IMAGE COMPLEXITY MEASURE BASED ON VISUAL ATTENTION

Abstract : Digital images can be analyzed at wide range of levels going from pixel arrangement to semantics. As a consequence, finding a visual complexity estimator is a difficult task. In this article we propose a definition of attention based perceptual complexity. We study the performance of human eye movements and of different models of computational attention against a ground-truth of image complexity based on the observation time of an image description task. The results obtained show that besides its lack of semantic processing, attentional behavior is a good estimator of image complexity.
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https://hal.archives-ouvertes.fr/hal-00617725
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Submitted on : Tuesday, October 18, 2011 - 4:06:59 PM
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Matthieu Perreira da Silva, Vincent Courboulay, Pascal Estraillier. IMAGE COMPLEXITY MEASURE BASED ON VISUAL ATTENTION. IEEE International Conference on Image Processing - ICIP, Sep 2011, Bruxelles, Belgium. pp.3281-3284. ⟨hal-00617725⟩

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