Low cost soccer video summaries based on visual rhythm

The visual rhythm is a spatio-temporal sampled representation of video data providing compact information while preserving several types of video events.We exploit these properties in the present work to propose two new low level descriptors for the analysis of soccer videos computed directly from the visual rhythm.The descriptors are related to dominant color and camera motion estimation.The new descriptors are applied in different tasks aiming the analysis of soccer videos such as shot transition detection, shot classification and attack direction estimation.We also present a simple automated soccer summary application to illustrate the use of the new descriptors.

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