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Title:
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A PROBABILITY-BASED METRIC FOR RAPID RETRIEVAL OF EYE-GAZE DISTRIBUTION DATA |
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Author(s):
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Daisuke Sakurai, Shigeo Takahashi |
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ISBN:
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978-972-8939-74-8 |
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Editors:
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Yingcai Xiao |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Data retrieval, eye-tracking data, distributions of eye-gaze fixations, probability-based metrics. |
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Type:
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Short Paper |
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First Page:
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152 |
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Last Page:
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156 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this paper, we present a novel method for rapidly retrieving eye-gaze distributions that are similar to the user input. When analyzing images such as artistic paintings and photographs, the corresponding distributions of eye-gaze fixations provide useful information about the salient features embedded in the target images. Nonetheless, due to the lack of appropriate models for representing uncertainties in eye-gaze distributions, conventional retrieval techniques based on image processing do not fully allow us to identify similar distributions, and thus usually lead to time-consuming side-by-side visual comparison between eye-gaze fixation distributions that is error-prone. For facilitating such data retrieval, we introduce a probability-based metric together with a search algorithm for the distributions of eye-gaze fixations. The effectiveness of the proposed method has been tested through a user study, in which we compared the results by our system with those obtained through a user study. |
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Digital Library 
