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dc.contributor.authorFang, YCen_US
dc.contributor.authorLee, CYen_US
dc.contributor.authorWang, YMen_US
dc.contributor.authorWang, CNen_US
dc.contributor.authorChiang, THen_US
dc.date.accessioned2014-12-08T15:25:42Z-
dc.date.available2014-12-08T15:25:42Z-
dc.date.issued2004en_US
dc.identifier.isbn0-7803-8554-3en_US
dc.identifier.issn1522-4880en_US
dc.identifier.urihttp://hdl.handle.net/11536/18114-
dc.description.abstractWe present a line-based adaptive lossless video compression (LALVC) algorithm for interactive multimedia applications that demand low complexity and low latency. Communications between high-resolution display and storage devices require high bandwidth for exchanging raw data. To reduce cost of video transmission without losing data accuracy, lossless video cornpression is necessary. Considering low complexity and low delay, LALVC adopts a simple and efficient architecture that adopts one-pass, raster-scan. transform-free coding process and a simple predictor. For low latency, zero-motion prediction and one-frame buffer are used to reduce temporal redundancy. In addition, to maximize the coding efficiency for both natural and computer-generated video sequences, LALVC adaptively selects the best coding mode for each line of a frame. The entropy coding of each line is based on Golomb code that can enhance coding efficiency with less computation load and is easy for hardware realization. The Simulation results show that temporal preprocessing and line-based mode decision of LALVC can increase compression ratio with properly increased complexity as compared to that of JPEG-LS.en_US
dc.language.isoen_USen_US
dc.titleLow complexity lossless video compressionen_US
dc.typeProceedings Paperen_US
dc.identifier.journalICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5en_US
dc.citation.spage2519en_US
dc.citation.epage2522en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000228043503097-
Appears in Collections:Conferences Paper