| Paper Abstract and Keywords |
| Presentation |
2012-02-20 09:20
Dimensionality Reduction of Sparse Visual Features via Recoverable Projection for Large-Scale Image Retrieval
Zaixing He, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
For a large-scale image database, a main problem with bag-of-features-based image retrieval is the huge memory usage when the visual vocabulary size is large. In this paper, we solve this problem by reducing the dimensionality of the corresponding high-dimensional sparse feature vector via a projection matrix: Permuted Block Diagonal matrix. Then the obtained low-dimensional vector, instead of the original high-dimensional feature vector, is used as a new feature vector for image retrieval. Furthermore, because of the sparse nature, the original high-dimensional feature vector can be recovered when necessary, e.g., reranking the top retrieved images. A fast sparse recovery algorithm, Cross Low-dimensional Pursuit, is used for recovering the high-dimensional feature vector. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Bag of features / recoverable projection / sparse recovery / permuted block diagonal matrix / cross low-dimensional pursuit / / / |
| Reference Info. |
ITE Tech. Rep., vol. 36, no. 9, ME2012-39, pp. 1-6, Feb. 2012. |
| Paper # |
ME2012-39 |
| Date of Issue |
2012-02-13 (HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 |
| Download PDF |
|
| Conference Information |
| Committee |
ME AIT HI IEICE-IE IEICE-ITS |
| Conference Date |
2012-02-20 - 2012-02-21 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
ME |
| Conference Code |
2012-02-ME-AIT-HI-IE-ITS |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Dimensionality Reduction of Sparse Visual Features via Recoverable Projection for Large-Scale Image Retrieval |
| Sub Title (in English) |
|
| Keyword(1) |
Bag of features |
| Keyword(2) |
recoverable projection |
| Keyword(3) |
sparse recovery |
| Keyword(4) |
permuted block diagonal matrix |
| Keyword(5) |
cross low-dimensional pursuit |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Zaixing He |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Takahiro Ogawa |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Miki Haseyama |
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Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2012-02-20 09:20:00 |
| Presentation Time |
20 minutes |
| Registration for |
ME |
| Paper # |
HI2012-1, ME2012-39, AIT2012-1 |
| Volume (vol) |
vol.36 |
| Number (no) |
no.9 |
| Page |
pp.1-6 |
| #Pages |
6 |
| Date of Issue |
2012-02-13 (HI, ME, AIT) |