| Presentation | 2012-09-02 q-Gaussian Mixture Models for Video Semantic Indexing Nakamasa INOUE, Koichi SHINODA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Gaussian mixture models (GMMs) which extend the bag-of-visual-words (BoW) to a probabilistic framework have been proved to be effective for image and video semantic indexing. Recently, the q-Gaussian distribution,which is derived in the non-extensive statistics, has been shown to be useful for representing patterns in manycomplex systems in physics such as fractals and cosmology. We propose q-Gaussian mixture models (q-GMMs),which are mixture models of q-Gaussian distributions, for image and video semantic indexing. It has a parameterq to control its tail-heaviness. The long-tailed distributions obtained for q > 1 are expected to effectively representcomplexly correlated data, and hence, to improve robustness against outliers. In our experiments, our proposedmethod outperformed the BoW method and achieved 49.4% and 10.9% in Mean Average Precision on the PASCALVOC 2010 dataset and the TRECVID 2010 Semantic Indexing dataset, respectively. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | video search / semantic indexing / Gaussian mixture model |
| Paper # | PRMU2012-34,IBISML2012-17 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2012/8/26(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | q-Gaussian Mixture Models for Video Semantic Indexing |
| Sub Title (in English) | |
| Keyword(1) | video search |
| Keyword(2) | semantic indexing |
| Keyword(3) | Gaussian mixture model |
| 1st Author's Name | Nakamasa INOUE |
| 1st Author's Affiliation | Department of Computer Science Tokyo Institute of Technology() |
| 2nd Author's Name | Koichi SHINODA |
| 2nd Author's Affiliation | Department of Computer Science Tokyo Institute of Technology |
| Date | 2012-09-02 |
| Paper # | PRMU2012-34,IBISML2012-17 |
| Volume (vol) | vol.112 |
| Number (no) | 197 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |