Title :
Normalized classifier fusion for semantic visual concept detection
Author :
Tseng, Belle L. ; Lin, Ching Yung ; Naphade, Milind ; Natsev, Apostol ; Smith, John R.
Author_Institution :
IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA
Abstract :
In this paper, we describe our classifier fusion framework for the visual concept detections of NIST TREC-2002 video retrieval benchmark. A normalized ensemble fusion is explored to improve overall performance by incorporating normalization of confidence scores, aggregation via combiner function, and an optimize selection. The normalized classifier fusion shows significant detection improvements for our visual concepts.
Keywords :
benchmark testing; content-based retrieval; feature extraction; image retrieval; video databases; NIST TREC-2002; classifier fusion framework; semantic visual concept detection; video retrieval benchmark; Content based retrieval; Digital filters; Face detection; Feature extraction; Filtering; Gunshot detection systems; Histograms; Indexing; NIST; Testing;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1246735
