{"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}
引用次数: 0
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..