A Survey on Visual Hashing and Indexing Techniques for Content-Based Image Retrieval

Abstract: Interest in the potential data and multimedia content retrieval has increased enormously over the last few years. Users in many professional fields are exploiting the opportunities offered by the ability to access and manipulate remotely-stored data�s in all kinds of new and exciting ways. Visual data hashing and indexing is an important technique for content based image and information retrieval, which is a part of information retrieval system. Content-based image retrieval (CBIR) systems are very effective in many types of applications. Despite extensive research efforts for decades, how to discover and incorporate semantic information of images still poses a formidable challenge to real-world CBIR systems. In this paper, we surveys the tools and techniques are used to perform content based image and information retrieval.

Keywords: Content-based Image Retrieval, Information Retrieval, Data Mining, Semantics Modeling, Hashing, Indexing.