Dam Trong Nam, Gennady Gryzov, A. Dvorkovich, V. P. Dvorkovich
{"title":"Nonlinear Quantization Method for Wavelet-Based Video Codec","authors":"Dam Trong Nam, Gennady Gryzov, A. Dvorkovich, V. P. Dvorkovich","doi":"10.1109/EnT-MIPT.2018.00013","DOIUrl":null,"url":null,"abstract":"This paper is dedicated to the research and development of quantization methods for wavelet-based video codec. Uniform, nonlinear quantization method and their potential applications for wavelet-based video codec Dirac have been investigated. The optimized quantization method for wavelet-based video codec have been proposed based on analysis of the processing results for various video types using quantization methods mentioned above. The processing results for various types of video show that the proposed method provides up to 4.2% bitrate saving for low distortion level in the intra-frame coding mode, up to 9.8% bitrate reduction for low distortion level and up to 11.2% bitrate saving for medium (acceptable) distortion level in the inter-frame coding mode compared to the uniform quantization method implemented in video codec Dirac.","PeriodicalId":131975,"journal":{"name":"2018 Engineering and Telecommunication (EnT-MIPT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Engineering and Telecommunication (EnT-MIPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EnT-MIPT.2018.00013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper is dedicated to the research and development of quantization methods for wavelet-based video codec. Uniform, nonlinear quantization method and their potential applications for wavelet-based video codec Dirac have been investigated. The optimized quantization method for wavelet-based video codec have been proposed based on analysis of the processing results for various video types using quantization methods mentioned above. The processing results for various types of video show that the proposed method provides up to 4.2% bitrate saving for low distortion level in the intra-frame coding mode, up to 9.8% bitrate reduction for low distortion level and up to 11.2% bitrate saving for medium (acceptable) distortion level in the inter-frame coding mode compared to the uniform quantization method implemented in video codec Dirac.