Metadata handling: A video perspective
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Video summarisation: A conceptual framework and survey of the state of the art
Journal of Visual Communication and Image Representation
Mathematical Linguistics in Cognitive Medical Image Interpretation Systems
Journal of Mathematical Imaging and Vision
VISON: VIdeo Summarization for ONline applications
Pattern Recognition Letters
Video key frame extraction through dynamic Delaunay clustering with a structural constraint
Journal of Visual Communication and Image Representation
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In this paper, we present a semantic summarization algorithm that interfaces with the metadata and that works in compressed domain, in particular MPEG-1 and MPEG-2 videos. In enabling a summarization algorithm through high-level semantic content, we try to address two major problems. First, we present the facility provided in the DVA system that allows the semi-automatic creation of this metadata. Second, we address the main point of this system which is the utilization of this metadata to filter out frames, creating an abstract of a video summary quality survey indicates that the proposed method performs satisfactorily.