Paper Info
Title
Compressed Domain Summarization of Digital Video
Abstract
Video data is usually voluminous and it is desirable that one be able to get a quick idea of the content before actually watching a video or downloading it from the web. In this paper, we present a video summarization algorithm that works in the compressed domain, in particular MPEG videos. The algorithm is based on an existing one used in the uncompressed domain. To adapt it for MPEG videos, we make use of a feature known as DC histogram that can be extracted from MPEG videos without fill decompression. A video summarizer based on our algorithm is implemented and experiments are conducted to examine its effectiveness. Results show that the summarizer performs quite well to user expectations.
Year
DOI
Venue
2001
10.1007/3-540-45453-5_63
IEEE Pacific Rim Conference on Multimedia
Keywords
Field
DocType
digital video,video summarization algorithm,video summarizer,video data,fill decompression,user expectation,dc histogram,mpeg video,compressed domain summarization,particular mpeg video,quick idea,uncompressed domain
Computer vision,Automatic summarization,Block-matching algorithm,Video processing,Video capture,Computer science,Multiview Video Coding,Video tracking,Artificial intelligence,Video compression picture types,Uncompressed video
Conference
Volume
ISSN
ISBN
2195
0302-9743
3-540-42680-9
Citations 
PageRank 
References 
4
0.67
10
Authors
2
Name
Order
Citations
PageRank
Chorng-Meng Chew191.24
Mohan Kankanhalli23825299.56