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 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.
Update : 2025-02-17 Size : 573kb Publisher : 孙翔

Video object matching across multiple independent views using local descriptors and adaptive learning文章描述了多摄像机系统下的目标检测与跟踪,和自学习方法。很有参考价值。-Video object matching across multiple independent views using local descriptors and adaptive learning article describes a multi-camera system under the target detection and tracking, and self-learning methods. Useful reference value.
Update : 2025-02-17 Size : 2.13mb Publisher : 张涛


Update : 2025-02-17 Size : 2kb Publisher : fanfan

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.
Update : 2025-02-17 Size : 4.39mb Publisher : 付亚峰

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
Update : 2025-02-17 Size : 119kb Publisher : hbx

正交相关目标检测,采用正交相关方法检测指定目标在图像中的位置。适用于计算机视觉中的视频目标检测、视觉目标检测、目标定位、视觉目标跟踪、视频目标跟踪、图像匹配、图像配准等工作。-cross relation detection is used to detect object in image for in the field computer vision such as visual object detection, motion detection, object localization, visual object tracking, video object tracking, image registration, image matching, etc.
Update : 2025-02-17 Size : 107kb Publisher : 朱亮亮

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
Update : 2025-02-17 Size : 247kb Publisher : vikas


Update : 2025-02-17 Size : 2.76mb Publisher : 陈芳芳

视频处理有关MATLAB源程序,包括视频定位,视频模板匹配,视频分割,视频滤波,视频捕捉等-MATLAB source video processing, including video positioning, video template matching, video segmentation, video filtering
Update : 2025-02-17 Size : 1.84mb Publisher : coolbage

DL : 0
采用最新的BM3D(三维块匹配)方法进行的灰度图像,彩色图像和视频图像的去噪-Using the latest BM3D (three-dimensional block-matching) method for image, color images and video image denoising
Update : 2025-02-17 Size : 3.18mb Publisher : 周丽

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
Update : 2025-02-17 Size : 100kb Publisher : Hari Prasad

视频处理的二维运动估计中的穷尽块匹配算法(Exhaustive Block matching algorithm) 基于matlab环境,输出对锚定帧的预测帧,PSNR,以及运动向量。包括了整数像素精度和半像素精度的算法-The Exhaustive Block matching algorithm of Two-Dimensional Motion Estimation in video processing based on Matlab. Output the predicted frame to anchor frame, PSNR, and motion vector. Also contain the integer-pel EBMA and half-pel EBMA
Update : 2025-02-17 Size : 2kb Publisher : Adam_Z

Block Matching Algorithm for Motion Estimation in Video Coding using Matlab
Update : 2025-02-17 Size : 100kb Publisher : Lam Nguyen
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