立体视频编码中的目标分割与立体匹配算法
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Supported by the Project-Sponsored by SRF for ROCS, SEM under Grant No.2001331 (教育部留学归国人员科研基金); the Natural Science Foundation of Zhejiang Province of China under Grant Nos.RC01057, 601017 (浙江省自然科学基金); the Open Project Foundation of National Key Laboratory of ISN of Xidian of China under Grant No.H02025 (西安电子科技大学ISN国家重点实验室开放基金); the Key Doctor Foundation of Ningbo of China under Grant No.01J20300-05 (宁波市重点博士基金)


New Algorithms for Object Segmentation and Stereo Correspondence in Stereo Video Coding
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    摘要:

    视频目标分割与立体匹配是目标基立体视频编码中的核心技术.首先在单通道视频目标分割的基础上提出一种轮廓跟踪匹配算法,以提取立体视频目标对,然后提出一种基于目标的视差估计算法.它以具有特征信息的像素为匹配基元,结合视差匹配约束进行视差估计,克服了传统块匹配算法视差场不连续、视差精度差的缺点,可以获得较为精确和平滑的视差场.

    Abstract:

    Video object segmentation and stereo correspondence is a key technology in object-based stereo video coding. In this paper, based on an algorithm for extracting video object in one view-channel, a new contour tracking and correspondence algorithm is first proposed for extracting stereo video object pairs. Then, a disparity estimation algorithm based on video objects is proposed. It takes a characteristic pixel as a correspondence primitive and the disparity estimation is implemented with disparity constraints. The disadvantages of discontinuous and imprecise disparities with the traditional block-based algorithms can be improved and a precise and smooth disparity field can be finally acquired.

    参考文献
    [1]Naemura T, Kaneko M, Harashima H. Compression and representation of 3-D images. IEICE Transactions on INF.& SYST, 1999, E82-D(3):558~565.
    [2]Strintzis MG, Malassiotis S. Object-Based coding of stereoscopic and 3D image sequences. IEEE Signal Processing Magazine, 1999,16(3):14~28.
    [3]Ohm JR. Encoding and reconstruction of multiview video objects. IEEE Signal Processing Magazine, 1999,12(7):47~54.
    [4]Pedersini F, Sarti A, Tubaro S. Multi-Camera systems. IEEE Signal Processing Magazine, 1999,16(3):55~65.
    [5]Zhu ZJ, Jiang GY, Yu M, Wu XW. New algorithm for extracting moving object based on spatio-temporal information. Acta Electronica Sinica. 2003,31(9):1426~1428 (in Chinese with English abstract).
    [6]Lin CW, Fei EY, Chen YC. Hierarchical disparity estimation in stereo sequence. IEEE Transactions on Consumer Electronics, 1998, 44(3):630~637.
    [7]Grammalidis N, Strintzis MG. Disparity and occlusion estimation in multi-ocular systems and their coding for the communication of multiview image sequences. IEEE Transactions on Circuits and System Video Technology, 1998,8(3):328~344.
    [8]Jeong H, Oh Y. Fast stereo matching using constraints in discrete space. IEICE Transactions on Information and Systems, 2000,E83-D(7):1592~1600.
    [9]Zhu ZJ, Jiang GY, Yu M, Wu XW. Fast disparity estimation algorithm for stereoscopic image sequence coding. In: Yuan BZ, Tang XF, eds. Proceedings of the IEEE Region 10 Technical Conference on Computers, Communications, Control and Power Engineer (TENCON 2002). Beijing: IEEE Press and POSTS&TELECOM Press, 2002. 28~31.
    [10]朱仲杰,蒋刚毅,郁梅,吴训威.目标基视频编码中的运动目标提取与跟踪算法.电子学报,2003,31(9):1426~1428.
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朱仲杰,郁梅,蒋刚毅,吴训威.立体视频编码中的目标分割与立体匹配算法.软件学报,2003,14(11):1971-1976

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  • 收稿日期:2002-12-25
  • 最后修改日期:2003-01-28
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