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Extraction of TV highlights using multimedia features

The amount of digital multimedia content available to consumers is growing due to the digital capturing devices such as digital cameras and camcorders. With this increase in content, it becomes important for people to be able to browse and search for content in a timely manner. To enable efficient content-based video browsing, extracted descriptions and annotations are needed to represent the content. We present algorithms for the automatic extraction of highlights in video using audio, text and visual features. These extracted descriptions can be used for selective browsing of sports videos. We also present the experimental results for the proposed algorithms on several hours of sports programs.