation in Video Streaming." Journal of Data and Information Quality 13, no. 4 (2021): 1–24. http://dx.doi.org/10.1145/3468063.

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The HTTP adaptive streaming technique opened the door to cope with the fluctuating network conditions during the streaming process by dynamically adjusting the volume of the future chunks to be downloaded. The bitrate selection in this adjustment inevitably involves the task of predicting the future throughput of a video session, owing to which various heuristic solutions have been explored. The ultimate goal of the present work is to explore the theoretical upper bounds of the QoE that any ABR algorithm can possibly reach, therefore providing an essential step to benchmarking the performance
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Luo, Dan, Shuhua Xiong, Chao Ren, Raymond Edward Sheriff, and Xiaohai He. "Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction." Sensors 22, no. 16 (2022): 5977. http://dx.doi.org/10.3390/s22165977.

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The new generation video coding standard Versatile Video Coding (VVC) has adopted many novel technologies to improve compression performance, and consequently, remarkable results have been achieved. In practical applications, less data, in terms of bitrate, would reduce the burden of the sensors and improve their performance. Hence, to further enhance the intra compression performance of VVC, we propose a fusion-based intra prediction algorithm in this paper. Specifically, to better predict areas with similar texture information, we propose a fusion-based adaptive template matching method, whi
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Rozprawy doktorskie na temat "Adaptive bitrate Algorithm"

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Kanj, Hind. "Zero-Latency strategies for video transmission using frame extrapolation." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2024. https://ged.uphf.fr/nuxeo/site/esupversions/53e0c0d3-296e-477f-9adc-2dbc315128f5.

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La demande de diffusion sans interruption de contenu vidéo et de haute qualité avec une latence minimale est essentielle dans les applications telles que la diffusion sportive et le contrôle de systèmes à distance. Cependant, la diffusion vidéo reste exposée à des défis en raison des caractéristiques variables des canaux de communication, qui peuvent avoir un impact sur la qualité de l'expérience en termes de qualité vidéo et de latence de bout en bout (le temps entre l'acquisition de la vidéo à l'émetteur et son affichage au récepteur).L'objectif de cette thèse est d'aborder le problème des a
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Mazza, Stefano. "Implementazione e analisi di algoritmi dinamici per trasmissione MPEG-DASH su client Android." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11875/.

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Attualmente, la maggior parte dei dati che transitano sulla rete appartiene a contenuti multimediali. Più nello specifico, è lo Streaming Video ad avere la predominanza nella condivisione di Internet; vista la crescita che tale servizio ha subìto negli ultimi anni, si sono susseguiti diversi studi volti allo sviluppo di tecniche e metodologie che potessero migliorarlo. Una di queste è sicuramente l'Adaptive Video Streaming, tecnica utilizzata per garantire all'utente una buona Quality of Experience (QoE) mediante l'utilizzo dei cosiddetti "algoritmi di rate adaptation". Il lavoro svolto in
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Belda, Ortega Román. "Mejora del streaming de vídeo en DASH con codificación de bitrate variable mediante el algoritmo Look Ahead y mecanismos de coordinación para la reproducción, y propuesta de nuevas métricas para la evaluación de la QoE." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/169467.

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[ES] Esta tesis presenta diversas propuestas encaminadas a mejorar la transmisión de vídeo a través del estándar DASH (Dynamic Adaptive Streaming over HTTP). Este trabajo de investigación estudia el protocolo de transmisión DASH y sus características. A la vez, plantea la codificación con calidad constante y bitrate variable como modo de codificación del contenido de vídeo más indicado para la transmisión de contenido bajo demanda mediante el estándar DASH. Derivado de la propuesta de utilización del modo de codificación de calidad constante, cobra mayor importancia el papel que juegan los a
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Części książek na temat "Adaptive bitrate Algorithm"

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Sharif, Usman, Adnan N. Qureshi, and Seemal Afza. "ORTIA: An Algorithm to Improve Quality of Experience in HTTP Adaptive Bitrate Streaming Sessions." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55190-2_3.

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Li, Weihe, Jiawei Huang, Yu Liang, et al. "CAST: An Intricate-Scene Aware Adaptive Bitrate Approach for Video Streaming via Parallel Training." In Algorithms and Architectures for Parallel Processing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0859-8_8.

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Khan, Koffka, and Wayne Goodridge. "Ultra-HD Video Streaming in 5G Fixed Wireless Access Bottlenecks." In Proceedings of CECNet 2021. IOS Press, 2021. http://dx.doi.org/10.3233/faia210441.

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5G Fixed Wireless Access (FWA) is an enabling technology in intelligent systems (IS) that may provide Ultra-HD (UHD) video streaming services with high Quality of Experience (QoE) in a small business use case setting. However, UHD streaming over 5G FWA is difficult in terms of latency and dependability due to numerous network factors. Due to this there may be multiple video players competing for network resources when streaming a UHD video. To date there has been very little work of 5G ‘last mile access’ streaming over bottleneck FWA Local Area Networks (LANs) under congested network condition
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Streszczenia konferencji na temat "Adaptive bitrate Algorithm"

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Ren, Anhu, Yang Chen, and Yufei Li. "Research on Adaptive Bitrate Algorithm for UAV Video Transmission." In 2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE, 2024. http://dx.doi.org/10.1109/icsp62122.2024.10743672.

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Nos, Tarnim, Ahmed O. Elmeligy, Mohamed S. Hassan, Taha Landolsi, and Mahmoud H. Ismail. "Buffer-Based Adaptive Bitrate Algorithm for Enhanced Quality of Experience." In 2024 International Telecommunications Conference (ITC-Egypt). IEEE, 2024. http://dx.doi.org/10.1109/itc-egypt61547.2024.10620520.

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Liu, Feng, Yanxuan Huang, Zhou Chen, and Beilei Yin. "Research on Multimodal Optimization of 5G Using Adaptive Bitrate Stream Algorithm." In 2025 Asia-Europe Conference on Cybersecurity, Internet of Things and Soft Computing (CITSC). IEEE, 2025. https://doi.org/10.1109/citsc64390.2025.00170.

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Wu, Xiaona, Xiao Li, Xun Tong, Rong Xie, and Li Song. "Reinforcement Learning Based Adaptive Bitrate Algorithm for Transmitting Panoramic Videos." In 2019 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2019. http://dx.doi.org/10.1109/iscas.2019.8702736.

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Meng, Linghui, Fangyu Zhang, Lei Bo, Hancheng Lu, Jin Qin, and Jiangping Han. "Fastconv: Fast Learning Based Adaptive BitRate Algorithm for Video Streaming." In GLOBECOM 2019 - 2019 IEEE Global Communications Conference. IEEE, 2019. http://dx.doi.org/10.1109/globecom38437.2019.9013152.

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Xue, Xiaoxi, and Yuchao Zhang. "ABC: Adaptive Bitrate Algorithm Commander for Multi-Client Video Streaming." In APNET 2023: 7th Asia-Pacific Workshop on Networking. ACM, 2023. http://dx.doi.org/10.1145/3600061.3603134.

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Zhang, Yin, and Xin Sun. "A Video Bitrate Adaptive Algorithm for Public Network Digital Trunking Terminals." In 2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS). IEEE, 2022. http://dx.doi.org/10.1109/ispds56360.2022.9874181.

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Yuan, Jinghao, Bingcong Lu, Mingyue Hao, Xiaoyong Liu, Li Song, and Wenjun Zhang. "SpaAbr: Size Prediction Assisted Adaptive Bitrate Algorithm for Scalable Video Coding Contents." In 2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2021. http://dx.doi.org/10.1109/bmsb53066.2021.9547154.

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Yuan, Haoyue, Hancheng Lu, Linghui Meng, and Mengjie Liu. "MUABR: Multi-user Adaptive Bitrate Algorithm based Multi-agent Deep Reinforcement Learning." In ICC 2022 - IEEE International Conference on Communications. IEEE, 2022. http://dx.doi.org/10.1109/icc45855.2022.9839087.

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Chen, Chunlei, Kaijun Liu, Chen Dong, and Geng Liu. "LD-ABR: An Adaptive Bitrate Algorithm for Video Transmission in Wireless Network." In 2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI). IEEE, 2023. http://dx.doi.org/10.1109/ccai57533.2023.10201241.

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