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
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;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.869644
