DocumentCode
2304130
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
Volume
2
fYear
2003
fDate
14-17 Sept. 2003
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7750-8
Type
conf
DOI
10.1109/ICIP.2003.1246735
Filename
1246735
Link To Document