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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/43036
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dc.titleROI and FOI algorithms for wavelet-based video compression
dc.contributor.authorLiu, C.
dc.contributor.authorXia, T.
dc.contributor.authorLi, H.
dc.date.accessioned2013-07-23T09:23:14Z
dc.date.available2013-07-23T09:23:14Z
dc.date.issued2004
dc.identifier.citationLiu, C.,Xia, T.,Li, H. (2004). ROI and FOI algorithms for wavelet-based video compression. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3333 : 241-248. ScholarBank@NUS Repository.
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/43036
dc.description.abstractMany techniques make great contributions to video compression with removal of spatial and temporal redundancy in and between frames. However, compressed video is still rather large for applications such as surveillance system. In order to compress more, in video compression techniques, region-of-interest (ROI) and frames-of-interest (FOI) codings could be addressed to set high priority to ROI or FOI by allocating more bits than others. Normally, locations of related coefficients for the reconstruction of the ROI are calculated according to the filter lenghth. However, it is not efficient. In this paper a novel wavelet-based ROI and FOI scheme is proposed. Simulation results show excellent performance. © Springer-Verlag 2004.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentTEMASEK LABORATORIES
dc.contributor.departmentINSTITUTE OF ENGINEERING SCIENCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume3333
dc.description.page241-248
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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