講演名 | 2009-03-14 A supervised LPP and Neural Network based Scene classification with Color Histogram and Camera Metadata , |
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抄録(英) | Scene classification (e.g., landscape, sunset, night-landscape, etc.) is still a challenging problem in computer vision. Scene classification based only on low-level vision cues has had limited success on unconstrained image sets. In other hand, camera metadata related to capture conditions provides cues independent of the captured scene content that can be used to improve classification performance. Analysis of camera metadata statistics for images of each class revealed that some metadata fields are most discriminative for some classes. So, in this paper, we proposed to use the combined feature of scene color histogram and camera metadata, and then using supervised Locality preserving projection (LPP) for feature space transformation and dimension reduction, and finally, adapt Probabilistic neural network for scene classification. Experimental results show that the classification accuracy rate can be improved compared with using PCA (Principal Component Analysis) subspace learning method, and are also better than that with only the low-level vision feature (color histogram). |
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キーワード(英) | Windows / Word / Technical Report / Template |
資料番号 | PRMU2008-278 |
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研究会 | PRMU |
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開催期間 | 2009/3/6(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) | A supervised LPP and Neural Network based Scene classification with Color Histogram and Camera Metadata |
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キーワード(1)(和/英) | / Windows |
第 1 著者 氏名(和/英) | / Xian-Hua HAN |
第 1 著者 所属(和/英) | College of Information Science and Engineering, Ritsumeikan University |
発表年月日 | 2009-03-14 |
資料番号 | PRMU2008-278 |
巻番号(vol) | vol.108 |
号番号(no) | 484 |
ページ範囲 | pp.- |
ページ数 | 6 |
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