By Topic

A noise-reduction approach to scene segmentation for large video databases

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

2 Author(s)
W. Tavanapong ; Dept. of Comput. Sci., Iowa State Univ., Ames, IA, USA ; Junyu Zhou

Automatic video segmentation is the first and necessary step that structures a video into several smaller and meaningful units for effective browsing and retrieval for large video databases. The effectiveness of this step is, thus, very crucial to the overall performance of a video database management system. We present a novel concept in scene segmentation called noise-reduction scene segmentation. This approach discards irrelevant areas or noise in a video frame from being used in the segmentation process to increase the accuracy of the segmentation. Unlike existing techniques, video frames are first noise-reduced and only relevant information is left for subsequent steps of the segmentation process. Our experimental results indicate that a seamless integration of our simple noise filter to an existing scene segmentation technique offers a non-negligible improvement in the segmentation accuracy (i.e., as much as 59% less falsely detected scenes)

Published in:

Information Technology: Coding and Computing, 2001. Proceedings. International Conference on

Date of Conference:

Apr 2001