Contour Detection-based Discovery of Mid-level Discriminative Patches for Scene Classification
dc.contributor.author | Yang, Jinfu | |
dc.contributor.author | Zhang, Jizhao | |
dc.contributor.author | Wang, Guanghui | |
dc.contributor.author | Li, Mingai | |
dc.date.accessioned | 2017-09-22T19:30:31Z | |
dc.date.available | 2017-09-22T19:30:31Z | |
dc.date.issued | 2017-05-15 | |
dc.identifier.citation | Yang, J., Zhang, J., Wang, G., & Li, M. (2016). Contour Detection-Based Discovery of Mid-Level Discriminative Patches for Scene Classification. International Journal of Advanced Robotic Systems, 13(1), 30. doi:10.5772/62266 | en_US |
dc.identifier.uri | http://hdl.handle.net/1808/25008 | |
dc.description.abstract | Feature extraction and representation is a key step in scene classification. In this paper, a contour detection-based mid-level features learning method is proposed for scene classification. First, a sketch tokens-based contour detection scheme is proposed to initialize seed blocks for learning mid-level patches and the patches with more contour pixels are selected as seed blocks. The procedure is demonstrated to be helpful for scene classification. Next, the seed blocks are employed to train an exemplar SVM to discover other similar occurrences and an entropy-rank criterion is utilized to mine the discriminative patches. Finally, scene categories are identified by matching the discriminative patches and testing images. Extensive experiments on the MIT Indoor-67 dataset, the 15-scene dataset and the UIUC-sports dataset show that the proposed approach yields better performance than other state-of-the-art counterparts. | en_US |
dc.publisher | Thieme Publishing | en_US |
dc.rights | This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0 | en_US |
dc.subject | Mid-level Feature | en_US |
dc.subject | Scene Classification | en_US |
dc.subject | Sketch Tokens | en_US |
dc.subject | Contour Detection | en_US |
dc.title | Contour Detection-based Discovery of Mid-level Discriminative Patches for Scene Classification | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Wang, Guanghui | |
kusw.kudepartment | Electrical Engineering and Computer Science | en_US |
dc.identifier.doi | 10.5772/62266 | en_US |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.rights.accessrights | openAccess |
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Except where otherwise noted, this item's license is described as: This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.