Semantic video indexing: approach and issues
ACM SIGMOD Record
Automatically extracting highlights for TV Baseball programs
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Rule-based video classification system for basketball video indexing
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Recognizing planned multiperson action
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Semantics in Visual Information Retrieval
IEEE MultiMedia
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
Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Video Annotation for Content-based Retrieval using Human Behavior Analysis and Domain Knowledge
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Detection and Description of Human Running Behaviour in Sports Video Multimedia Database
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Automatic Parsing of TV Soccer Programs
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
Semantic annotation of soccer videos: automatic highlights identification
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Classification of TV Sports News by DCT Features Using Multiple Subspace Method
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
The fusion of audio-visual features and external knowledge for event detection in team sports video
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Concept-oriented video skimming and adaptation via semantic classification
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Fusion of AV features and external information sources for event detection in team sports video
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Content-based intelligent video recorder with its implementation on sports video
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
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Automatic semantic annotation of sports video requires that the domain knowledge is properly included and exploited in the annotation process and that low and intermediate-level features are conveniently selected, extracted from the video and combined so that their spatio-temporal combinations identify the prominent highlights. Spatial and temporal extensions of the highlights must be precisely detected in order to permit the extraction of the most salient parts of the video and construct automatically meaningful trailers and summaries. In this paper we propose finite state machine models and model checking as a general and effective approach to model sports highlights and detect their occurrence automatically, from the analysis of the video visual cues. The approach has been tested on soccer and swimming that are representatives of two different typologies of sports, respectively team sport and race sport.