{"title":"A Comparative Evaluation of Various HEVC Implementations in Error-Prone Environments","authors":"Islem Mansri, Nasreddine Kouadria, Ahcen Aliouat, Noureddine Doghmane","doi":"10.3103/S0146411625700518","DOIUrl":null,"url":null,"abstract":"<p>This paper extensively examines the error resilience performance of three prominent HEVC (high-efficiency video coding) software implementations – HM (HEVC Test Model), x265 with medium presets, and x265 with ultrafast presets—across diverse network conditions. Using a class C video coding dataset with varied content, our experiments aim to elucidate the impact of code optimizations on the resilience of HEVC bitstreams to network errors. Contrary to their observed influence on compression efficiency, code optimizations do not significantly affect the error resilience of HEVC bitstreams. Notably, x265-M “Medium” emerges as the most reliable software implementation for real-time video transmission, showcasing adequate performance in the face of network errors. These findings provide valuable insights for practitioners and researchers, informing the selection and design of video coding systems.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 3","pages":"349 - 354"},"PeriodicalIF":0.5000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0146411625700518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper extensively examines the error resilience performance of three prominent HEVC (high-efficiency video coding) software implementations – HM (HEVC Test Model), x265 with medium presets, and x265 with ultrafast presets—across diverse network conditions. Using a class C video coding dataset with varied content, our experiments aim to elucidate the impact of code optimizations on the resilience of HEVC bitstreams to network errors. Contrary to their observed influence on compression efficiency, code optimizations do not significantly affect the error resilience of HEVC bitstreams. Notably, x265-M “Medium” emerges as the most reliable software implementation for real-time video transmission, showcasing adequate performance in the face of network errors. These findings provide valuable insights for practitioners and researchers, informing the selection and design of video coding systems.
期刊介绍：
Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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