ROI and FOI algorithms for wavelet-based video compression

Chaoqiang Liu, Tao Xia, Hui Li

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Many 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.

Original languageEnglish
Pages (from-to)241-248
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3333
DOIs
Publication statusPublished - 2004
Externally publishedYes

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