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Mobile devices have become an increasingly popular means for the delivery of streaming audio, streaming video and internet content. However, users still face many limitations when searching for the most relevant, most popular, and often most useful video/audio source. This work presents a novel algorithm implemented in the form of an iPhone Application (i.e., App) useful in detecting and classifying...
A supervised softbot utilized for analyzing, segmenting, and properly classifying video clips pertaining to a wide variety of sporting events is presented. First, selected action scenes (i.e., training sequences) of a given sporting event are automatically segmented into real-world objects representing the participants of the activity. These objects correspond to the players, the playing field (or...
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