Image Retrieval and Re-Ranking Techniques - A Survey

Abstract

There is a huge amount of research work focusing on the searching, retrieval and re-ranking of images in the image database. The diverse and scattered work in this domain needs to be collected and organized for easy and quick reference. Relating to the above context, this paper gives a brief overview of various image retrieval and re-ranking techniques. Starting with the introduction to existing system the paper proceeds through the core architecture of image harvesting and retrieval system to the different Re-ranking techniques. These techniques are discussed in terms of approaches, methodologies and findings and are listed in tabular form for quick review. KEYWORDS Image Retrieval, Re-ranking, MI learning, Ontology, Multi-latent vector.