IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding Line Segments by Stick Growing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maximum entropy model-based baseball highlight detection and classification
Computer Vision and Image Understanding - Special issue on event detection in video
Audiovisual integration for tennis broadcast structuring
Multimedia Tools and Applications
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Scene-based event detection for baseball videos
Journal of Visual Communication and Image Representation
Multimodal semantic analysis and annotation for basketball video
EURASIP Journal on Applied Signal Processing
Temporal feature induction for baseball highlight classification
Proceedings of the 15th international conference on Multimedia
Multimedia Tools and Applications
Journal of Visual Communication and Image Representation
Computer Vision and Image Understanding
Event tactic analysis based on broadcast sports video
IEEE Transactions on Multimedia
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
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
Trajectory-Based Ball Detection and Tracking in Broadcast Soccer Video
IEEE Transactions on Multimedia
Robust Camera Calibration and Player Tracking in Broadcast Basketball Video
IEEE Transactions on Multimedia
Shot-boundary detection: unraveled and resolved?
IEEE Transactions on Circuits and Systems for Video Technology
Event Detection of Broadcast Baseball Videos
IEEE Transactions on Circuits and Systems for Video Technology
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With the dramatic growth of fandom population, a considerable amount of research efforts have been devoted to baseball video processing. However, little work focuses on the detailed follow-ups of ball hitting events. This paper proposes a HMM-based ball hitting event exploration system for broadcast baseball video. Utilizing the strictly-defined layout of the baseball field, the proposed system first detects the game-specific spatial patterns in the field, such as the field lines, the bases, the pitch mound, etc. Then, the play region-the currently camera-focused region of the baseball field is identified for frame type classification. Since the temporal patterns of presenting the game progress follow a prototypical order, we consider the classified frame types as observation symbols and recognize ball hitting events using HMM. Experiments conducted on broadcast baseball video show encouraging results in frame type classification and ball hitting event recognition. Three practical applications, including highlight clip extraction by user-designated query, storyboard construction, and similar event retrieval, are introduced to address the applicability of our system.