Description: 为了减小运动估计算法的计算复杂度及提高视频压缩编码的效率,提出了一种新的快速、有效的块匹配运
动估计算法.-In order to reduce the motion estimation algorithm of the computational complexity and improve the efficiency of video compression coding, a new fast and effective block-matching motion estimation algorithm. Platform: |
Size: 586752 |
Author:孙翔 |
Hits:
Description: 】在对目前运动估计快速块匹配算法研究的基础上, 描述了运动估计的基本原理 揭示了提高运动估计效率的关键技术, 并对相关的算法进行了分析和比较 提出了运动估计算法今后的研究方向。-] In the current fast block-matching motion estimation algorithm based on the description of the basic principles of motion estimation revealed to enhance the efficiency of motion estimation of the key technologies, and related algorithm analysis and comparison of motion estimation algorithm proposed future research direction. Platform: |
Size: 67584 |
Author:孙翔 |
Hits:
Description: 基于块匹配的帧间运动估计,对相邻帧间背景运动计算运动矢量 ,使用了多种搜索算法对运动块进行搜索和匹配。-Block Matching Algorithms for Motion Estimation,This MATLAB source code is a review of the block matching algorithms used for motion estimation in video compression. It implements and compares 7 different types of block matching algorithms that range from the very basic Exhaustive Search to the recent fast adaptive algorithms like Adaptive Rood Pattern Search. Platform: |
Size: 4603904 |
Author:付亚峰 |
Hits:
Description: 运动估计的算法,基于matlab可以对运动物体过快的图像进行补偿-Motion estimation algorithm, based on the matlab fast moving objects on the image to compensate Platform: |
Size: 1024 |
Author:edison |
Hits:
Description: This paper (and accompanying MATLAB source code) is a review of the block matching algorithms used for motion estimation in video compression. It implements and compares 7 different types of block matching algorithms that range from the very basic Exhaustive Search to the recent fast adaptive algorithms like Adaptive Rood Pattern Search. The algorithms that are evaluated in this paper are widely accepted by the video compressing community and have been used in implementing various standards, ranging from MPEG1 / H.261 to MPEG4 / H.263. The paper also presents a very brief introduction to the entire flow of video compression.
by Aroh Barjatya
original found here http://www.mathworks.com/matlabcentral/fileexchange/8761-This paper (and accompanying MATLAB source code) is a review of the block matching algorithms used for motion estimation in video compression. It implements and compares 7 different types of block matching algorithms that range from the very basic Exhaustive Search to the recent fast adaptive algorithms like Adaptive Rood Pattern Search. The algorithms that are evaluated in this paper are widely accepted by the video compressing community and have been used in implementing various standards, ranging from MPEG1/H.261 to MPEG4/H.263. The paper also presents a very brief introduction to the entire flow of video compression.
by Aroh Barjatya
original found here http://www.mathworks.com/matlabcentral/fileexchange/8761
Platform: |
Size: 121856 |
Author:hbx |
Hits:
Description: This paper is a review of the block matching
algorithms used for motion estimation in video compression. It
implements and compares 7 different types of block matching
algorithms that range from the very basic Exhaustive Search to
the recent fast adaptive algorithms like Adaptive Rood Pattern
Search. The algorithms that are evaluated in this paper are
widely accepted by the video compressing community and have
been used in implementing various standards, ranging from
MPEG1 / H.261 to MPEG4 / H.263. The paper also presents a
very brief introduction to the entire flow of video compression-This paper is a review of the block matching
algorithms used for motion estimation in video compression. It
implements and compares 7 different types of block matching
algorithms that range from the very basic Exhaustive Search to
the recent fast adaptive algorithms like Adaptive Rood Pattern
Search. The algorithms that are evaluated in this paper are
widely accepted by the video compressing community and have
been used in implementing various standards, ranging from
MPEG1/H.261 to MPEG4/H.263. The paper also presents a
very brief introduction to the entire flow of video compression Platform: |
Size: 252928 |
Author:vikas |
Hits:
Description: This paper is a review of the block matching
algorithms used for motion estimation in video compression. It
implements and compares 7 different types of block matching
algorithms that range from the very basic Exhaustive Search to
the recent fast adaptive algorithms like Adaptive Rood Pattern
Search. The algorithms that are evaluated in this paper are
widely accepted by the video compressing community and have
been used in implementing various standards, ranging from
MPEG1 / H.261 to MPEG4 / H.263. The paper also presents a
very brief introduction to the entire flow of video compression Platform: |
Size: 102400 |
Author:Hari Prasad |
Hits:
Description: 亚像素位移快速匹配方法的代码实现,可以精确到亚像素运动估计。也是图像超分辨率重建的一个重要内容-Fast sub-pixel displacement matching method code can be accurate to sub-pixel motion estimation. Image super-resolution reconstruction is an important element of Platform: |
Size: 292864 |
Author:罗国中 |
Hits:
Description: LIBVISO2: C++ Library for Visual Odometry 2LIBVISO2 (Library for Visual Odometry 2) is a very fast cross-platfrom (Linux, Windows) C++ library with MATLAB wrappers for computing the 6 DOF motion of a moving mono/stereo camera. The stereo version is based on minimizing the reprojection error of sparse feature matches and is rather general (no motion model or setup restrictions except that the input images must be rectified and calibration parameters are known). The monocular version is still very experimental and uses the 8-point algorithm for fundamental matrix estimation.-LIBVISO2: C++ Library for Visual Odometry 2LIBVISO2 (Library for Visual Odometry 2) is a very fast cross-platfrom (Linux, Windows) C++ library with MATLAB wrappers for computing the 6 DOF motion of a moving mono/stereo camera The stereo version is. based on minimizing the reprojection error of sparse feature matches and is rather general (no motion model or setup restrictions except that the input images must be rectified and calibration parameters are known). The monocular version is still very experimental and uses the 8-point algorithm for fundamental matrix estimation. Platform: |
Size: 3335168 |
Author:李志滨 |
Hits: