Duygulu, PınarChen, M.-Y.Hauptmann, A.2016-02-082016-02-082004-06http://hdl.handle.net/11693/27417Date of Conference: 27-30 June 2004Conference name: IEEE International Conference on Multimedia and Expo (ICME), 2004Detection and removal of commercials plays an important role when searching for important broadcast news video material. In this study, 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.EnglishAlgorithmsHeuristic methodsImage analysisMathematical modelsPattern matchingVectorsWeb browsersCommercial detection methodsHeuristic pattern matchingVideo materialsBroadcastingConference Paper10.1109/ICME.2004.1394454