An advanced user-oriented summary extraction method for soccer video is proposed in this work. Firstly, an algorithm
of user-oriented summary extraction for soccer video is introduced. A novel approach that integrates multimodal
analysis, such as extraction and analysis of the stadium features, moving object features, audio features and text features
is introduced. By these features the semantic of the soccer video and the highlight mode are obtained. Then we can find
the highlight position and put them together by highlight degrees to obtain the video summary. The experimental results
for sports video of world cup soccer games indicate that multimodal analysis is effective for soccer video browsing and
retrieval.
This paper focus on TV news programs and design a content-based news video browsing and retrieval system, NVRS,
which is convenient for users to fast browsing and retrieving news video by different categories such as political,
finance, amusement, etc. Combining audiovisual features and caption text information, the system automatically
segments a complete news program into separate news stories. NVRS supports keyword-based news story retrieval,
category-based news story browsing and generates key-frame-based video abstract for each story. Experiments show
that the method of story segmentation is effective and the retrieval is also efficient.
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