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.
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;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394403
