Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Holy Grail of Content-Based Media Analysis
IEEE MultiMedia
Applications of Video-Content Analysis and Retrieval
IEEE MultiMedia
Determination of Optical Flow and its Discontinuities using Non-Linear Diffusion
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Structure analysis of soccer video with domain knowledge and hidden Markov models
Pattern Recognition Letters - Video computing
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Sports video classification using HMMS
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
HMM based structuring of tennis videos using visual and audio cues
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Automatic Sports Video Genre Classification using Pseudo-2D-HMM
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Multimodal semantic analysis and annotation for basketball video
EURASIP Journal on Applied Signal Processing
Audio/visual mapping with cross-modal hidden Markov models
IEEE Transactions on Multimedia
Joint scene classification and segmentation based on hidden Markov model
IEEE Transactions on Multimedia
Fusion of audio and motion information on HMM-based highlight extraction for baseball games
IEEE Transactions on Multimedia
A Learned Lexicon-Driven Paradigm for Interactive Video Retrieval
IEEE Transactions on Multimedia
Event detection in field sports video using audio-visual features and a support vector Machine
IEEE Transactions on Circuits and Systems for Video Technology
MINMAX optimal video summarization
IEEE Transactions on Circuits and Systems for Video Technology
An HMM-based framework for video semantic analysis
IEEE Transactions on Circuits and Systems for Video Technology
Statistical motion information extraction and representation for semantic video analysis
IEEE Transactions on Circuits and Systems for Video Technology
Combining multimodal and temporal contextual information for semantic video analysis
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
HMM based soccer video event detection using enhanced mid-level semantic
Multimedia Tools and Applications
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In this paper, a motion-based approach for detecting high-level semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be directly applied to any possible domain of concern without the need for domain-specific algorithmic modifications or adaptations. For realizing event detection, the video is initially segmented into shots and for every resulting shot appropriate motion features are extracted at fixed time intervals, thus forming a motion observation sequence. Then, Hidden Markov Models (HMMs) are employed for associating each shot with a semantic event based on its formed observation sequence. Regarding the motion feature extraction procedure, a new representation for providing local-level motion information to HMMs is presented, while motion characteristics from previous frames are also exploited. The latter is based on the observation that motion information from previous frames can provide valuable cues for interpreting the semantics present in a particular frame. Experimental results as well as comparative evaluation from the application of the proposed approach in the domains of tennis and news broadcast video are presented.