数据压缩与源编码中的视频传输建模与优化

Satendra Singh, Shri Bhagwan, C. Menaka
{"title":"数据压缩与源编码中的视频传输建模与优化","authors":"Satendra Singh, Shri Bhagwan, C. Menaka","doi":"10.1109/ICOCWC60930.2024.10470691","DOIUrl":null,"url":null,"abstract":"This paper examines video transmission, compression, and supply coding modeling and optimization. The middle challenge of this paper is to investigate the impact of diverse compression and source coding strategies on video overall performance. The paper will analyze the impact of compression and source coding techniques on video transmission bit rate, latency, blunders price, and exceptional provider. Distinctive methods and strategies are discussed for enhancing video performance, including superior supply coding strategies, perceptual metrics, and using a few codecs for high-quality warranty and playback. Furthermore, a comprehensive implementation of a video transmission gadget that contains information compression strategies, channel coding, supply coding, and buffering design is considered. ultimately, an optimization hassle version is formulated to optimize the video's overall performance concerning the compressing and supply coding strategies. Modeling and optimizing video transmission in records compression and supply coding is a crucial research topic for multimedia community communications. It includes transmitting motion video statistics over dispensed networks and the networks themselves. As technological advancements in hardware and software programs preserve to enhance, the layout and improvement of efficient video transmission algorithms grow to be even extra significant. Exclusive coding fashions and optimization strategies have been explored to improve the excellent of virtual video if you want to maximize the perceived excellent and decrease the transmission costs in various eventualities. Researchers have evaluated various techniques for deciding on the most desirable bitrates; finding methods for body charge conversion; improving the coding efficiency in textures, motion vectors, and features; block and remodel coding; and increasing video throughput in diverse network situations. These techniques are critical to enabling dependable, low-latency video transmission. There was growing interest in optimizing video transmission in various use cases, including streaming media, stay broadcasts, and digital fact packages. Standard, optimizing video transmission in statistics compression and supply coding stays a vital topic of exploration to ensure reliable and cost-powerful multimedia communications..","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"12 3","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling and Optimization of Video Transmission in Data Compression & Source Coding\",\"authors\":\"Satendra Singh, Shri Bhagwan, C. Menaka\",\"doi\":\"10.1109/ICOCWC60930.2024.10470691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines video transmission, compression, and supply coding modeling and optimization. The middle challenge of this paper is to investigate the impact of diverse compression and source coding strategies on video overall performance. The paper will analyze the impact of compression and source coding techniques on video transmission bit rate, latency, blunders price, and exceptional provider. Distinctive methods and strategies are discussed for enhancing video performance, including superior supply coding strategies, perceptual metrics, and using a few codecs for high-quality warranty and playback. Furthermore, a comprehensive implementation of a video transmission gadget that contains information compression strategies, channel coding, supply coding, and buffering design is considered. ultimately, an optimization hassle version is formulated to optimize the video's overall performance concerning the compressing and supply coding strategies. Modeling and optimizing video transmission in records compression and supply coding is a crucial research topic for multimedia community communications. It includes transmitting motion video statistics over dispensed networks and the networks themselves. As technological advancements in hardware and software programs preserve to enhance, the layout and improvement of efficient video transmission algorithms grow to be even extra significant. Exclusive coding fashions and optimization strategies have been explored to improve the excellent of virtual video if you want to maximize the perceived excellent and decrease the transmission costs in various eventualities. Researchers have evaluated various techniques for deciding on the most desirable bitrates; finding methods for body charge conversion; improving the coding efficiency in textures, motion vectors, and features; block and remodel coding; and increasing video throughput in diverse network situations. These techniques are critical to enabling dependable, low-latency video transmission. There was growing interest in optimizing video transmission in various use cases, including streaming media, stay broadcasts, and digital fact packages. Standard, optimizing video transmission in statistics compression and supply coding stays a vital topic of exploration to ensure reliable and cost-powerful multimedia communications..\",\"PeriodicalId\":518901,\"journal\":{\"name\":\"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)\",\"volume\":\"12 3\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOCWC60930.2024.10470691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCWC60930.2024.10470691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文研究了视频传输、压缩和供应编码建模与优化。本文的核心挑战是研究各种压缩和源编码策略对视频整体性能的影响。本文将分析压缩和源编码技术对视频传输比特率、延迟、错误价格和卓越服务的影响。论文讨论了提高视频性能的独特方法和策略,包括卓越的源编码策略、感知度量以及使用一些编解码器进行高质量保修和回放。此外,还考虑了视频传输设备的综合实现,包括信息压缩策略、信道编码、供电编码和缓冲设计。最后,还提出了一个优化问题版本,以优化视频在压缩和供电编码策略方面的整体性能。在记录压缩和供应编码中对视频传输进行建模和优化是多媒体社区通信的一个重要研究课题。它包括通过分配网络和网络本身传输运动视频统计数据。随着硬件和软件程序技术的不断进步,高效视频传输算法的布局和改进变得更加重要。如果想在各种情况下最大限度地提高感知质量并降低传输成本,人们一直在探索独特的编码方式和优化策略,以提高虚拟视频的质量。研究人员评估了各种技术,以确定最理想的比特率;找到体电荷转换方法;提高纹理、运动矢量和特征的编码效率;块编码和重塑编码;以及提高不同网络情况下的视频吞吐量。这些技术对于实现可靠、低延迟的视频传输至关重要。人们对优化各种使用情况下的视频传输越来越感兴趣,包括流媒体、持续广播和数字事实包。标准方面,在统计压缩和供应编码中优化视频传输仍然是一个重要的探索课题,以确保可靠和低成本的多媒体通信。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Optimization of Video Transmission in Data Compression & Source Coding
This paper examines video transmission, compression, and supply coding modeling and optimization. The middle challenge of this paper is to investigate the impact of diverse compression and source coding strategies on video overall performance. The paper will analyze the impact of compression and source coding techniques on video transmission bit rate, latency, blunders price, and exceptional provider. Distinctive methods and strategies are discussed for enhancing video performance, including superior supply coding strategies, perceptual metrics, and using a few codecs for high-quality warranty and playback. Furthermore, a comprehensive implementation of a video transmission gadget that contains information compression strategies, channel coding, supply coding, and buffering design is considered. ultimately, an optimization hassle version is formulated to optimize the video's overall performance concerning the compressing and supply coding strategies. Modeling and optimizing video transmission in records compression and supply coding is a crucial research topic for multimedia community communications. It includes transmitting motion video statistics over dispensed networks and the networks themselves. As technological advancements in hardware and software programs preserve to enhance, the layout and improvement of efficient video transmission algorithms grow to be even extra significant. Exclusive coding fashions and optimization strategies have been explored to improve the excellent of virtual video if you want to maximize the perceived excellent and decrease the transmission costs in various eventualities. Researchers have evaluated various techniques for deciding on the most desirable bitrates; finding methods for body charge conversion; improving the coding efficiency in textures, motion vectors, and features; block and remodel coding; and increasing video throughput in diverse network situations. These techniques are critical to enabling dependable, low-latency video transmission. There was growing interest in optimizing video transmission in various use cases, including streaming media, stay broadcasts, and digital fact packages. Standard, optimizing video transmission in statistics compression and supply coding stays a vital topic of exploration to ensure reliable and cost-powerful multimedia communications..
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信