%0 Journal Article %1 IJACSA.2013.040807 %A A. Srinagesh Lavanya Thota, G.P.Saradhi Varma A.Govardhan %D 2013 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K CBIR; Expansion; Feedback; Image Movement. Navigation Patterns; Point Query Relevance Retrieval; Reweighting; %N 8 %T User-Based Interaction for Content-Based Image Retrieval by Mining User Navigation Patterns. %U http://ijacsa.thesai.org/ %V 4 %X In Internet, Multimedia and Image Databases image searching is a necessity. Content-Based Image Retrieval (CBIR) is an approach for image retrieval. With User interaction included in CBIR with Relevance Feedback (RF) techniques, the results are obtained by giving more number of iterative feedbacks for large databases is not an efficient method for real- time applications. So, we propose a new approach which converges rapidly and can aptly be called as Navigation Pattern-Based Relevance Feedback (NPRF) with User-based interaction mode. We combined NPRF with RF techniques with three concepts viz., query Re-weighting (QR), Query Expansion (QEX) and Query Point Movement (QPM). By using, these three techniques efficient results are obtained by giving a small number of feedbacks. The efficiency of the proposed method with results is proved by calculating Precision, Recall and Evaluation measures.

@article{IJACSA.2013.040807, abstract = {In Internet, Multimedia and Image Databases image searching is a necessity. Content-Based Image Retrieval (CBIR) is an approach for image retrieval. With User interaction included in CBIR with Relevance Feedback (RF) techniques, the results are obtained by giving more number of iterative feedbacks for large databases is not an efficient method for real- time applications. So, we propose a new approach which converges rapidly and can aptly be called as Navigation Pattern-Based Relevance Feedback (NPRF) with User-based interaction mode. We combined NPRF with RF techniques with three concepts viz., query Re-weighting (QR), Query Expansion (QEX) and Query Point Movement (QPM). By using, these three techniques efficient results are obtained by giving a small number of feedbacks. The efficiency of the proposed method with results is proved by calculating Precision, Recall and Evaluation measures.}, added-at = {2014-02-21T08:00:08.000+0100}, author = {{A. Srinagesh Lavanya Thota}, G.P.Saradhi Varma A.Govardhan}, biburl = {https://www.bibsonomy.org/bibtex/2543c137819d57c909c87d2766a4da4b3/thesaiorg}, interhash = {46504d571efa900365233489443f36d1}, intrahash = {543c137819d57c909c87d2766a4da4b3}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {CBIR; Expansion; Feedback; Image Movement. Navigation Patterns; Point Query Relevance Retrieval; Reweighting;}, number = 8, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{User-Based Interaction for Content-Based Image Retrieval by Mining User Navigation Patterns.}}, url = {http://ijacsa.thesai.org/}, volume = 4, year = 2013 }