Title :
Comparison and combination of two novel commercial detection methods
Author :
Duygulu, P. ; Chen, Ming-yu ; Hauptmann, Alexander
Author_Institution :
Dept. of Comput. Eng., Bilkent Univ., Ankara
Abstract :
Detection and removal of commercials plays an important role when searching for important broadcast news video material. Two novel approaches are proposed based on two distinctive characteristics of commercials, namely, repetitive use of commercials over time and distinctive color and audio features. Furthermore, proposed strategies for combining the results of the two methods yield even better performance. Experiments show over 90% recall and precision on a test set of 5 hours of ABC and CNN broadcast news data
Keywords :
audio signal processing; feature extraction; image colour analysis; video signal processing; audio features; broadcast news video; color features; commercials detection; repetitive use; Cellular neural networks; Detection algorithms; Detectors; Digital video broadcasting; Gunshot detection systems; Pattern matching; Production; TV broadcasting; Testing; USA Councils;
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.2004.1394454
