Compressed Histogram of Gradients: A Low-Bitrate Descriptor

TLDR: A framework for computing low bit-rate feature descriptors with a 20× reduction in bit rate compared to state-of-the-art descriptors is proposed and it is shown how to efficiently compute distances between descriptors in the compressed domain eliminating the need for decoding.

Abstract: Establishing visual correspondences is an essential component of many computer vision problems, which is often done with local feature-descriptors Transmission and storage of these descriptors are of critical importance in the context of mobile visual search applications We propose a framework for computing low bit-rate feature descriptors with a 20× reduction in bit rate compared to state-of-the-art descriptors The framework offers low complexity and has significant speed-up in the matching stage We show how to efficiently compute distances between descriptors in the compressed domain eliminating the need for decoding We perform a comprehensive performance comparison with SIFT, SURF, BRIEF, MPEG-7 image signatures and other low bit-rate descriptors and show that our proposed CHoG descriptor outperforms existing schemes significantly over a wide range of bitrates We implement the descriptor in a mobile image retrieval system and for a database of 1 million CD, DVD and book covers, we achieve 96% retrieval accuracy using only 4 KB of data per query image