DocumentCode
427125
Title
Detection of TV news monologues by style analysis
Author
Snoek, Cees G M ; Worring, Marcel ; Hauptmann, Alexander G.
Author_Institution
Intelligent Sensory Inf. Syst., Amsterdam Univ.
Volume
2
fYear
2004
fDate
30-30 June 2004
Firstpage
1103
Abstract
We propose a method for detection of semantic concepts in produced video based on style analysis. Recognition of concepts is done by applying a classifier ensemble to the detected style elements. As a case study we present a method for detecting the concept of news subject monologues. Our approach had the best average precision performance amongst 26 submissions in the 2003 TRECVID benchmark
Keywords
content-based retrieval; database indexing; feature extraction; multimedia databases; television production; video databases; 2003 TRECVID benchmark; TV news monologues; classifier ensemble; concept recognition; performance; produced video; semantic concepts detection; style analysis; Bridges; Context; Data mining; Face detection; Indexing; Information analysis; Information systems; Intelligent sensors; Intelligent systems; TV;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location
Taipei
Print_ISBN
0-7803-8603-5
Type
conf
DOI
10.1109/ICME.2004.1394403
Filename
1394403
Link To Document