Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
A mid-level representation framework for semantic sports video analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Real-time goal-mouth detection in MPEG soccer video
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Efficient Multimodal Features for Automatic Soccer Highlight Generation
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Automatic replay generation for soccer video broadcasting
Proceedings of the 12th annual ACM international conference on Multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Virtual spotlighted advertising for tennis videos
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
We describe novel methods to automatically augment content into video highlights detected from soccer and tennis video. First, we extract generic and domain-specific features from the video to isolate key audio-visual events that we have empirically found to correlate well with the ground-truth highlights. Next, based on a set of heuristics-driven rules to minimize view disruption, spatial regions in the image frames of these video highlight segments are segmented for content augmentation. Preliminary trials from subjective viewing indicate a high level of acceptance for the content insertions.