Text detection, localization, and tracking in compressed video
Image Communication
Discriminative optical flow tensor for video semantic analysis
Computer Vision and Image Understanding
A visual system for real time detection of goal events during soccer matches
Computer Vision and Image Understanding
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
Sports video segmentation using a hierarchical hidden CRF
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
HMM based soccer video event detection using enhanced mid-level semantic
Multimedia Tools and Applications
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Automatic detection of semantic events in sport videos is a challenging task. In this paper, we propose a multimodal multilayer statistical inference framework for semantic sports video analysis using Dynamic Bayesian Networks (DBNs). Based on this framework, three instances including factorial hierarchical hidden Markov model (FHHMM), coupled hierarchical hidden Markov model (CHHMM), and product hierarchical hidden Markov model (PHHMM), are constructed and compared. Play-break detection in soccer videos is used as a testbed with hierarchical hidden Markov model (HHMM) as a baseline. Experimental results indicate the superior capability of the PHHMM, because it not only effectively models dynamic interactions between different modalities, but also sufficiently utilizes context constraints in multilayer structures.