{"title":"Determination of Lagrange multipliers for interframe EZBC/JP2K","authors":"Yuan Liu , John W. Woods","doi":"10.1016/j.image.2023.117030","DOIUrl":null,"url":null,"abstract":"<div><p><span>Interframe<span> EZBC/JP2K has been shown to be an effective fine-grain scalable video coding system. However, its </span></span>Lagrange multiplier<span><span> values for motion estimation of multiple temporal levels are not specified, and must be specified by the user in the config file in order to run the program. In this paper, we investigate how to select these </span>Lagrange parameters for optimized performance. By designing an iterative mechanism, we make it possible for the encoder to adaptively select Lagrange multipliers based on the feedback of Y-PSNR closed GOP performance. Experimental results regarding both classic test video clips and their concatenations are obtained and discussed. We also present a new analytical model for optimized Lagrange multiplier selection in terms of target Y-PSNR.</span></p></div>","PeriodicalId":49521,"journal":{"name":"Signal Processing-Image Communication","volume":"118 ","pages":"Article 117030"},"PeriodicalIF":3.4000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Processing-Image Communication","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0923596523001121","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Interframe EZBC/JP2K has been shown to be an effective fine-grain scalable video coding system. However, its Lagrange multiplier values for motion estimation of multiple temporal levels are not specified, and must be specified by the user in the config file in order to run the program. In this paper, we investigate how to select these Lagrange parameters for optimized performance. By designing an iterative mechanism, we make it possible for the encoder to adaptively select Lagrange multipliers based on the feedback of Y-PSNR closed GOP performance. Experimental results regarding both classic test video clips and their concatenations are obtained and discussed. We also present a new analytical model for optimized Lagrange multiplier selection in terms of target Y-PSNR.
期刊介绍：
Signal Processing: Image Communication is an international journal for the development of the theory and practice of image communication. Its primary objectives are the following:
To present a forum for the advancement of theory and practice of image communication.
To stimulate cross-fertilization between areas similar in nature which have traditionally been separated, for example, various aspects of visual communications and information systems.
To contribute to a rapid information exchange between the industrial and academic environments.
The editorial policy and the technical content of the journal are the responsibility of the Editor-in-Chief, the Area Editors and the Advisory Editors. The Journal is self-supporting from subscription income and contains a minimum amount of advertisements. Advertisements are subject to the prior approval of the Editor-in-Chief. The journal welcomes contributions from every country in the world.
Signal Processing: Image Communication publishes articles relating to aspects of the design, implementation and use of image communication systems. The journal features original research work, tutorial and review articles, and accounts of practical developments.
Subjects of interest include image/video coding, 3D video representations and compression, 3D graphics and animation compression, HDTV and 3DTV systems, video adaptation, video over IP, peer-to-peer video networking, interactive visual communication, multi-user video conferencing, wireless video broadcasting and communication, visual surveillance, 2D and 3D image/video quality measures, pre/post processing, video restoration and super-resolution, multi-camera video analysis, motion analysis, content-based image/video indexing and retrieval, face and gesture processing, video synthesis, 2D and 3D image/video acquisition and display technologies, architectures for image/video processing and communication.
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