Hierarchical, non-uniform locality sensitive hashing and its application to video identification

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.