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

  • Gabriela Ramírez
  • Esaú VillatoroEmail author
  • Bogdan Ionescu
  • Hugo Jair Escalante
  • Sergio Escalera
  • Martha Larson
  • Henning Müller
  • Isabelle Guyon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11188)

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.

Keywords

Information fusion Personality analysis Social networks Handwritten recognition Multimedia information processing 

Notes

Acknowledgements

Gabriela Ramirez and Esaú Villatoro would like to thank the UAM-C for the facilities provided in this project. Their research was partially supported by CONACYT-Mexico under project grant 258588 and under the Thematic Networks program (Language Technologies Thematic Network, project 281795). Bogdan Ionescu’s work was supported by the Romanian Ministry of Innovation and Research, UEFISCDI, project SPIA-VA, agreement 2SOL/2017, grant PN-III-P2-2.1-SOL-2016-02-0002. We would like also to acknowledge the contribution of the task co-organizers: Andrei Jitaru and Liviu Daniel Stefan, University Politehnica of Bucharest, Romania. Hugo Jair Escalante was supported by INAOE. Sergio Escalera’s work has been partially supported by the Spanish project TIN2016-74946-P (MINECO/FEDER, UE) and CERCA Programme / Generalitat de Catalunya.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Gabriela Ramírez
    • 1
  • Esaú Villatoro
    • 1
    Email author
  • Bogdan Ionescu
    • 2
  • Hugo Jair Escalante
    • 3
    • 4
  • Sergio Escalera
    • 4
    • 7
  • Martha Larson
    • 5
    • 6
  • Henning Müller
    • 7
  • Isabelle Guyon
    • 4
    • 8
  1. 1.Universidad Autónoma Metropolitana Unidad Cuajimalpa (UAM-C)Mexico CityMexico
  2. 2.Multimedia LabUniversity Politehnica of BucharestBucharestRomania
  3. 3.Instituto Nacional de Astrofísica, Óptica y ElectrónicaCholulaMexico
  4. 4.ChaLearnBerkeleyUSA
  5. 5.MIR LabDelft University of TechnologyDelftNetherlands
  6. 6.University of Applied Sciences Western Switzerland (HES-SO)SierreSwitzerland
  7. 7.Computer Vision Center (UAB)University of BarcelonaBarcelonaSpain
  8. 8.Université Paris-SaclayParisFrance

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