SportsVBR: a content-based TV sports video browsing and retrieval system

Authors:
Liu Huayong;Zhang Hui
Affiliations:
Department of Computer Science, Central China Normal University, Wuhan, Hubei, PR China;Finance Department of Business School, Wuhan University, Wuhan, Hubei, PR China
Venue:
ICEC'05 Proceedings of the 4th international conference on Entertainment Computing
Year:
2005

Citing 4
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Abstract

An advanced content-based sports video browsing and retrieval system, SportsVBR, is proposed in this work. Its main features include event-based sports video browsing and keyword-based sports video retrieval. The paper first defines the basic structure of our SportsVBR system, and then introduces a novel approach that integrates multimodal analysis, such as visual streams analysis, speech recognition, speech signal processing and text extraction to realize event-based video clips selection. The experimental results for sports video of world cup football games indicate that multimodal analysis is effective for video browsing and retrieval by quickly browsing event-based video clips and inputting keywords according to a predefined sports vocabulary database. The system is proved to be helpful and effective for the overall understanding of the sports video content.