Automatic generation of soccer video content hierarchy by mapping low-level features to high-level semantics

In this paper, we address the problem of semantically generating hierarchical and meaningful content for soccer video by mapping low-level features to high-level semantics. Our goal is to construct a hierarchical and compact content abstraction of soccer video that can serve as an effective index table, allowing users to browse through lots of soccer videos in a flexible and efficient way. And we generated three-layer semantic hierarchies of soccer video according to characteristics of soccer video through bridging the gap between features and semantics. Some experimental results are presented and discussed in the paper.

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