Efficient moving object extraction in compressed low-bit-rate video

Chih Chung Hsu, Hsuan T. Chang, Ting Cheng Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Previous studies usually consider the motion object extraction (MOE) problem under uncompressed video, which is not practical since the high-frequency components are discarded already in the compressed low-bit-rate video. Moreover, extracting the motion object based only on illumination variation cannot work well when the moving object and background are with similar light intensities. Therefore, an MOE algorithm based on RGB-color model is proposed in this study. On the other hand, the blockbased background extraction method, which can more efficiently construct the background image, is also proposed. The simulation results show that the motion objects can be efficiently extracted using the proposed methods.

Original languageEnglish
Title of host publicationProceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006
Pages411-414
Number of pages4
DOIs
Publication statusPublished - 2006
Event2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006 - Pasadena, CA, United States
Duration: 2006 Dec 182006 Dec 20

Publication series

NameProceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006

Other

Other2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006
Country/TerritoryUnited States
CityPasadena, CA
Period06-12-1806-12-20

All Science Journal Classification (ASJC) codes

  • General Computer Science

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