| 講演名 | 2012-02-09 Informative Patches Sampling for Image Classification by Utilizing Bottom-up and Top-down Information , |
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| 抄録(英) | In image classification based on bag of visual words framework, image patches used for creating image representations affect the classification performance significantly. However, currently, image patches are sampled mainly based on processing low-level image information or just extracted regularly or randomly. These methods are not effective. In this report, we propose to explore both bottom-up information through processing low-level image information and top-down information through utilizing the statistical properties of training image grids to extract image patches. In the proposed work, an input image is divided into regular grids, each of which is evaluated based on its bottom-up information and/or top-down information. Subsequently, a saliency value is assigned to every grid based on the evaluation results, so that a saliency map can be created for the input image. Finally, the sampling of image patches is performed on the basis of the obtained saliency map. Furthermore, we propose a method to fuse the two kinds of information. The proposed methods are evaluated on both object categories and scene categories. Experiment results demonstrate their effectiveness. |
| キーワード(和) | |
| キーワード(英) | Image classification / Patch sampling / Bottom up / Top down |
| 資料番号 | PRMU2011-200,SP2011-115 |
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| 研究会情報 | |
| 研究会 | PRMU |
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| 開催期間 | 2012/2/2(から1日開催) |
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| 申込み研究会 | Pattern Recognition and Media Understanding (PRMU) |
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| 本文の言語 | ENG |
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| タイトル（英） | Informative Patches Sampling for Image Classification by Utilizing Bottom-up and Top-down Information |
| サブタイトル（和） | |
| キーワード(1)（和/英） | / Image classification |
| 第 1 著者 氏名（和/英） | / Shuang BAI |
| 第 1 著者 所属（和/英） | Graduate School of Information Science, Nagoya University |
| 発表年月日 | 2012-02-09 |
| 資料番号 | PRMU2011-200,SP2011-115 |
| 巻番号（vol） | vol.111 |
| 号番号（no） | 430 |
| ページ範囲 | pp.- |
| ページ数 | 8 |
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