Jan. 28, 2013 to Jan. 30, 2013
Svetlana Kim , Department of Multimedia Science Sookmyung Women's University Seoul. South-Korea
Yong-Ik Yoon , Department of Multimedia Science Sookrnyung Women's University Seoul, South-Korea
Advances in technology for multimedia services have led to a tremendous growth of video contents and accelerated the need to analyze and understand video content. An analysis of sports video, for example, has been a hot research area to identify a number of potential items: player and ball. For the efforts, this paper shows a Cognitive TV framework for the semantic region of interests in sport video service. The framework will issue two contributions in the short classification and object trajectory for the area of sport video. For the contributions, this paper suggests the semantic region of interests (SROI) based on Motion Vector Space (MVF) to analyze sports video. The SROI distinguishes the shot classes that are located in the motion vector space and detects the key objects, like the player and ball in the playing field, using Cognitive lattice algorithm.
H.264IMPEG-21SVC, Motion features, Region of Interest, Video Classification, Semantic Shot, Cognitive Lattice
Svetlana Kim, Yong-Ik Yoon, "Media adaptation model based on character object for cognitive TV", ICOIN, 2013, 2013 International Conference on Information Networking (ICOIN), 2013 International Conference on Information Networking (ICOIN) 2013, pp. 487-492, doi:10.1109/ICOIN.2013.6496428