Communications of the ACM
Towards content-based browsing of broadcast news video
Intelligent multimedia information retrieval
Semantic analysis for video contents extraction—spotting by association in news video
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Name-It: Naming and Detecting Faces in News Videos
IEEE MultiMedia
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Automated generation of news content hierarchy by integrating audio, video, and text information
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Integrated Image and Speech Analysis for Content-Based Video Indexing
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
On the Automated Interpretation and Indexing of American Football
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Event based indexing of broadcasted sports video by intermodalcollaboration
IEEE Transactions on Multimedia
Overview of the MPEG-7 standard
IEEE Transactions on Circuits and Systems for Video Technology
Automatic generation of personalized music sports video
Proceedings of the 13th annual ACM international conference on Multimedia
Live sports event detection based on broadcast video and web-casting text
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
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This paper presents a model to represent a broadcasted sports video in a semantic way and proposes a method of automatically generating semantic descriptions of significant scenes. Representation of a video should clarify the semantic content of the video as accurately as possible. Our model structurizes the video and specifies suitable semantic descriptions for video segments paying attention to the structure of both a sports game and a sports TV program. As the elements of these semantic descriptions, the proposed method tries to obtain the information about the plays and their related players from the closed-caption stream by searching key phrases. Finding the corresponding segments of the video by means of template matching for the image stream attaches these textual descriptions to the proper portion of the video. In this paper, we discuss some experimental results of our method and the potentiality for integrating these results into the standardized MPEG-7 description tools.