Abstract
This paper presents the gaze information channel. Using the fact that eye tracking fixation sequences through areas of interest (AOI) have been previously modeled as a Markov chain, we go further by using the fact that a Markov chain is a special case of information, or communication, channel. Thus, the Markov chain quantities of entropy of the equilibrium distribution and conditional entropy are enriched for interpretation of the gaze sequences with the additional quantities of the information channel, such as joint entropy, mutual information and conditional entropy of each area of interest. We illustrate the gaze channel with several examples using Van Gogh paintings. Our preliminary results show that the channel quantities can be given a coherent interpretation to both classify the observers and the artworks.
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Acknowledgements
This work has been partially funded by the National Natural Science Foundation of China (grants Nos. 61571439, 61471261 and 61771335), and by grant TIN2016-75866-C3-3-R from the Spanish Government.
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Ma, L., Sbert, M., Feixas, M. (2018). Gaze Information Channel. In: Hong, R., Cheng, WH., Yamasaki, T., Wang, M., Ngo, CW. (eds) Advances in Multimedia Information Processing – PCM 2018. PCM 2018. Lecture Notes in Computer Science(), vol 11166. Springer, Cham. https://doi.org/10.1007/978-3-030-00764-5_53
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DOI: https://doi.org/10.1007/978-3-030-00764-5_53
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