Please use this identifier to cite or link to this item:
|Title:||Hierarchical, non-uniform locality sensitive hashing and its application to video identification||Authors:||Yang, Z.
|Issue Date:||2004||Citation:||Yang, Z.,Ooi, W.T.,Sun, Q. (2004). Hierarchical, non-uniform locality sensitive hashing and its application to video identification. 2004 IEEE International Conference on Multimedia and Expo (ICME) 1 : 743-746. ScholarBank@NUS Repository.||Abstract:||Searching for similar video clips in large video database, or video identification, requires finding nearest neighbor in high-dimensional feature space. Locality sensitive hashing, or LSH, is a well-known indexing method that allows us to efficiently find approximate nearest neighbor in such space. In this paper, we address two weaknesses of LSH when applied to the video identification problem. We propose two enhancements to LSH, and show that our enhancements improve the performance of LSH significantly in terms of efficiency and accuracy.||Source Title:||2004 IEEE International Conference on Multimedia and Expo (ICME)||URI:||http://scholarbank.nus.edu.sg/handle/10635/40643||ISBN:||0780386035|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 17, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.