講演名 | 2011-01-20 Object Retrieving from Image Database , |
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抄録(英) | This research focuses on developing a system that can retrieval objects from large image database by exploring the types of image features necessary for recognition of common objects in scene. Then we make global representation for these features that can be used in learning. After that, we figure out a novel method for generic object detecting in still images with automatically choosing feature. Our method is simple, computationally efficient and bases on features that is easily seen by naked-eye and very close with natural detecting by human. The main advantage of this method is that it can automatically choose features which are best for detecting one type of object. We present experimental results for detecting many visual categories including side view car, front view car, bike, motorbike, train, aero plane, horse, and sheep. Results clearly demonstrate that the proposed method is robust and produces good detection accuracy rate. |
キーワード(和) | |
キーワード(英) | Object Detection / Image Processing / Computer Vision |
資料番号 | PRMU2010-168,MVE2010-93 |
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研究会情報 | |
研究会 | MVE |
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開催期間 | 2011/1/13(から1日開催) |
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講演論文情報詳細 | |
申込み研究会 | Media Experience and Virtual Environment (MVE) |
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本文の言語 | ENG |
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タイトル(英) | Object Retrieving from Image Database |
サブタイトル(和) | |
キーワード(1)(和/英) | / Object Detection |
第 1 著者 氏名(和/英) | / Bao Nguyen Thien |
第 1 著者 所属(和/英) | Graduate School of Information Science and Engineering, Ritsumeikan University |
発表年月日 | 2011-01-20 |
資料番号 | PRMU2010-168,MVE2010-93 |
巻番号(vol) | vol.110 |
号番号(no) | 382 |
ページ範囲 | pp.- |
ページ数 | 6 |
発行日 |