1st International Workshop on Multimedia Content Analysis in Sports


Athletic endeavors, both at amateur and professional level, have a tremendous economic, political and cultural influence on our society. Recreational sportsmen of all ages actively and passively pursue an astonishing variety of sports for joy, health, stress relieve, or building relationships within communities. Thanks to the prevalence of television and internet, we actively consume sporting events even if not physically involved in sports ourselves.
The influence of rapidly developing technologies has changed the way of how we participate, watch, understand and research sports. For example, television broadcasts augment live video footage with computer vision-based graphics in real time to emphasize different aspects of a game or performance and assist focus and understanding of viewers. The astonishing impact of wearables within the last years plays a pivotal role in how we pursue and evaluate our personal training goals. In a professional setting, coaches and training scientists directly benefit from the latest technological research, reshaping the way we think about improving the performance and technique of athletes, understand sport injuries or enhance the qualitative and quantitative analyses of performances.
While research fields like computer vision, sensor technology, machine learning and data driven approaches recently made huge advancements and have massively influenced many aspects of sports, the joint assessment of multiple modalities for sport technologies offers appealing innovations to advance the field. For example, audio-visual cues are used for classifying different sport types or performing crowed sentiment analyses. Computer vision systems using high-speed camera arrays generate performance coefficients and perform technical game analyses, while force predictions from force plates and wearable sensors can be utilized to predict impending injuries.

Call for Papers

The ambition of this workshop is to bring together researchers and practitioners from different disciplines to share ideas and methods 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


Please refer to the submission site for submission policies.

Please submit your paper via the Conference Management Toolkit (CMT) . You will have to choose International Workshop on Multimedia Content Analysis in Sports as your track. Submissions can be of varying length from 4 to 8 pages, plus additional pages for the reference pages; i.e., the reference page(s) are not counted to the page limit of 4 to 8 pages. There is no distinction between long and short papers, but the authors may themselves decide on the appropriate length of the paper. All papers will undergo the same review process and review period.


The accepted workshop papers will be published in the ACM Digital Library. The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to the published work.

Important Dates

Workshop paper submission July 8, 2018 [11:59 p.m. Pacific Standard Time]
Acceptance Notification August 5, 2018
Camera-ready submission August 12, 2018 [11:59 p.m. Pacific Standard Time]

Please check this site regularly for various updates.

Invited Speakers



Hideo Saito (Keio University, Japan)

Thomas B. Moeslund (Aalborg University, Denmark)

Rainer Lienhart (Augsburg University, Germany)

For any questions please contact the organizers via email: mmsports@informatik.uni-augsburg.de.