Prediction of relevance of an image from a scan pattern

Abstract

This report considers the task of inferring implicit relevance feedback from eye movements in image retrieval settings. The feasibility of solving the problem without using any image-level features is demonstrated on two different search settings, and the accuracy of inferring the relevance feedback is shown to be relatively high, clearly better than random. In addition, the report provides a list of image-level features that are good cues for relevance.

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