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MPEG-2 Compressed-Domain Algorithms for Video Analysis

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Knowhow Description: This paper presents new algorithms for extracting metadata from video sequences in the MPEG-2 compressed domain. Three algorithms for efficient low-level metadata extraction in preprocessing stages are described. The first algorithm detects camera motion using the motion vector field of an MPEG-2 video. The second method extends the idea of motion detection to a limited region of interest, yielding an efficient algorithm to track objects inside video sequences. The third algorithm performs a cut detection using macroblock types and motion vectors.
Applicable Work Packages: WP5: Detection, Extraction and Annotation of Knowledge.
Declaring Partner: IAIS	Full Name of Creator(s): Stefan Eickeler, Wolfgang Hesseler
Date of Declaration: 2007-03-15 16:18	Request for more detail

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Conditions:: Condition of use defined in response to "need to access request".
IPR Protection Status: Copyright Fraunhofer Institut Intelligente Analyse- und Informationssysteme.
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Public modus Closed, attachment is not public

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