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

Conference paper (2019)

Authors

Gabriela Ramírez Universidad Autónoma Metropolitana Unidad Cuajimalpa
Esaú Villatoro Universidad Autónoma Metropolitana Unidad Cuajimalpa
Bogdan Ionescu Politehnica University of Bucharest
Hugo Jair Escalante ChaLearn, Instituto Nacional de Astrofísica, Óptica y Electrónica, Cholula
Sergio Escalera ChaLearn, Universitat Politecnica de Catalunya
M.A. Larson , University of Applied Sciences Western Switzerland
Henning Müller Universitat Politecnica de Catalunya
Isabelle Guyon Université Paris-Saclay, Paris, ChaLearn
Social networks Personality analysis Information fusion Handwritten recognition Multimedia information processing
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Published Date

2019

Language

English

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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 multimodal 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.