By Topic

Robust video signature based on ordinal measure

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xian-Sheng Hua ; Microsoft Res. Asia, Beijing, China ; Xian Chen ; Hong-Jiang Zhang

We propose a video signature based on an ordinal measure of resampled video frames, which is robust to changing compression formats, compression ratios, frame sizes and frame rates. For effective localization of a short query video clip in a long target video through the proposed video signature, we developed a coarse-to-fine signature comparison scheme. In the coarse searching step, roughly matched positions are determined based on sequence shape similarity, while in the fine searching step, dynamic programming is applied to handle similarity matching in the case of losing frames, and temporal editing processes are employed on the target video. Experiments show that the proposed video signature has good robustness and uniqueness, which are the two essential properties of video signatures.

Published in:

Image Processing, 2004. ICIP '04. 2004 International Conference on  (Volume:1 )

Date of Conference:

24-27 Oct. 2004