Content-based image retrieval

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Description

“Content-based” means, the search will analyze the actual contents of the image rather than the metadata such as keywords,tags, associated with the image. CBIRis desirable becausemost web based image search engines rely purely on metadata and this produces a lot of unwanted material in the results.

Related Publication

1.Santosh Kumar Vipparthi, Subramanian Murala, Anil Balaji Gonde, Q. M. Jonathan Wu, Local Directional Mask Maximum Edge Patterns for Image Retrieval and Face Recognition, IET Computer Vision, (IEEE, IET), (2016) (Impact Factor 1.087).
2.Santosh Kumar Vipparthi, S. K. Nagar, Expert Image Retrieval system using Directional Local Motif XOR Patterns, Expert Systems with Applications, 41 (2014). 8016-8026. Elsevier (2014) (Impact Factor 3.928)
3.Santosh Kumar Vipparthi, Subrahmanyam Murala, S. K. Nagar and A. B. Gonde Local Gabor Maximum Edge Position Octal Patterns for Image Indexing and Retrieval, Neurocomputing, 167, 336:345. Elsevier, (Impact Factor 3.317)
4.Santosh Kumar Vipparthi, S. K. Nagar, "Dual directional Multi-Motif XOR Patterns: A new Descriptor for Image Indexing and Retrieval”, International Journal for Light and Electron Optics, 126 (15), 1467-1473. Elsevier (Impact Factor 0.835)
5.Santosh Kumar Vipparthi, S. K. Nagar,” Integration of Color and Local Derivative Pattern Features for Content-Based Image Indexing and Retrieval”, Journal of the Institution of Engineers (India): Series B, 96(3): 251:263, Springer (Accepted 2014). (DOI: 10.1007/s40031-014-0153-5)
6.Santosh Kumar Vipparthi, S. K. Nagar “Colored Directional Local Quinary Patterns for Multimedia Image Indexing and Retrieval”, Human-centric Computing and Information Sciences, 4:6, 2014. Springer (Published 2014)
7.Santosh Kumar Vipparthi, S. K. Nagar “Local Extreme Complete Trio Pattern for multimedia image retrieval system”, International Journal of Automation and Computing (IJAC), Springer (SCImago)
8.Santosh Kumar Vipparthi, S. K. Nagar, Directional Local Ternary Patterns for Multimedia Image Indexing and Retrieval. International Journal of Signal and Imaging Systems Engineering (IJSISE), 8 (3), 137-145, Inderscience,2015, (Scopus).
9. Santosh Kumar Vipparthi, S. K. Nagar,,” Multi-joint Histogram based Modelling for Image Indexing and Retrieval”, Computers and Electrical Engineering 40, pp. 163–173, Elsevier, 2014.
10. Sonakshi Sinha, Mallika Chowdhary, Hemanth Verma, Murari Mandal, Santosh Kumar Vipparthi, Subrahmanyam Murala, “Multi Channel distributed local pattern for content-based indexing and retrieval,” 14th IEEE India Council International Conference, (INDICON-17), 2017.
11. Anil Balaji Gonde, Subrahmanyam Murala, Santosh Kumar Vipparthi, Rudra Prakash, “3D Local Transform Patterns: A New Feature Descriptor for Image Retrieval,” International Conference on Computer Vision and Image Processing, 2016.
12. Santosh Kumar Vipparthi, S. K. Nagar “Directional Local Quinary Patterns for Multimedia Image Indexing and Retrieval”, in Proc. Intelligent Computing, Networking, and Informatics Advances in Intelligent Systems and Computing, 243, pp. 837-844, 2014.