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On the other 22 Chapter 1 hand, query results can be refined to include more relevant candidates through the relevance feedback of users. Updating the retrieval results based on the user's feedback can be achieved by updating the images, the feature models, the weights of features in similarity distance, and select different similarity measures. Details will be introduced in Chapter 3. Although content-based retrieval provides an intelligent and automatic solution for efficient searching of images, the majority of current techniques are based on low level features.