Call for Papers

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Second International Workshop on Multimedia Content Analysis in Sports @ ACM Multimedia, October 21-25, 2019, Nice, France

We'd like to invite you to submit your paper proposals for the 2nd International Workshop on Multimedia Content Analysis in Sports to be held in Nice, France together with ACM Multimedia 2019. The ambition of this workshop is to bring together researchers and practitioners from different disciplines to share ideas on current multimedia/multimodal content analysis research in sports. We welcome multimodal-based research contributions as well as best-practice contributions focusing on the following (and similar, but not limited to) topics:

– annotation and indexing

– athlete and object tracking

– activity recognition, classification and evaluation

– event detection and indexing

– performance assessment

– injury analysis and prevention

– data driven analysis in sports

– graphical augmentation and visualization in sports

– automated training assistance

– camera pose and motion tracking

– brave new ideas / extraordinary multimodal solutions

Submissions can be of varying length from 4 to 8 pages, plus additional pages for the reference pages. There is no distinction between long and short papers, but the authors may themselves decide on the appropriate length of the paper.

Please refer to the workshop website for further information:

http://multimedia-computing.de/mmsports2019/

IMPORTANT DATES

Extended Submission Deadline:         July 8, 2019

Acceptance Notification:             August 5, 2019

Camera Ready Submission:        August 19, 2019

Workshop Date:                           TBA; either Oct 21 or Oct 25, 2019

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Prof. Dr. Rainer Lienhart

Multimedia Computing & Computer Vision

Institut für Informatik, Universität Augsburg

Informatik Building N, Room # 1013

Universitätsstr. 6 a, 86159 Augsburg, Germany

email: Rainer.Lienhart@informatik.uni-augsburg.de

phone: +49 (821) 598-5703 cell: +49 (163) 960 5367

Skype: skype@videoanalysis.org. Threema oder FaceTime

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