Automatic Content Placement in Sports Highlights

To be viable advertising platforms, methods for in-program content placement in sports video must balance against clutter. We propose viewer relevance (VR) measures of video frames in the temporal and spatial domain. Video sub-segments with low temporal VR are first selected, within which actual content is emplaced on regions with low spatial VR. We compute VR measures using color, motion, texture and domain features, upon which spatio-temporal techniques are used to segment spatial regions for actual content placement. Results from preliminary subjective viewing trials on soccer and tennis video indicate that our approach is promising

[1]  Chng Eng Siong,et al.  Automatic replay generation for soccer video broadcasting , 2004, MULTIMEDIA '04.

[2]  Alexandre R. J. François,et al.  Real-Time Billboard Substitution in a Video Stream , 1999 .

[3]  Changsheng Xu,et al.  Efficient multimodal features for automatic soccer highlight generation , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[4]  Qi Tian,et al.  Automatic Sports Highlights Extraction with Content Augmentation , 2004, PCM.

[5]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[6]  Anil K. Jain,et al.  Automatic classification of tennis video for high-level content-based retrieval , 1998, Proceedings 1998 IEEE International Workshop on Content-Based Access of Image and Video Database.