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Gaze Information Channel in Van Gogh’s Paintings

College of Intelligence and Computing, Tianjin University, Yaguan Road 135, Tianjin 300350, China
Institute of Informatics and Applications, University of Girona, 17003 Girona, Spain
Authors to whom correspondence should be addressed.
Entropy 2020, 22(5), 540;
Received: 4 April 2020 / Revised: 2 May 2020 / Accepted: 4 May 2020 / Published: 12 May 2020
This paper uses quantitative eye tracking indicators to analyze the relationship between images of paintings and human viewing. First, we build the eye tracking fixation sequences through areas of interest (AOIs) into an information channel, the gaze channel. Although this channel can be interpreted as a generalization of a first-order Markov chain, we show that the gaze channel is fully independent of this interpretation, and stands even when first-order Markov chain modeling would no longer fit. The entropy of the equilibrium distribution and the conditional entropy of a Markov chain are extended with additional information-theoretic measures, such as joint entropy, mutual information, and conditional entropy of each area of interest. Then, the gaze information channel is applied to analyze a subset of Van Gogh paintings. Van Gogh artworks, classified by art critics into several periods, have been studied under computational aesthetics measures, which include the use of Kolmogorov complexity and permutation entropy. The gaze information channel paradigm allows the information-theoretic measures to analyze both individual gaze behavior and clustered behavior from observers and paintings. Finally, we show that there is a clear correlation between the gaze information channel quantities that come from direct human observation, and the computational aesthetics measures that do not rely on any human observation at all. View Full-Text
Keywords: eye tracking; entropy; gaze information channel; Markov chain; computational aesthetics; Kolmogorov complexity; permutation entropy eye tracking; entropy; gaze information channel; Markov chain; computational aesthetics; Kolmogorov complexity; permutation entropy
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MDPI and ACS Style

Hao, Q.; Ma, L.; Sbert, M.; Feixas, M.; Zhang, J. Gaze Information Channel in Van Gogh’s Paintings. Entropy 2020, 22, 540.

AMA Style

Hao Q, Ma L, Sbert M, Feixas M, Zhang J. Gaze Information Channel in Van Gogh’s Paintings. Entropy. 2020; 22(5):540.

Chicago/Turabian Style

Hao, Qiaohong, Lijing Ma, Mateu Sbert, Miquel Feixas, and Jiawan Zhang. 2020. "Gaze Information Channel in Van Gogh’s Paintings" Entropy 22, no. 5: 540.

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