04712nam 22007815 450 991029899600332120200705154535.03-319-14243-710.1007/978-3-319-14243-2(CKB)3710000000337905(EBL)1965418(OCoLC)908083411(SSID)ssj0001424400(PQKBManifestationID)11784564(PQKBTitleCode)TC0001424400(PQKBWorkID)11363885(PQKB)10370637(MiAaPQ)EBC1965418(DE-He213)978-3-319-14243-2(PPN)183517768(EXLCZ)99371000000033790520150115d2014 u| 0engur|n|---|||||txtccrAdvanced Video Coding Systems /by Wen Gao, Siwei Ma1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (244 p.)Description based upon print version of record.3-319-14242-9 Includes bibliographical references and index.Introduction -- Video Coding Basic Principle -- An Overview of AVS2 Standard -- Prediction Coding -- Transform and Quantization -- Entropy Coding -- In-Loop Filter -- Scene Video Coding -- Video Coding Optimization and Application System -- Intelligent Video System -- Image and Video Quality Assessment -- Hot Research Topics in Video Coding and Systems.This comprehensive and accessible text/reference presents an overview of the state of the art in video coding technology. Specifically, the book introduces the tools of the AVS2 standard, describing how AVS2 can help to achieve a significant improvement in coding efficiency for future video networks and applications by incorporating smarter coding tools such as scene video coding. Topics and features: Introduces the basic concepts in video coding, and presents a short history of video coding technology and standards Reviews the coding framework, main coding tools, and syntax structure of AVS2 Describes the key technologies used in the AVS2 standard, including prediction coding, transform coding, entropy coding, and loop-filters Examines efficient tools for scene video coding and surveillance video, and the details of a promising intelligent video coding system Discusses optimization technologies in video coding systems for reducing complexity, improving performance, and organizing compressed streams Provides a review of image, video, and 3D content quality assessment algorithms Surveys the hot research topics in video compression, including perceptual video compression, and Internet media-oriented compression This invaluable work provides practical guidance for engineers on implementing the AVS2 standard, and will also prove helpful to students wishing to better understand the relevant techniques. Additionally, the book offers suggestions for researchers interested in developing smart video coding and processing frameworks for target problems.Coding theoryInformation theoryMultimedia information systemsSignal processingImage processingSpeech processing systemsOptical data processingCoding and Information Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/I15041Multimedia Information Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I18059Signal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Coding theory.Information theory.Multimedia information systems.Signal processing.Image processing.Speech processing systems.Optical data processing.Coding and Information Theory.Multimedia Information Systems.Signal, Image and Speech Processing.Image Processing and Computer Vision.003.54004006.37006.6Gao Wenauthttp://id.loc.gov/vocabulary/relators/aut904558Ma Siweiauthttp://id.loc.gov/vocabulary/relators/autBOOK9910298996003321Advanced Video Coding Systems2022611UNINA