Rule-based video classification system for basketball video indexing
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
The Holy Grail of Content-Based Media Analysis
IEEE MultiMedia
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Event Detection and Summarization in Sports Video
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Automatic Parsing of TV Soccer Programs
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Sports Video Mining with Mosaic
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
A Generic Framework for Semantic Sports Video Analysis Using Dynamic Bayesian Networks
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
Using camera motion to identify types of American football plays
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Event tactic analysis based on player and ball trajectory in broadcast video
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Multi-channel segmental hidden markov models for sports video mining
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Discriminative fields for modeling semantic concepts in video
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
A unified framework for semantic shot classification in sports video
IEEE Transactions on Multimedia
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
Event detection in field sports video using audio-visual features and a support vector Machine
IEEE Transactions on Circuits and Systems for Video Technology
Finding the game flow from sports video
J-MRE '11 Proceedings of the 2011 joint ACM workshop on Modeling and representing events
Journal of Visual Communication and Image Representation
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We study event detection in the context of sports video mining that involves a three-layer semantic space, i.e., low-level visual features, mid-level semantic structures, and high-level semantics (or events). This space supports explicit semantic modeling and direct semantic computing. Specifically, the mid-level semantic structures are the basic recurrent temporal patterns that serve as the building blocks for event analysis. We also propose a unified video mining framework where event detection is formulated as two inter-related inference problems associated with two different machine learning tools. One is from low-level to mid-level by generative models, and the other is from mid-level to high-level by discriminate models. We use American football video analysis as a case study, and the experimental results demonstrate the promising results of the proposed approach.