Overview of the Multimedia Information Processing for Personality and Social Networks Analysis Contest - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

Overview of the Multimedia Information Processing for Personality and Social Networks Analysis Contest

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Abstract

Progress in the autonomous analysis of human behavior from multimodal information has lead to very effective methods able to deal with problems like action/gesture/activity recognition, pose estimation, opinion mining, user tailored retrieval, etc. However, it is only recently that the community has been starting to look into related problems associated with more complex behavior, including personality analysis, deception detection, among others. We organized an academic contest co-located with ICPR2018 running two tasks in this direction. On the one hand, we organized an information fusion task in the context of multi-modal image retrieval in social media. On the other hand, we ran another task in which we aim to infer personality traits from written essays, including textual and handwritten information. This paper describes both tasks, detailing for each of them the associated problem, data sets, evaluation metrics and protocol, as well as an analysis of the performance of simple baselines.
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Dates and versions

hal-01991599 , version 1 (23-01-2019)

Identifiers

  • HAL Id : hal-01991599 , version 1

Cite

Gabriela Ramírez, Esaú Villatoro, Bogdan Ionescu, Hugo Jair Escalante, Sergio Escalera, et al.. Overview of the Multimedia Information Processing for Personality and Social Networks Analysis Contest. International Conference on Pattern Recognition (ICPR), Aug 2018, Beijing, China. pp.127-139. ⟨hal-01991599⟩
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