Title :
MatchVis: A generalized visual multi-scale analysis framework for competitive sports
Author :
Wentao Wang ; Jiawan Zhang ; Tianshi Liu
Author_Institution :
Sch. of Comput. Software, Tianjin Univ., Tianjin, China
Abstract :
Sports are highly competitive, fast-paced, and teamwork-based. In this article, we introduce a novel approach in analyzing competitive sports based on music metaphor. Our proposed framework MatchVis extracts match information from raw webcast dataset about NBA and incorporates historical models into the investigation, providing a more compact and understandable visual representation of the details and patterns of match, which can consequently aid analysts in performing specific tasks and decision-making.
Keywords :
data visualisation; decision making; music; pattern matching; sport; MatchVis; NBA; competitive sport; decision-making; generalized visual multiscale analysis framework; historical model; match information; music metaphor; pattern matching; raw webcast dataset; visual representation; Educational institutions; Heating; Pattern matching; Ports (Computers); Software; Teamwork; Visualization; competitive team sports; multi-scale analysis; multidimensional scaling; visualization framework;
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris
DOI :
10.1109/VAST.2014.7042533
