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Kernel Codebooks for Scene Categorization.
- Source :
- Computer Vision - ECCV 2008 (9783540886891); 2008, p696-709, 14p
- Publication Year :
- 2008
-
Abstract
- This paper introduces a method for scene categorization by modeling ambiguity in the popular codebook approach. The codebook approach describes an image as a bag of discrete visual codewords, where the frequency distributions of these words are used for image categorization. There are two drawbacks to the traditional codebook model: codeword uncertainty and codeword plausibility. Both of these drawbacks stem from the hard assignment of visual features to a single codeword. We show that allowing a degree of ambiguity in assigning codewords improves categorization performance for three state-of-the-art datasets. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540886891
- Database :
- Complementary Index
- Journal :
- Computer Vision - ECCV 2008 (9783540886891)
- Publication Type :
- Book
- Accession number :
- 76727417
- Full Text :
- https://doi.org/10.1007/978-3-540-88690-7_52