Title :
Searching for a specific person in broadcast news video
Author :
Chen, Ming-yu ; Hauptmann, Alexander
Author_Institution :
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
People as news subjects play an important role in broadcast news and finding a specific person is a major challenge for multimedia retrieval. Beyond mere content-based general retrieval, this task requires exploitation of the structure, time sequence and meaning of news content. We introduce a comprehensive approach to discovering clues for finding a specific person in broadcast news video. Various information aspects are investigated, including text information, timing information, scene detection, and face recognition. Experimental results on the TREC 2003 video search task show that our approach can achieve surprisingly high performance by exploiting broadly diverse information to find specific named people.
Keywords :
content-based retrieval; face recognition; feature extraction; image retrieval; multimedia systems; query formulation; television broadcasting; text analysis; video databases; video signal processing; broadcast news video; content-based retrieval; face recognition; multimedia retrieval; scene detection; specific person searching; text information; timing information; Broadcasting; Content based retrieval; Face recognition; Frequency; Image retrieval; Image segmentation; Information retrieval; Layout; Multimedia communication; Timing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326725
