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Proceedings Paper

Video parsing using compressed data
Author(s): HongJiang Zhang; Chien Yong Low; Yihong Gong; Stephen W. Smoliar
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Paper Abstract

Parsing video content is an important first step in the video indexing process. This paper presents algorithms to automate the video parsing task, including video partitioning and video clip classification according to camera operations using compressed video data. We have studied and implemented two algorithms for partitioning video data compressed according to the MPEG standard. The first one is based on discrete cosine transform coefficients of video frames, and the other based on correlation of motion vectors. Algorithms to detect camera operations using motion vectors are presented.

Paper Details

Date Published: 23 March 1994
PDF: 8 pages
Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); doi: 10.1117/12.171062
Show Author Affiliations
HongJiang Zhang, National Univ. of Singapore (Singapore)
Chien Yong Low, National Univ. of Singapore (Singapore)
Yihong Gong, Nanyang Technological Univ. (Singapore)
Stephen W. Smoliar, National Univ. of Singapore (Singapore)

Published in SPIE Proceedings Vol. 2182:
Image and Video Processing II
Sarah A. Rajala; Robert L. Stevenson, Editor(s)

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