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ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview

Jair Escalante, H; Ponce-Lopez, V; Wan, J; Riegler, MA; Chen, B; Clapes, A; Escalera, S; ... Larson, M; + view all (2017) ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview. In: (Proceedings) 23rd International Conference on Pattern Recognition (ICPR). (pp. pp. 67-73). IEEE: Cancun, Mexico. Green open access

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Abstract

This paper provides an overview of the Joint Contest on Multimedia Challenges Beyond Visual Analysis. We organized an academic competition that focused on four problems that require effective processing of multimodal information in order to be solved. Two tracks were devoted to gesture spotting and recognition from RGB-D video, two fundamental problems for human computer interaction. Another track was devoted to a second round of the first impressions challenge of which the goal was to develop methods to recognize personality traits from short video clips. For this second round we adopted a novel collaborative-competitive (i.e., coopetition) setting. The fourth track was dedicated to the problem of video recommendation for improving user experience. The challenge was open for about 45 days, and received outstanding participation: almost 200 participants registered to the contest, and 20 teams sent predictions in the final stage. The main goals of the challenge were fulfilled: the state of the art was advanced considerably in the four tracks, with novel solutions to the proposed problems (mostly relying on deep learning). However, further research is still required. The data of the four tracks will be available to allow researchers to keep making progress in the four tracks.

Type: Proceedings paper
Title: ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview
Event: 23rd International Conference on Pattern Recognition (ICPR)
Location: Mexican Assoc Comp Vis Robot & Neural Comp, Cancun, MEXICO
Dates: 04 December 2016 - 08 December 2016
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICPR.2016.7899609
Publisher version: https://doi.org/10.1109/ICPR.2016.7899609
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10114944
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