淡江大學機構典藏:Item 987654321/55116
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3947211      Online Users : 601
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/55116


    Title: An Adaptive Video Shot Boundary Detection Method and Application to Soccer Video
    Authors: Yen, Shwu-huey;Tsai, Wen-tsung;Lin, Hwei-jen
    Contributors: 淡江大學資訊工程學系
    Keywords: shot boundary detection;SBD;abrupt transitions;gradual transitions;pixel change ratio map;PCRM;soccer video
    Date: 2009-08
    Issue Date: 2011-08-16 17:55:24 (UTC+8)
    Publisher: Allahabad: Pushpa Publishing House
    Abstract: This paper presents a shot boundary detection algorithm using morphological opening with structuring elements consistent to the acute level of a shot. By this way, the difficulty on indistinctness of gradual transitions is solved. The algorithm is applied to soccer video and the resulting shots are further classified as long, medium, or close-up/others shots. The classification algorithm is based on grass pixel ratio which is calculated with motion and color features without the need of pre-training or updating. Both shot detection and classification algorithms are tested on various types of videos and soccer video with excellent results.
    Relation: Far East Journal of Experimental and Theoretical Artificial Intelligence 3(2), pp.81-100
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

    Files in This Item:

    There are no files associated with this item.

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback