TY - GEN
T1 - Event detection and highlight detection of broadcasted game videos
AU - Chu, Wei Ta
AU - Chou, Yung Chieh
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/10/30
Y1 - 2015/10/30
N2 - Efficient access of game videos is urgently demanded due to the emergence of live streaming platforms and the explosive numbers of gamers and viewers. In this work we facilitate efficient access from two aspects: game event detection and highlight detection. By recognizing predefined text displayed on screen when some events occur, we associate game events with time stamps to facilitate direct access. We jointly consider visual features, events, and viewer's reaction to construct two highlight models, and enable compact game presentation. Experimental results show the effectiveness of the proposed methods. As one of the early attempts on analyzing broadcasted game videos from the perspective of multimedia content analysis, our contributions are twofold. First, we design and extract game-specific features considering visual content, event semantics, and viewer's reaction. Second, we integrate clues from these three domains based on a psychological approach and a data-driven approach to characterize game highlights.
AB - Efficient access of game videos is urgently demanded due to the emergence of live streaming platforms and the explosive numbers of gamers and viewers. In this work we facilitate efficient access from two aspects: game event detection and highlight detection. By recognizing predefined text displayed on screen when some events occur, we associate game events with time stamps to facilitate direct access. We jointly consider visual features, events, and viewer's reaction to construct two highlight models, and enable compact game presentation. Experimental results show the effectiveness of the proposed methods. As one of the early attempts on analyzing broadcasted game videos from the perspective of multimedia content analysis, our contributions are twofold. First, we design and extract game-specific features considering visual content, event semantics, and viewer's reaction. Second, we integrate clues from these three domains based on a psychological approach and a data-driven approach to characterize game highlights.
UR - http://www.scopus.com/inward/record.url?scp=84964394111&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964394111&partnerID=8YFLogxK
U2 - 10.1145/2810397.2810398
DO - 10.1145/2810397.2810398
M3 - Conference contribution
AN - SCOPUS:84964394111
T3 - HCMC 2015 - Proceedings of the 2nd Workshop on Computational Models of Social Interactions: Human-Computer-Media Communication, co-located with ACM MM 2015
SP - 1
EP - 8
BT - HCMC 2015 - Proceedings of the 2nd Workshop on Computational Models of Social Interactions
PB - Association for Computing Machinery, Inc
T2 - 2nd Workshop on Computational Models of Social Interactions: Human-Computer-Media Communication, HCMC 2015
Y2 - 30 October 2015
ER -