Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Automatically extracting highlights for TV Baseball programs
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Audio keyword generation for sports video analysis
Proceedings of the 12th annual ACM international conference on Multimedia
A Two-Stage Approach to Highlight Extraction in Sports Video by Using AdaBoost and Multi-modal
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A Flexible Framework for Audio Semantic Content Detection
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Shot-boundary detection: unraveled and resolved?
IEEE Transactions on Circuits and Systems for Video Technology
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
Information theory-based shot cut/fade detection and video summarization
IEEE Transactions on Circuits and Systems for Video Technology
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Recently, extracting highlights in the sports videos has been paid much attention. This paper proposes a hierarchical extracting model to extract the highlights in the basketball games based on the audio-visual features. Firstly, the unrelated scenes (studio scenes, Ad scenes) are removed by detecting music sound and analyzing scene background's stableness. Then, the clips which the audiences pay more attention to are marked by detecting the keywords and exciting sounds in the audio clues and the score changing in the visual clues. We do a series of experiments to evaluate the proposed method, and the experimental results show that our method can work well.