A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the detection and recognition of television commercials
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Structure analysis of soccer video with domain knowledge and hidden Markov models
Pattern Recognition Letters - Video computing
A new method to segment playfield and its applications in match analysis in sports video
Proceedings of the 12th annual ACM international conference on Multimedia
An Integrated Color and Intensity Co-occurrence Matrix
Pattern Recognition Letters
Automatic text detection and tracking in digital video
IEEE Transactions on Image Processing
A system for automatic detection and recognition of advertising trademarks in sports videos
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Multimedia Tools and Applications
Morphological thick line center detection
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Soccer ball detection by comparing different feature extraction methodologies
Advances in Artificial Intelligence
Accurate ball detection in soccer images using probabilistic analysis of salient regions
Machine Vision and Applications
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Billboards are placed on the sides of a soccer field for advertisement during match telecast. Unlike regular commercials, which are introduced during a break, on-field billboards appear on the TV screen at uncertain time instances, in different sizes, and also for different durations. Automated processing of soccer telecasts for detection and analysis of such billboards can provide important information on the effectiveness of this mode of advertising. We propose a method in which shot boundaries are first identified and the type of each shot is determined. Frames within each shot are then segmented to locate possible regions of interests (ROIs) - locations in a frame where billboards are potentially present. Finally, we use a combination of local and global features for detecting individual billboards by matching with a set of given templates.