1. Relevance Feedback A relevance feedback mechanism for content- based image retrieval G. Ciocca, R. Schettini 1999

2. Weight Each query is different – Some interest in color – Some interest in shape – Some interest in a specific region Associate each feature with a weight

3. Image segmentation User may interest only in a particular region Divide image into different region Advantage – we can capture region of interest Disadvantage – the feature vector is longer

4. Query Modification The query image is not the target image user want We modify the query base on the feedback

5. Weight updating thro feedback How to estimate user s interest from feedback Base on the relevant images – If color of relevant images varies, the user might not interest in color – If feature vector of upper right corner are close, user might interest in that area

6. Overall Process A heuristic used in the 1 st iteration. If user makes a query that is similar to previous query, the weight vector will be used. Reduce time need to adapt the similarity measure