Compressed-domain video parsing using energy histograms of the lower-frequency DCT coefficients

Oliver K.-C. Bao; Jose A. Lay; Ling Guan

doi:10.1117/12.373561

23 December 1999 Compressed-domain video parsing using energy histograms of the lower-frequency DCT coefficients

Oliver K.-C. Bao, Jose A. Lay, Ling Guan

Proceedings Volume 3972, Storage and Retrieval for Media Databases 2000; (1999) https://doi.org/10.1117/12.373561
Event: Electronic Imaging, 2000, San Jose, CA, United States

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.

Citation Download Citation

Oliver K.-C. Bao, Jose A. Lay, and Ling Guan "Compressed-domain video parsing using energy histograms of the lower-frequency DCT coefficients", Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); https://doi.org/10.1117/12.373561

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available