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

机译:ChaLearn联合竞赛:视觉分析之外的多媒体挑战:概述

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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.
机译:本文概述了除了视觉分析之外的多媒体挑战联合竞赛。我们组织了一场学术竞赛,重点讨论需要有效处理多模式信息才能解决的四个问题。两条轨迹专门用于手势识别和RGB-D视频识别,这是人机交互的两个基本问题。另一首曲目专门介绍了第二轮第一印象挑战,其目的是开发一种方法来识别短片中的人格特质。在第二轮中,我们采用了一种新颖的协作竞争(即合作竞争)设置。第四个专题专门讨论视频推荐问题,以改善用户体验。挑战赛进行了约45天,并获得了出色的参与:将近200名参与者报名参加了比赛,最后阶段有20个团队发送了预测。挑战的主要目标得以实现:在四个方面都大大提高了现有技术水平,为提出的问题提供了新颖的解决方案(主要依靠深度学习)。但是,仍然需要进一步的研究。四个轨迹的数据将可用,以使研究人员能够在四个轨迹上不断取得进步。

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