Please use this identifier to cite or link to this item:
|Title:||A novel locality-sensitive hashing for large scale image retrieva||Authors:||Li, J.
|Issue Date:||1-Dec-2012||Citation:||Li, J.,Li, J.,Ni, B.,Yan, S. (2012-12-01). A novel locality-sensitive hashing for large scale image retrieva. Journal of Computational Information Systems 8 (23) : 9611-9617. ScholarBank@NUS Repository.||Abstract:||We introduce a method that enables fast image search with efficient additive kernels and kernel localitysensitive hashing. Recent work has explored ways to generalize locality-sensitive hashing to accommodate arbitrary kernel functions which preserve the algorithm's sub-linear time, however existing methods still do not solve the problem of locality-sensitive in locality-sensitive hashing (LSH) algorithm and indirectly sacrifice the loss in accuracy of search results in order to allow fast queries. To improve the search accuracy, we show how to use explicit feature maps for the additive class of homogeneous kernels, which help for feature transformation and combine it with kernel locality-sensitive hashing. We validate our technique on large-scale datasets, and show that it improve the accuracy relative to commonly used methods and enables accurate and fast performance for example-based object classification, feature matching, and content-based retrieval. ©2012 by Binary Information Press.||Source Title:||Journal of Computational Information Systems||URI:||http://scholarbank.nus.edu.sg/handle/10635/54620||ISSN:||15539105|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Nov 24, 2022
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.