Principles of visual information retrieval
Principles of visual information retrieval
A user attention model for video summarization
Proceedings of the tenth ACM international conference on Multimedia
The fusion of audio-visual features and external knowledge for event detection in team sports video
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Detection of slow-motion replay segments in sports video for highlights generation
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Football video segmentation based on video production strategy
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Event based indexing of broadcasted sports video by intermodalcollaboration
IEEE Transactions on Multimedia
Affective video content representation and modeling
IEEE Transactions on Multimedia
Adaptive extraction of highlights from a sport video based on excitement modeling
IEEE Transactions on Multimedia
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.00 |
Live football video is the major content genre in 3G mobile service. In this paper, we introduce a realtime general highlight detection algorithm based on attention analysis. It combines attention-related media modalities into role-based attention curves, namely video director, spectator and commentator, to track viewers' feeling against game content from media data. A series of linear temporal predictors are assumed from video data directly and employed to allocate strong attention changes, which are marked as scroll-back endpoints for mobile video skim. The advantages of our algorithm are that it avoids semantic uncertainty of game highlights and that it requires little training. We evaluated our approach using the test bed with full five games from different content suppliers to prove the robustness.