Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval
نویسندگان
چکیده
Relevance feedback has been shown as a powerful tool to improve the retrieval performance of content-based image retrieval (CBIR). However, the feedback iteration process is tedious and time-consuming. History log consists of valuable information about previous users’ perception of the content of image and such information can be used to accelerate the feedback iteration process and enhance the retrieval performance. In this paper, a novel algorithm to collect and compute the log-based relevance of the images is proposed. We utilize the multi-level structure of log-based relevance and fully mine previous users’ perception of content of images in log. Experimental results show that our algorithm is effective and outperforms previous schemes.
منابع مشابه
Research on Multi-level Log-based Relevance Feedback Scheme for Image Retrieval
Content-based Image Retrieval (CBIR) using relevance feedback technique is applied to improve the results of traditional techniques in image retrieval. Since the results returned by system cannot fully satisfy users and the iteration process of feedback can be very time-consuming and tedious, log-based relevance feedback is introduce to the system. In previous work, we have already introduced m...
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