Automatic partitioning of full-motion video
Multimedia Systems
ACM Computing Surveys (CSUR)
Video Summaries through Mosaic-Based Shot and Scene Clustering
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Where Are the Ball and Players? Soccer Game Analysis with Color Based Tracking and Image Mosaick
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
From Video Sequences to Motion Panoramas
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Structure analysis of soccer video with domain knowledge and hidden Markov models
Pattern Recognition Letters - Video computing
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Sports Video Mining with Mosaic
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
A unified framework for semantic shot representation of sports video
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Generic play-break event detection for summarization and hierarchical sports video analysis
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
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
Video Mosaics for Virtual Environments
IEEE Computer Graphics and Applications
A unified framework for semantic shot classification in sports video
IEEE Transactions on Multimedia
Adaptive extraction of highlights from a sport video based on excitement modeling
IEEE Transactions on Multimedia
A unified approach to shot change detection and camera motion characterization
IEEE Transactions on Circuits and Systems for Video Technology
Multimedia Tools and Applications
Real-world trajectory extraction for attack pattern analysis in soccer video
Proceedings of the international conference on Multimedia
Non-goal scene analysis for soccer video
Neurocomputing
Robust GME in encoded MPEG video
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Tactic analysis based on real-world ball trajectory in soccer video
Pattern Recognition
A Generic Approach for Systematic Analysis of Sports Videos
ACM Transactions on Intelligent Systems and Technology (TIST)
Multimedia Tools and Applications
Near-lossless semantic video summarization and its applications to video analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Video is an information-intensive media with much redundancy. Therefore, it is desirable to be able to mine structure or semantics of video data for efficient browsing, summarization and highlight extraction. In this paper, we propose a mosaic based approach to key-event as well as structure mining, which is regarded as a complementary view for sports video analysis. Mosaic is generated for each shot by a novel efficient mosaicing scheme, which constructs a global motion path and selects a best subset of frames for mosaicing. These improved mosaics are then used as the representative image of shot content. Based on mosaic, the structure and event in sports video are mined by the methods with prior knowledge and without prior knowledge. Without prior knowledge, our system is able to locate global view shots taken by dominant camera. If prior knowledge is available, the events in these global view shots are detected using robust features extracted from mosaics. For global view mining, the experiments compared with key-frame-based scheme have demonstrated that this mosaic-based scheme presents better results in several kinds of sports videos; for events mining, the detection of key-plays and key-events in the specific-domain of soccer videos have proved its effectiveness.