A compact image signature for RTS-invariant image retrieval
Pratim Ghosh*, B.S.Manjunath$, K.R.Ramakrishnan*
*Indian Institute of Science, Bangalore, India, (prathim,krr [at] ee.iisc.ernet.in) ,
$University of California Santa Barbara, USA, (manj [at] ece.ucsb.edu).
*Indian Institute of Science, Bangalore, India, (prathim,krr [at] ee.iisc.ernet.in) ,
$University of California Santa Barbara, USA, (manj [at] ece.ucsb.edu).
Abstract
In this paper we propose a novel framework to obtain a very compact image signature (32 bits) which is invariant to rotation, translation, scaling and other minor perturbations like smoothing, random noise addition, JPEG compression etc. The framework involves Fourier-Mellin transform, conventional PCA and non-uniform scalar quantization. The high retrieval efficiency and low space consumption demonstrates the significance of our signature in duplicate image retrieval and large image database indexing.
IEE International Conference on Visual Information Engineering (VIE 2006), Bangalore, India, Sep. 2006.
Node ID: 450 ,
DB ID: 254 ,
Lab: VRL ,
Target: Proceedings
Subject: [Object-Based Retrieval] « Look up more