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Our paper presents a new approach for the recognition of highlights in soccer video. Our contribution consists of the combination of Bayesian theorem inferences and Hidden Markov Models (HMMs). We build HMMs to calculate probabilities that a test video segment belongs to highlight and non highlight classes. Then, we apply the Bayesian theorem on the two previous probabilities. Our system has achieved...
This paper provides comments to the paper "Visual Players Detection and Tracking in Soccer Matches". It was prepared as part of an experimental open review process for the 5th IEEE International Conference On Advanced Video and Signal Based Surveillance for which the author of this commentary paper acted as a reviewer. Due to the conference submission process, this comment was prepared for...
This paper presents an effective and efficient event detection system for broadcast baseball videos. It integrates midlevel cues including scoreboard information and shot transition patterns into event classification rules. First, a simple scoreboard detection and recognition scheme is developed to extract the game status from videos. Then, a shot transition classifier is designed to obtain the shot...
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