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Research Article

An Emphasized Dual Similarity Measure Integration For Online Image Retrieval System Using Simrank


Author(s): R.RajKumar , M.Krishnamurthy
Affiliation: PG Scholar, Department of CSE, KCG College of Technology, Chennai, Tamil Nadu, India
Year of Publication: 2015
Source: International Journal of Computing Algorithm
     
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Citation: R.RajKumar, M.Krishnamurthy. "An Emphasized Dual Similarity Measure Integration For Online Image Retrieval System Using Simrank." International Journal of Computing Algorithm 4.1 (2015): 1-5.

Abstract:
In the real world scenario the use of image grows rapidly, the image rich network is the one that comprises of billions of images. The social media websites, such as Picasa, Flickr and Facebook comprises billions of end user posted images along with their annotations. Similarly the electronic commerce website such as Flipkart, Myntra and Amazon are also furnished with product related images. In this paper, we introduce how to perform efficient and optimum information retrieval in online image rich system.


Keywords Dual similarity, Image retrieval, simrank


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@article{AnE1586815, author = {R.RajKumar,M.Krishnamurthy}, title = {An Emphasized Dual Similarity Measure Integration For Online Image Retrieval System Using Simrank}, journal={International Journal of Computing Algorithm}, volume={4}, issue={1}, issn = {2278-2397}, year = {2015}, publisher = {Scholarly Citation Index Analytics-SCIA}

  • [1] Botterill, Mills, Green,”Speeded-Up Bag-Of-Words Algorithm for Robot Localization through Scene Recognition”, IEEE Conference on Image and Vision Computing,pp.1-6,Year 2008.
  • [2] Dmitry Lizorkin, PavelVelikhov, Maxim Grinev, Denis Turdakov, “Accuracy Estimate and Optimization Techniques for SimRank Computation”, The VLDB Journal, Volume 19, Issue 1, pp. 45-66, Year 2010.
  • [3] Greg Mori, Serge Belongie, Jitendra Malik, “Efficient Shape Matching Using Shape Context”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 27, Issue 11, p7p.1832-1837,Year 2005.
  • [4] Jinhui Tang, Haojie Li, Guo Jun Qi, Tat Seng Chua, “Image Annotation by Graph-Based Inference with Integrated Multiple/Single Instance Representations”, IEEE Transactions on Multimedia, Volume: 12, Issue: 2, pp131-141, Year 2010.
  • [5] KalervoJarvelin and JaanaKekalainen, “IR Evaluation Methods for Retrieving Highly Relevant Documents”, Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 41-48,Year 2008.
  • [6] Larry Page, Sergey Brin, Rajeev Motwani, and Terry Winograd, “The Pagerank Citation Ranking: Bringing Order to the Web”, technical report, Stanford University,Year 2008.
  • [7] Raghu Krishnapuram, SwarupMedasani, Sung Hwan Jung , Young Sik Choi, Rajesh Balasubramaniam, “Content-based image retrieval based on a fuzzy approach”,IEEE Transactions on Knowledge and Data Engineering Volume:16 Issue:10, pp. 1185-1199,Year 2010.
  • [8] ShumeetBaluja, Yushi Jing, “VisualRank: Applying PageRank to Large- Scale Image Search”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume: 30, Issue: 11, pp.1877-1890, Year 2008.
  • [9] Siddiquie, Feris, Davis, “Image Ranking and Retrieval based on Multi- Attribute Queries”, IEEE Conference on Computer Vision and Pattern Recognition, pp.801-808, Year 2011.
  • [10] Xin Jin, JieboLuo, Jie Yu, Gang Wang, Dhiraj Joshi and JiaweiHan,”Reinforced Similarity Integration in Image-Rich Information Networks”, IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 2, pp.448-460,Year 2013.

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