Image Retrieval and Re-Ranking Techniques - A Survey

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.

[1]  Qi Tian,et al.  Refining image retrieval using one-class classification , 2009, 2009 IEEE International Conference on Multimedia and Expo.

[2]  Aidong Zhang,et al.  Block-oriented image decomposition and retrieval in image database systems , 1996, Proceedings of International Workshop on Multimedia Database Management Systems.

[3]  Jose A. Piedra-Fernández,et al.  An ontology-based modeling of an ocean satellite image retrieval system , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[4]  K.A. Shaheer Abubacker,et al.  Attribute associated image retrieval and similarity reranking , 2010, 2010 International Conference on Communication and Computational Intelligence (INCOCCI).

[5]  Andrew Zisserman,et al.  Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[6]  Xian-Sheng Hua,et al.  Active Reranking for Web Image Search , 2010, IEEE Transactions on Image Processing.

[7]  Ivor W. Tsang,et al.  Improving Web Image Search by Bag-Based Reranking , 2011, IEEE Transactions on Image Processing.

[9]  Alan Hanjalic,et al.  Prototype-Based Image Search Reranking , 2012, IEEE Transactions on Multimedia.

[10]  Nenghai Yu,et al.  Image Search Result Clustering and Re-Ranking via Partial Grouping , 2007, 2007 IEEE International Conference on Multimedia and Expo.

[11]  Soo-Chang Pei,et al.  Extracting color features and dynamic matching for image database retrieval , 1999, IEEE Trans. Circuits Syst. Video Technol..

[12]  E. Merzari,et al.  Large-Scale Simulations on Thermal-Hydraulics in Fuel Bundles of Advanced Nuclear Reactors , 2007 .

[13]  Peter Stanchev,et al.  Content-Based Image Retrieval Systems , 2001 .

[14]  Vidit Jain,et al.  Learning to re-rank: query-dependent image re-ranking using click data , 2011, WWW.

[15]  Muhammad Ikram,et al.  Image Retrieval in Multimedia Databases: A Survey , 2009, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.