Content-based TV sports video retrieval using multimodal analysis

Yiqing Yu; Huayong Liu; Hongbin Wang; Dongru Zhou

doi:10.1117/12.539877

25 September 2003 Content-based TV sports video retrieval using multimodal analysis

Yiqing Yu, Huayong Liu, Hongbin Wang, Dongru Zhou

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539877
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

In this paper, we propose content-based video retrieval, which is a kind of retrieval by its semantical contents. Because video data is composed of multimodal information streams such as video, auditory and textual streams, we describe a strategy of using multimodal analysis for automatic parsing sports video. The paper first defines the basic structure of sports video database system, and then introduces a new approach that integrates visual stream analysis, speech recognition, speech signal processing and text extraction to realize video retrieval. The experimental results for TV sports video of football games indicate that the multimodal analysis is effective for video retrieval by quickly browsing tree-like video clips or inputting keywords within predefined domain.

Citation Download Citation

Yiqing Yu, Huayong Liu, Hongbin Wang, and Dongru Zhou "Content-based TV sports video retrieval using multimodal analysis", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539877

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