English  |  正體中文  |  简体中文  |  Items with full text/Total items : 66984/66984 (100%)
Visitors : 23032360      Online Users : 462
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU 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: http://ir.lib.ncu.edu.tw/handle/987654321/52107


    Title: System Level Design and Implementation for Region-of-Interest Segmentation
    Authors: Tsai,TH;Lin,CY;Lin,YF
    Contributors: 電機工程學系
    Keywords: VIDEO OBJECT SEGMENTATION;AUTOMATIC SEGMENTATION;MOVING-OBJECTS;SEQUENCES;TRACKING
    Date: 2011
    Issue Date: 2012-03-28 10:15:37 (UTC+8)
    Publisher: 國立中央大學
    Abstract: Region-of-interested (ROI) segmentation is one of the important applications in content-based processing. Although much work has been done in this area, relatively little work has been reported to the ROI segmentation with an implementation consideration. This paper presents a system level design with edge-based ROI segmentation. In order to improve the overall system performance, we propose a computationally efficient algorithm to reduce the complexity in segmentation. Based on the algorithm level development, we put more efforts on the realization with a single board platform system. The system is based on the hybrid architecture, including the associating synchronous modules and asynchronous modules. Detailed task partitions are well scheduled. The system integrates the acquisition and visualization modules for video stream input and output, the transition module for video format transformation, and the DSP processing module for ROI segmentation. We also present a number of optimization techniques in fixed-point arithmetic, memory usage, data transfer and parallel processing. Experiments are performed in the dynamic natural environment. The proposed system can segment ROI well. The run-time results achieve 66 images per second on QCIF format and validate the perspective of using ROI segmentation in content-based applications.
    Relation: JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
    Appears in Collections:[電機工程學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML252View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明