Automatically extracting highlights for TV Baseball programs
MULTIMEDIA '00 Proceedings of the eighth 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
Highlight scene extraction in real time from baseball live video
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Automatic replay generation for soccer video broadcasting
Proceedings of the 12th annual ACM international conference on Multimedia
Implanting virtual advertisement into broadcast soccer video
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
Advertising Insertion in Sports Webcasts
IEEE MultiMedia
VideoSense: towards effective online video advertising
Proceedings of the 15th international conference on Multimedia
A generic virtual content insertion system based on visual attention analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
ViSA: virtual spotlighted advertising
MM '08 Proceedings of the 16th ACM international conference on Multimedia
VideoSense: a contextual in-video advertising system
IEEE Transactions on Circuits and Systems for Video Technology
Advertise gently - in-image advertising with low intrusiveness
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Virtual spotlighted advertising for tennis videos
Journal of Visual Communication and Image Representation
Boosting image object retrieval and indexing by automatically discovered pseudo-objects
Journal of Visual Communication and Image Representation
Tennis Video 2.0: A new presentation of sports videos with content separation and rendering
Journal of Visual Communication and Image Representation
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In this paper, we propose a novel method to detect baseball video scene for commercial advertisement insertion. The method uses the criteria based on better advertisement effect to generate a set of rules. From these rules, proper timing (starting time and ending time) and location are identified to insert the advertisement in the broadcast baseball video automatically. The proper timing is detected based on the consistent existence of simple background objects in the video for a period of time. The proper location is identified by less-informative-region detection in the video. The rules make sure that the critical information of the video is not blocked by the advertisement and the advertisement is always stable, clear and viewable on the stationary background of the video. The experimental results are encouraging.