An Implementation of the Video Retrieval System by Video Segmentation

DOI

Abstract

Image information is widely used for the content-based retrieval of the image sequence. It is mainly used to segment a video by scene. Through this task, the structural video browsing can be achieved. The process that divides video into shots is called “video segmentation”. For the video segmentation, detecting cut which is turn point of scene is called “cut detection”. In this paper, for the segmenting video, we use two MPEG-7 visual descriptors, which are the HMMD (Hue-Max-Min-Diff) color model and the EHD (Edge Histogram Descriptor). The goal of this paper is to implement the retrieval system as hardware by Verilog-HDL. We perform the FPGA verification, and implement the proposed retrieval system for the image sequence.

Journal

  • IEICE Proceeding Series

    IEICE Proceeding Series 27 1569126649-, 2008-10-14

    The Institute of Electronics, Information and Communication Engineers

Keywords

Details 詳細情報について

  • CRID
    1390282752337627776
  • NII Article ID
    230000000219
  • DOI
    10.34385/proc.27.1569126649
  • ISSN
    21885079
  • Text Lang
    en
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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