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In this paper, we propose a new approach to bowling game result analysis. A reliable attribute, i.e. the lane boundary, is detected first. Based on this attribute the rudimentary result frame can be detected. The spectral features of the audio frames of the candidates are employed to determine the exact result frame by applying the DistAl algorithm, a simple and fast constructive neural-network learning...
The retrieval of soccer highlights is a suitable technique for video indexing, required by the multimedia database management or for the development of television on demand. For these purposes, it should be interesting to have an automatic annotation of events happened in soccer games. One solution consists in analyzing the audio soundtrack associated to the soccer video and to detect the interesting...
The paper introduces a highlight detection method that consists of: (1) an inference scheme for semantic feature extraction; (2) a semantic highlight detection scheme using a multi-level semantic network (MSN). MSN is basically a Bayesian belief network (BBN) which consists of the low-level feature nodes connected to the mid-level semantic nodes and finally the high-level semantic nodes. A probabilistic...
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