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
Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Integrated Image and Speech Analysis for Content-Based Video Indexing
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Manipulation and compositing of MC-DCT compressed video
IEEE Journal on Selected Areas in Communications
Challenges of Image and Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Interactive multimedia system for distance learning of higher education
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
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In this paper, we propose a mechanism for extracting semantic information from basketball video sequence using audio and video features. After we divide the input video into shots by a simple cut detection algorithm using visual information, we analyze audio signal data to predict the location of an important event from which a cheering sound happens to start using the combination of MFCC features and the LPC entropy. Finally, we extract semantics about class of shot by computer vision techniques such as basketball tracking and related objects detection. Experimental results show that the proposed scheme can concretely extract semantics from basketball video data as compared to the existing methods.