The NURBS book
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Content-based analysis for video from snooker broadcasts
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Semantic annotation of soccer videos: automatic highlights identification
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Analyzing Tennis Tactics from Broadcasting Tennis Video Clips
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
Trajectory based event tactics analysis in broadcast sports video
Proceedings of the 15th international conference on Multimedia
Structure and event mining in sports video with efficient mosaic
Multimedia Tools and Applications
Journal of Visual Communication and Image Representation
A unified framework for semantic shot classification in sports video
IEEE Transactions on Multimedia
Fusion of audio and motion information on HMM-based highlight extraction for baseball games
IEEE Transactions on Multimedia
A Novel Framework for Semantic Annotation and Personalized Retrieval of Sports Video
IEEE Transactions on Multimedia
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
HMM-based ball hitting event exploration system for broadcast baseball video
Journal of Visual Communication and Image Representation
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The strike zone plays a crucial role in baseball. Pitches which pass through the strike zone count as strikes, three of which strike out the batter. Besides strike/ball judgment, the strike zone also provides the reference for positioning pitch locations, about which sports fans and professionals have an intense interest in compiling statistics. This paper presents contour-based strike zone shaping and visualization in broadcast baseball video. We first detect the home plate, which determines the vertical limits of the strike zone. Then, an efficient algorithm is designed for batter contouring and the points of curvature extremes on the batter's contour are computed to locate the dominant points which determine the horizontal limits of the strike zone. The experiments show that the proposed framework is able to shape the strike zone fairly well in various baseball sequences, needless of manual operation and additional camera setting. The proposed strike zone shaping and visualization will be able to assist in pitch analysis and statistics compiling.