• Ashwini Kalpande
• Shivani Chopade
• Payal Pawar
• Sanchali Ingle
• Prof. P.N.Mundhare

Image retrieval is the basic idea behind the concept which reduces the gap between representation and query processing for image search re-ranking. Click based data can be viewed from feedback from users that is click done by the previous user with different login so that it reduces the complexity of the re ranking techniques. As we know it is very essential part of today’s methodology to make availability of a data any instant and to achieve that part it becomes necessary to store the history not in form of cookies but in searching pattern. Visual re ranking has become a well-liked analysis topic in each multimedia retrieval and laptop vision communities since it provides potentialities for considering the visual sense in the existing image search engines during a light-weight fashion. It is used to make the improvisation among collected information and create the appropriate data for searching cluster pattern.

Visual, Multimedia, Retrieval, Acquisition, Re ranking.

"RE-RANKING OF IMAGES USING K-MEANS CLUSTERING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.138-142, April-2019, Available :http://www.jetir.org/papers/JETIRBD06028.pdf

"RE-RANKING OF IMAGES USING K-MEANS CLUSTERING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp138-142, April-2019, Available at : http://www.jetir.org/papers/JETIRBD06028.pdf