Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/111138
Title: An integrated system for content-based video retrieval and browsing
Authors: Zhang, H.J. 
Wu, J. 
Zhong, D.
Smoliar, S.W. 
Keywords: Database
Multimedia
Video browsing
Video parsing
Video retrieval
Issue Date: Apr-1997
Citation: Zhang, H.J.,Wu, J.,Zhong, D.,Smoliar, S.W. (1997-04). An integrated system for content-based video retrieval and browsing. Pattern Recognition 30 (4) : 643-658. ScholarBank@NUS Repository.
Abstract: This paper presents an integrated system solution for computer assisted video parsing and content-based video retrieval and browsing. The effectiveness of this solution lies in its use of video content information derived from a parsing process, being driven by visual feature analysis. That is, parsing will temporally segment and abstract a video source, based on low-level image analyses; then retrieval and browsing of video will be based on key-frame, temporal and motion features of shots. These processes and a set of tools to facilitate content-based video retrieval and browsing using the feature data set are presented in detail as functions of an integrated system. © 1997 Pattern Recognition Society. Published by Elsevier Science Ltd.
Source Title: Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/111138
ISSN: 00313203
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

101
checked on Mar 28, 2020

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.