| Presentation | 2016-09-05 Document image retrieval using P2-invariant Tomotaka Ohnishi, Yuji Oyamada, Kazu Mishiba, Katuya Kondo, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Given an image capturing a document, document image retrieval finds the closest image from a document image database. Typical solutions regard each word as a point and solve the retrieval as points-to-points matching. Locally Likely Arrangement Hashing (LLAH) uses affine/perspective invariants as feature and achieves real-time retrieval system based on hashing. LLAH contains a redundancy to solve the permutation ambiguity of points detected from an image. In this paper, we propose to introduce P2-invariant, perspective and permutation invariant, as feature for document image retrieval. Contrast to the existing methods, the proposed method solves the retrieval problem by 5-tuple-to-5-tuple matching technique. The experimental result shows the performance of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Document image retrieval / P2-invariant / projective invariant / permutation invariant |
| Paper # | PRMU2016-56,IBISML2016-11 |
| Date of Issue | 2016-08-29 (PRMU, IBISML) |
| Conference Information | |
| Committee | PRMU / IPSJ-CVIM / IBISML |
|---|---|
| Conference Date | 2016/9/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Eisaku Maeda(NTT) / / Kenji Fukumizu(ISM) |
| Vice Chair | Seiichi Uchida(Kyushu Univ.) / Hironobu Fujiyoshi(Chubu Univ.) / / Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.) |
| Secretary | Seiichi Uchida(Kyoto Univ.) / Hironobu Fujiyoshi(NTT) / / Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Nagoya Inst. of Tech.) |
| Assistant | Masaki Oonishi(AIST) / Takuya Funatomi(NAIST) / / Toshihiro Kamishima(AIST) / Tomoharu Iwata(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media / Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Document image retrieval using P2-invariant |
| Sub Title (in English) | |
| Keyword(1) | Document image retrieval |
| Keyword(2) | P2-invariant |
| Keyword(3) | projective invariant |
| Keyword(4) | permutation invariant |
| 1st Author's Name | Tomotaka Ohnishi |
| 1st Author's Affiliation | Tottori University(Tottori Univ.) |
| 2nd Author's Name | Yuji Oyamada |
| 2nd Author's Affiliation | Tottori University(Tottori Univ.) |
| 3rd Author's Name | Kazu Mishiba |
| 3rd Author's Affiliation | Tottori University(Tottori Univ.) |
| 4th Author's Name | Katuya Kondo |
| 4th Author's Affiliation | Tottori University(Tottori Univ.) |
| Date | 2016-09-05 |
| Paper # | PRMU2016-56,IBISML2016-11 |
| Volume (vol) | vol.116 |
| Number (no) | PRMU-208,IBISML-209 |
| Page | pp.pp.13-18(PRMU), pp.13-18(IBISML), |
| #Pages | 6 |
| Date of Issue | 2016-08-29 (PRMU, IBISML) |