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A Novel Framework for Semantic Annotation of Soccer Sports Video Sequences

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3 Author(s)
Kolekar, M.H. ; Dept. of Comput. Sci., Univ. of Missouri, Columbia, MO ; Palaniappan, K. ; Sengupta, S.

A novel framework is presented for semantic labeling of video clips, automatically segmented from broadcast video of soccer (football) games, as highlights and excitement clips etc. The proposed framework provides a generalizable method for linking low-level video features with high- level semantic concepts defined in a commonly understood sports lexicon. Three important contributions are made to automatic annotation of sports video, as follows. First, domain knowledge combined with an event-lexicon and a four-level hierarchical classifier based on low-level video features is used to label video segments. Second, a priori event mining is used to establish probabilistic event-associations that are used to assign a concept-lexicon, such as goals and saves, to each highlight video segment. And, finally, the collection of highlight video clips is summarized using concept- and event- lexicons to facilitate highlight browsing, video skimming, indexing and retrieval.

Published in:

Visual Media Production (CVMP 2008), 5th European Conference on

Date of Conference:

26-27 Nov. 2008