A Bag-of-Regions approach to Sketch-based Image Retrieval
Hu, R, Wang, T and Collomosse, J (2011) A Bag-of-Regions approach to Sketch-based Image Retrieval In: International Conference on Image Processing (ICIP), 2011-09-11 - ?.
Hu-ICIP-2011.pdf - Accepted version Manuscript
Available under License : See the attached licence file.
This paper presents a sketch-based image retrieval system using a bag-of-region representation of images. Regions from the nodes of a hierarchical region tree range in various scales of details. They have appealing properties for object level inference such as the naturally encoded shape and scale information of objects and the specified domains on which to compute features without being affected by clutter from outside the region. The proposed approach builds shape descriptor on the salient shape among the clutters and thus yields significant performance improvements over the previous results on three leading descriptors in Bag-of-Words framework for sketch based image retrieval. Matched region also facilitates the localization of sketched object within the retrieved image.
|Item Type:||Conference or Workshop Item (Conference Paper)|
|Divisions :||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing|
|Identification Number :||https://doi.org/10.1109/ICIP.2011.6116513|
|Additional Information :||© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||31 May 2012 11:25|
|Last Modified :||23 Sep 2013 19:30|
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