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Proceedings Paper

Compressed-domain video parsing using energy histograms of the lower-frequency DCT coefficients
Author(s): Oliver K.-C. Bao; Jose A. Lay; Ling Guan
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Paper Abstract

As an increasing amount of audio-visual data is stored, distribute, and used in the compressed form, compressed- domain techniques will be favorable. However, as conventional features may not be accessible in the compressed domain, exploration of new compressed domain features will become mandatory. Studies have shown that the DC coefficients of a DCT-compressed video can be used to detect shot transitions for relatively simple video sequences.In this work, the use of the energy histogram of the lower frequency DCT coefficients as features for video parsing was examined. The experimental results show an improvement over those obtained by the DC coefficients alone.

Paper Details

Date Published: 23 December 1999
PDF: 8 pages
Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); doi: 10.1117/12.373561
Show Author Affiliations
Oliver K.-C. Bao, Univ. of Sydney (Australia)
Jose A. Lay, Univ. of Sydney (Australia)
Ling Guan, Univ. of Sydney (Canada)

Published in SPIE Proceedings Vol. 3972:
Storage and Retrieval for Media Databases 2000
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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