dc.contributor.authorJiang, Yuning
dc.contributor.authorMeng, Jingjing
dc.contributor.authorYuan, Junsong
dc.date.accessioned2013-11-29T02:52:10Z
dc.date.available2013-11-29T02:52:10Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationJiang, Y., Meng, J., Yuan, J. (2012). Randomized Visual Phrases for Object Search. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3100-3107.en_US
dc.identifier.urihttp://hdl.handle.net/10220/17893
dc.description.abstractAccurate matching of local features plays an essential role in visual object search. Instead of matching individual features separately, using the spatial context, e.g., bundling a group of co-located features into a visual phrase, has shown to enable more discriminative matching. Despite previous work, it remains a challenging problem to extract appropriate spatial context for matching. We propose a randomized approach to deriving visual phrase, in the form of spatial random partition. By averaging the matching scores over multiple randomized visual phrases, our approach offers three benefits: 1) the aggregation of the matching scores over a collection of visual phrases of varying sizes and shapes provides robust local matching; 2) object localization is achieved by simple thresholding on the voting map, which is more efficient than subimage search; 3) our algorithm lends itself to easy parallelization and also allows a flexible trade-off between accuracy and speed by adjusting the number of partition times. Both theoretical studies and experimental comparisons with the state-of-the-art methods validate the advantages of our approach.en_US
dc.format.extent8 p.en_US
dc.language.isoenen_US
dc.rights© 2012 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. The published version is available at: [http://dx.doi.org/10.1109/CVPR.2012.6248042].en_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
dc.titleRandomized visual phrases for object searchen_US
dc.typeConference Paper
dc.contributor.conferenceIEEE Conference on Computer Vision and Pattern Recognition (2012 : Providence, Rhode Island, US)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1109/CVPR.2012.6248042
dc.description.versionAccepted versionen_US


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