Automatically extracting highlights for TV Baseball programs
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
An integrated baseball digest system using maximum entropy method
Proceedings of the tenth ACM international conference on Multimedia
Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Real-Time Tracking for Enhanced Tennis Broadcasts
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Automatic Parsing of TV Soccer Programs
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
A mid-level representation framework for semantic sports video analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Semantic annotation of soccer videos: automatic highlights identification
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Structure analysis of soccer video with domain knowledge and hidden Markov models
Pattern Recognition Letters - Video computing
Analyzing Tennis Tactics from Broadcasting Tennis Video Clips
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
Finding interesting pass patterns from soccer game records
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Reliable Video Clock Time Recognition
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Live sports event detection based on broadcast video and web-casting text
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Trajectory Analysis for Soccer Players
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Trajectory based event tactics analysis in broadcast sports video
Proceedings of the 15th international conference on Multimedia
A tennis video indexing approach through pattern discovery in interactive process
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Event based indexing of broadcasted sports video by intermodalcollaboration
IEEE Transactions on Multimedia
Personalized abstraction of broadcasted American football video by highlight selection
IEEE Transactions on Multimedia
Adaptive extraction of highlights from a sport video based on excitement modeling
IEEE Transactions on Multimedia
Trajectory-Based Ball Detection and Tracking in Broadcast Soccer Video
IEEE Transactions on Multimedia
Efficient, robust, and fast global motion estimation for video coding
IEEE Transactions on Image Processing
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
Event detection in sports video based on generative-discriminative models
EiMM '09 Proceedings of the 1st ACM international workshop on Events in multimedia
A review of vision-based systems for soccer video analysis
Pattern Recognition
Multimedia Tools and Applications
Recognizing tactic patterns in broadcast basketball video using player trajectory
Journal of Visual Communication and Image Representation
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Most of existing approaches on sports video analysis are concentrated on semantic event detection which is general audience oriented and the extracted events are presented to the audience without further analysis from tactic perspective. In this paper, we propose a novel approach to extract the tactic information and recognize the tactic patterns from goal events in broadcast soccer video. We extract the goal events with far-view shots using the analysis and alignment of web-casting text and broadcast video. For a detected goal event, a multi-object detection and tracking algorithm is employed to obtain the players and ball trajectories. An effective tactic representation called aggregate trajectory are constructed based on multi-object trajectories using a novel analysis of temporal-spatial interaction among the players and ball. The interactive relationship of aggregate trajectory and the hypothesis testing of the trajectory temporal-spatial distribution are employed to discover the tactic patterns in a hierarchical coarse-to-fine framework. The experimental results on FIFA World Cup 2006 show that the proposed approach is more effective than our previous work.