Rule-based video classification system for basketball video indexing
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
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)
Improvement of Video Text Recognition by Character Selection
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Automatic Parsing of TV Soccer Programs
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
Event based indexing of broadcasted sports video by intermodalcollaboration
IEEE Transactions on Multimedia
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Automatically selecting shots for action movie trailers
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
A scalable and extensible segment-event-object-based sports video retrieval system
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
An intelligent strategy for the automatic detection of highlights in tennis video recordings
Expert Systems with Applications: An International Journal
Story unit segmentation with friendly acoustic perception
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
ELVIS: Entertainment-led video summaries
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Knowledge-discounted event detection in sports video
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
Multimedia Tools and Applications
Video summarization based on user interaction
Proceddings of the 9th international interactive conference on Interactive television
Near-lossless semantic video summarization and its applications to video analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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To manage the massive growth of sport videos, we need to summarize the contents into a more compact and interesting representation. Unlike previous work which summarized either highlights or play scenes, we propose a unified summarization scheme which integrates both highlights and play-break scenes. For automation of the process, combination of audio and visual features provides more accurate detection. We will present fast detection algorithms of whistle and excitement to take advantage of the fact that audio features are computationally cheaper than visual features. However, due to the amount of noises in sport audio, fast text-display detection will be used for verification of the detected highlights. The performance of these algorithms has been tested against one hour of soccer and swimming videos.