Paper Info
Title
Enhanced Video handling based on Audio Analysis
Abstract
Soundtracks of videos contain a rich source of content-based information. In this paper, we propose an audio-based approach to video indexing and handling. Audio data is analysed by means of frequency analysis, and music and voice are independently detected even if they occur together. The method is implemented on a system called Video in Time as an example of creating reasonable condensed versions of dramas or movies by excerpting meaningful video segments. Users can select the desired replaying time from several different levels, depending on how much time can be afforded for viewing. Detection rates for music and voice are evaluated and experiences with the system are mentioned
Year
DOI
Venue
1997
10.1109/MMCS.1997.609596
Ottawa, Ont.
Keywords
Field
DocType
network utilization,inherent burstiness,traffic smoothing,vbr video transmission,vbr video,enhanced video handling,smoothing method,audio analysis,connection cost,speech processing,layout,frequency analysis,image segmentation,telephony,drama,feature extraction,data analysis,data mining,music,indexing,voice,telegraphy,motion pictures,movies
Video capture,Computer science,Multiview Video Coding,Artificial intelligence,Smacker video,Video compression picture types,Computer vision,Video processing,Audio mining,Speech recognition,Video tracking,Audio analyzer,Multimedia
Conference
ISBN
Citations 
PageRank 
0-8186-7819-4
5
1.08
References 
Authors
16
4
Name
Order
Citations
PageRank
Kenichi Minami1435.71
Akihito Akutsu230877.61
Hiroshi Hamada371.44
Yoshinobu Tonomura4554149.46