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We have extended our Sports Video Browsing framework for Personal Video Recorders, such as Recordable-DVD Recorders, Blu-ray Disc Recorders and/or Hard Disc Recorders, to music segment detection. Our extension to Japanese broadcast music video programs consists of detecting audio segment boundaries such as conversations with guests followed by music/song etc. Our proposed system first identifies the music/song scenes using audio analysis, and then adjusts the start/end position by detecting video shot changes, so as to achieve accurate detection of the music segment thus enabling rapid browsing. Our preliminary results indicate that our audio-only summarization with scene change support works well for music video content. We can therefore integrate the enhancement into our product at a low computational cost. [ABSTRACT FROM AUTHOR]

We extend our Sports Video Browsing framework for Personal Video Recorders, such as DVD Recorders, Blu-ray Disc Recorders and/or Hard Disc Recorders, to other genres. We reduce the computational complexity by reducing the number of audio classes to a small but useful set that is useful for both sports video and music video, as well as by reducing the complexity of the Gaussian Mixture Models. Our extension to music video content consists of detecting music/song periods by compensating for false alarms. Our results indicate that our enhanced audio-only summarization maintains the sports video performance and works well with music video content. We can therefore integrate the enhancement into our product while in fact reducing the computational complexity. [ABSTRACT FROM AUTHOR]