DocumentCode
356698
Title
Content based annotation and retrieval of news videos
Author
Bertini, M. ; Del Bimbo, A. ; Pala, P.
Author_Institution
Dipt. Sistemi e Inf., Firenze Univ., Italy
Volume
1
fYear
2000
fDate
2000
Firstpage
483
Abstract
Effective retrieval and browsing by content of videos is based on high level information associated with visual data. Automatic extraction of high level content descriptors, requires to exploit the semantical characteristics of video types. In this paper a complete system for content based annotation and retrieval of news videos is presented, indexing of the video stream is fully automated and is based both on visual features extracted from video shots and on textual strings extracted from captions and speech
Keywords
content-based retrieval; feature extraction; multimedia databases; video databases; browsing; captions; content based annotation; content based retrieval; feature extraction; high level content descriptors; news videos; speech; textual strings; video database; video indexing; Content based retrieval; Data mining; Feature extraction; Indexing; Information retrieval; Multimedia computing; Prototypes; Speech; Streaming media; Videos;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location
New York, NY
Print_ISBN
0-7803-6536-4
Type
conf
DOI
10.1109/ICME.2000.869644
Filename
869644
Link To Document