Applying Feedback Mechanism for Content Based Image Retrieval Using Data Mining Technique
Vaishali Khandave, Nitin Kumar Mishra · 2011
A project that rigging and tests a simple color histogram based search and recover algorithm for images. The study finds the technique to be helpful as shown by analysis using the Rank Power measurement. The testing also highlights the weaknesses and strengths of the model, ultimate that the technique would have to be improved and customized in order for practical use. The aim of this paper to develop such a color histogram based categorization approach, which is well-organized, fast and enough strong. In the interest of this I used some characteristics of color histograms, and classified the images using these characteristics. The benefit of this approach is the relationship of histogram characteristics is much faster and well-organized than of other commonly used methods. Database search engines are generally used in a one-shot fashion in which a user provides query information to the system and, in return, the system provides a number of database instances to the user. A significance opinion system allows the user to indicate to the system which of these instances are attractive, or significant, and which are not. Based on this feedback, the system modifies its retrieval method in an attempt to return a more desirable instance set to the user.