Fundamentals of speech recognition
Fundamentals of speech recognition
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Automatic Parsing of TV Soccer Programs
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
Maximum entropy model-based baseball highlight detection and classification
Computer Vision and Image Understanding - Special issue on event detection in video
A Hierarchical Field Framework for Unified Context-Based Classification
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Sports video categorizing method using camera motion parameters
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Event based indexing of broadcasted sports video by intermodalcollaboration
IEEE Transactions on Multimedia
An HMM-based framework for video semantic analysis
IEEE Transactions on Circuits and Systems for Video Technology
A robust scene recognition system for baseball broadcast using data-driven approach
Proceedings of the 6th ACM international conference on Image and video retrieval
Automatic score scene detection for baseball video
LKR'08 Proceedings of the 3rd international conference on Large-scale knowledge resources: construction and application
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We propose a robust scene recognition framework using scene context information for multimedia contents. Multimedia contents con-sist of scene sequences that are more likely to happen compared with other scene sequences. We employ a statistical approach to deal with this scene context information. We employ a hidden Markov model (HMM) to model each scene and n-gram language model to represent the contexts among scenes. We evaluated the proposed method in scene recognition experiments for 16 scenes in video data of 25 baseball games. The proposed method significantly improved the results compared to that without scene context information.