Detail of Publication
| Text Language | Japanese |
|---|---|
| Authors | Katsufumi Inoue, Koichi Kise |
| Title | Memory Reduction Method for Specific Object Recognition with the BloomierFilter and Its Experimental Evaluation |
| Journal | Trans. IEICE |
| Vol. | J93-D |
| No. | 8 |
| Pages | pp.1407-1416 |
| Reviewed or not | Reviewed |
| Month & Year | August 2010 |
| Abstract | Reduction of the amount of memory is an important issue for specific object recognition. The bag-of-features representation (BOF) based on vector quantization of feature vectors is known to be effective for the reduction. However, BOF also reduces the discriminative power of feature vectors, which results in lowering the recognition accuracy. To solve this problem, we propose a new memory reduction method using the Bloomier filter which is a probabilistic and compact data structure for storing a large amount of feature vectors. Experimental results show that the proposed method achieves 1/2 or more reduction as compared with conventional methods. |
- Note
PDF file is available at IEICE Transactions online (in Japanese). - Entry for BibTeX
@Article{Inoue2010, author = {Katsufumi Inoue and Koichi Kise}, title = {Memory Reduction Method for Specific Object Recognition with the BloomierFilter and Its Experimental Evaluation}, journal = {Trans. IEICE}, year = 2010, month = aug, volume = {J93-D}, number = {8}, pages = {1407--1416} }