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.
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© 2005 IFIP International Federation for Information Processing
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Huayong, L., Hui, Z. (2005). SportsVBR: A Content-Based TV Sports Video Browsing and Retrieval System. In: Kishino, F., Kitamura, Y., Kato, H., Nagata, N. (eds) Entertainment Computing - ICEC 2005. ICEC 2005. Lecture Notes in Computer Science, vol 3711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558651_11
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DOI: https://doi.org/10.1007/11558651_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29034-6
Online ISBN: 978-3-540-32054-8
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