{"title":"Three dimensional wavelet transform video compression","authors":"Ian Karl Levy, R. Wilson","doi":"10.1109/MMCS.1999.778612","DOIUrl":null,"url":null,"abstract":"A new approach to vector quantizer (VQ) codebook design for video data compression is described. This is based on the notion that symmetries in the data, which are seldom captured exactly in any training dataset, are both important perceptually and can lead to a more robust and effective codebook. The idea is illustrated using a 3D wavelet transformed video sequence. After discussing the relevant symmetries, a codebook design method is presented, based on a modification of the Linde-Buzo-Gray (1980) algorithm. This is applied to various video sequences. Comparisons drawn with other work in the area demonstrate that the scheme has potential and is worthy of further investigation.","PeriodicalId":408680,"journal":{"name":"Proceedings IEEE International Conference on Multimedia Computing and Systems","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1999.778612","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
A new approach to vector quantizer (VQ) codebook design for video data compression is described. This is based on the notion that symmetries in the data, which are seldom captured exactly in any training dataset, are both important perceptually and can lead to a more robust and effective codebook. The idea is illustrated using a 3D wavelet transformed video sequence. After discussing the relevant symmetries, a codebook design method is presented, based on a modification of the Linde-Buzo-Gray (1980) algorithm. This is applied to various video sequences. Comparisons drawn with other work in the area demonstrate that the scheme has potential and is worthy of further investigation.