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Highlights extraction from sports video based on an audio-visual marker detection framework
Amsterdam, Netherlands July 06-July 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2005.15213522005 IEEE International Conference on ...
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Z. Xiong, Dept. of Electr.&Comput. Eng., Illinois Univ., Champaign, IL, USA
We propose to use a visual object (e.g., the baseball catcher) detection algorithm to find local, semantic objects in video frames in addition to an audio classification algorithm to find semantic audio objects in the audio track for sports highlights extraction. The highlight candidates are then further grouped into finer-resolution highlight segments, using color or motion information. During the grouping phase, many of the false alarms can be correctly identified and eliminated. Our experimental results with baseball, soccer and golf video are promising.
Index Terms:
audio-visual marker, visual object detection algorithm, semantic object, audio classification algorithm, sports highlights extraction, finer-resolution highlight segment, color information, motion information, grouping phase, baseball, soccer, golf video
Citation:
Z. Xiong, null Regunathan Radhakrishnan, null Ajay Divakaran, T.S. Huang, "Highlights extraction from sports video based on an audio-visual marker detection framework," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005
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