Local Dependencies for near-duplicate retrieva
Image representation plays an important part in many real-world multimedia ap- plications. Over the past few years, great progresses have been achieved in this area. For example, Bag-of-Words (BOW) model is widely used in object recognition and image retrieval. However, these models do not consider...
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sg-ntu-dr.10356-536442023-03-04T00:41:42Z Local Dependencies for near-duplicate retrieva Cheng, Xiangang Chia Liang Tien School of Computer Engineering DRNTU::Engineering::Computer science and engineering Image representation plays an important part in many real-world multimedia ap- plications. Over the past few years, great progresses have been achieved in this area. For example, Bag-of-Words (BOW) model is widely used in object recognition and image retrieval. However, these models do not consider the spatial information suffi- ciently and have severely limited descriptive ability. It is obvious the both objects and scenes have their own structures. Treating local features as independent factors will lose information, thus result in bad results. Initial researches have shown that spatial constrains play an important role in a good model for image recognition and retrieval. DOCTOR OF PHILOSOPHY (SCE) 2013-06-06T07:36:13Z 2013-06-06T07:36:13Z 2012 2012 Thesis Cheng, X. (2012). Local Dependencies for near-duplicate retrieval. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/53644 10.32657/10356/53644 en 134 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Cheng, Xiangang Local Dependencies for near-duplicate retrieva |
| description |
Image representation plays an important part in many real-world multimedia ap- plications. Over the past few years, great progresses have been achieved in this area. For example, Bag-of-Words (BOW) model is widely used in object recognition and image retrieval. However, these models do not consider the spatial information suffi- ciently and have severely limited descriptive ability. It is obvious the both objects and scenes have their own structures. Treating local features as independent factors will lose information, thus result in bad results. Initial researches have shown that spatial constrains play an important role in a good model for image recognition and retrieval. |
| author2 |
Chia Liang Tien |
| author_facet |
Chia Liang Tien Cheng, Xiangang |
| format |
Theses and Dissertations |
| author |
Cheng, Xiangang |
| author_sort |
Cheng, Xiangang |
| title |
Local Dependencies for near-duplicate retrieva |
| title_short |
Local Dependencies for near-duplicate retrieva |
| title_full |
Local Dependencies for near-duplicate retrieva |
| title_fullStr |
Local Dependencies for near-duplicate retrieva |
| title_full_unstemmed |
Local Dependencies for near-duplicate retrieva |
| title_sort |
local dependencies for near-duplicate retrieva |
| publishDate |
2013 |
| url |
https://hdl.handle.net/10356/53644 |
| _version_ |
1759855150251376640 |