Automatically extracting highlights for TV Baseball programs
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Linking live and replay scenes in broadcasted sports video
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Semantic Indexing of Multimedia Documents
IEEE MultiMedia
Applications of Video-Content Analysis and Retrieval
IEEE MultiMedia
Event detection in baseball video using superimposed caption recognition
Proceedings of the tenth ACM international conference on 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
Event Detection and Summarization in Sports Video
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Hidden Markov Model Parsing of Video Programs
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Automatic Parsing of TV Soccer Programs
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
Content-based video indexing of TV broadcast news using hidden Markov models
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Detection of slow-motion replay segments in sports video for highlights generation
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Event based indexing of broadcasted sports video by intermodalcollaboration
IEEE Transactions on Multimedia
Performance characterization of video-shot-change detection methods
IEEE Transactions on Circuits and Systems for Video Technology
Multimedia Tools and Applications
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Interactive broadcast services for live soccer video based on instant semantics acquisition
Journal of Visual Communication and Image Representation
Story unit segmentation with friendly acoustic perception
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Soccer video event detection by fusing middle level visual semantics of an event clip
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Recognition of trademarks during sport television broadcasts
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Sequence-kernel based sparse representation for amateur video summarization
J-MRE '11 Proceedings of the 2011 joint ACM workshop on Modeling and representing events
Text driven temporal segmentation of cricket videos
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
HMM based soccer video event detection using enhanced mid-level semantic
Multimedia Tools and Applications
Detecting individual role using features extracted from speaker diarization results
Multimedia Tools and Applications
Video genre classification using weighted kernel logistic regression
Advances in Multimedia - Special issue on Multimedia Applications for Smart Device in Ubiquitous Environments
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One of the major challenges facing current media management systems and related applications is the so-called ''semantic gap'' between the rich meaning that a user desires and the shallowness of the content descriptions that are automatically extracted from the media. In this paper, we address the problem of bridging this gap in the sports domain. We propose a general framework for indexing and summarizing sports broadcast programs, with a high-level model of sports broadcast video using the concept of an event, defined according to domain-specific knowledge for different types of sports. Within this general framework, we develop automatic event detection algorithms that are based on automatic analysis of the visual and aural signals in the media. We have successfully applied the event detection algorithms to different types of sports including American football, baseball, Japanese sumo wrestling, and soccer. Event modeling and detection contribute to the reduction of the semantic gap by providing rudimentary semantic information obtained through media analysis. We further propose a novel approach, which makes use of independently generated rich textual metadata, to fill the gap completely through synchronization of the information-laden textual data with the basic event segments. We implemented an MPEG-7 compliant browsing system for semantic retrieval and summarization of sports video using the proposed algorithms.