{"title":"Spatiotemporal subband/wavelet coding of video with object-based motion information","authors":"Soo-Chul Han, J. Woods","doi":"10.1109/ICIP.1997.638850","DOIUrl":null,"url":null,"abstract":"We present a novel object-based spatiotemporal (3-D) subband/wavelet coding scheme for very low bit-rate video compression. First, the image sequence is segmented into objects based on motion and color. The objects are then independently decomposed by subband/wavelet analysis, both in the temporal and spatial domain. The temporal analysis is greatly facilitated over existing methods by the object-based representation. Each object's subband/wavelet coefficients are then quantized according to a bit allocation scheme based on the generalised BFOS algorithm. Simulations at very low bit-rates indicate competitive performance to classical motion-compensated predictive (MCP) coding schemes, while allowing the flexibility of frame-rate scalability.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"70 1","pages":"629-632 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.1997.638850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
We present a novel object-based spatiotemporal (3-D) subband/wavelet coding scheme for very low bit-rate video compression. First, the image sequence is segmented into objects based on motion and color. The objects are then independently decomposed by subband/wavelet analysis, both in the temporal and spatial domain. The temporal analysis is greatly facilitated over existing methods by the object-based representation. Each object's subband/wavelet coefficients are then quantized according to a bit allocation scheme based on the generalised BFOS algorithm. Simulations at very low bit-rates indicate competitive performance to classical motion-compensated predictive (MCP) coding schemes, while allowing the flexibility of frame-rate scalability.
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