By Topic

Hierarchical video indexing and retrieval for subband-coded video

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
$31 $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

2 Author(s)
Jungwoo Lee ; Sarnoff Corp., Princeton, NJ, USA ; Dickinson, B.W.

We present a multiresolution approach for video indexing and feature matching of subband-coded video databases. Four different scene-change detectors were tested; scene-change detection is applied only on the lowest subband for computational efficiency. Two kinds of scene changes, abrupt and smoothly accumulated, mark the beginning of new scene segments. The index for each scene segment is the pair of the histograms of two representative frames, the first and the last frame of the scene. Using the approach of query by example, the index-matching algorithm takes a multiresolution approach by hierarchically comparing histograms at different resolutions. The search algorithm for the match between example query and its target scene segment starts from the coarsest resolution and moves to the next finer resolution until the finest resolution is reached. Experimental results are presented, and the proposed indexing technique appears to be promising for its speed and its inherent hierarchical search procedure

Published in:

Circuits and Systems for Video Technology, IEEE Transactions on  (Volume:10 ,  Issue: 5 )