Paper Info
Title
Enhanced video browsing using automatically extracted audio excerpts
Abstract
We present a method for rapidly and robustly extracting audio excerpts without the overhead of speech recognition or speaker segmentation. An immediate application is to automatically augment keyframe-based video summaries with informative audio excerpts associated with the video segments represented by the keyframes. Short audio clips combined with keyframes comprise an extremely lightweight and Web-browsable interface for auditioning video or similar media, without using bandwidth-intensive streaming video or audio.
Year
DOI
Venue
2002
10.1109/ICME.2002.1035604
Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference  
Keywords
Field
DocType
audio signal processing,feature extraction,image retrieval,image segmentation,video databases,video signal processing,Manga system,Web-browsable interface,audio clips,audio excerpts,automatically augment keyframe-based video summaries,automatically extracted audio excerpts,bandwidth-intensive audio streaming,bandwidth-intensive video streaming,keyframes,multimedia browsing,multimedia documents,video browsing,video media auditioning,video segmentation,video segments
Video browsing,Computer vision,Video processing,Video capture,Audio mining,Computer science,Non-linear editing system,Speech recognition,Video tracking,Smacker video,Artificial intelligence,Audio signal processing
Conference
Volume
Citations 
PageRank 
2
2
1.00
References 
Authors
8
3
Name
Order
Citations
PageRank
Jonathan Foote11625176.16
Matthew Cooper279876.01
Lynn Wilcox31330180.16