By Topic

An efficient video similarity search algorithm

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)
Zheng Cao ; Key Lab of Network Communication System & Control of Chinese Academy of Sciences and the Key Lab of Network Communication System & Control of Anhui Province, Department of Automation, University of Science and Technology of China ; Ming Zhu

For the convenience of content-based video retrieval in large storage device, a new efficient video similarity search approach is proposed in this paper. To solve two challenging problems: similarity measurement and search method, a novel video feature computation of image characteristic code was proposed based on spatial-temporal distribution of video frame sequences. The video similarity is measured based on the calculation of the number of similar video components. For the scalable computing requirement, a new search method according to clustering index table was presented by index clustering. The experimental results in large database query tests show this method is efficient and effective for similar video search.

Published in:

IEEE Transactions on Consumer Electronics  (Volume:56 ,  Issue: 2 )