Paper Info
Title
Key image extraction from a news video archive for visualizing its semantic structure
Abstract
Recently, it has become possible to handle a large amount of video data with a video archive system. It is very important that a video data is structured based on semantics for useful access to a large video archive. Video data is consisted of images, sounds and texts. Therefore video data should be structured by using their information in multi-modality. In this paper, we introduce a method to extract the key images for visualizing the semantic structure of news video archive by analyzing semantic structure using both images and texts.
Year
DOI
Venue
2004
10.1007/978-3-540-30541-5_80
PCM (1)
Keywords
Field
DocType
key image extraction,large video archive,video archive system,video data,news video archive,large amount,key image,useful access,semantic structure
Information retrieval,Computer science,Video tracking,Image extraction,Key images,Multimedia,Semantics
Conference
Volume
ISSN
ISBN
3331
0302-9743
3-540-23974-X
Citations 
PageRank 
References 
4
0.49
3
Authors
6
Name
Order
Citations
PageRank
Hiroshi Mo17715.28
Fuminori Yamagishi2162.08
Ichiro Ide348190.49
Norio Katayama459680.72
Shin’ichi Satoh591.32
Masao Sakauchi6688149.27