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<p>The research of the Image Processing group at the Mathematics/Computer Science Department of the University of Bremen was initially driven by requirements from the field of image retrieval, but it progressed very quickly to video and multimedia document analysis including texts, images, videos, and sound. By adopting symbolic image and video feature descriptions, it could also cover different challenging application areas such as Internet image search, search in TV archives and digital media art libraries, support for blind people, RoboCup vision technology, intercultural analysis of TV broadcasts, and next generation visual archives. In a definitely ambitious (and most successful) endeavor in 2005/2006, eleven highly engaged master students of a one-year student course project integrated the available combined image, video, and sound research results (and OpenCV!) with the goal to implement a movie trailer generator for different Hollywood movie genres. Their result was improved by 26 students in a second two-year student course project, especially in the trailer composition phase.</p>

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From Image Processing to Knowledge-based Video Generation at the University of Bremen 1993–2013

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  • 发表日期：

    2026年6月24日

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  • Otthein Herzog

摘要

The research of the Image Processing group at the Mathematics/Computer Science Department of the University of Bremen was initially driven by requirements from the field of image retrieval, but it progressed very quickly to video and multimedia document analysis including texts, images, videos, and sound. By adopting symbolic image and video feature descriptions, it could also cover different challenging application areas such as Internet image search, search in TV archives and digital media art libraries, support for blind people, RoboCup vision technology, intercultural analysis of TV broadcasts, and next generation visual archives. In a definitely ambitious (and most successful) endeavor in 2005/2006, eleven highly engaged master students of a one-year student course project integrated the available combined image, video, and sound research results (and OpenCV!) with the goal to implement a movie trailer generator for different Hollywood movie genres. Their result was improved by 26 students in a second two-year student course project, especially in the trailer composition phase.