Description: In this paper we present a scheme for integrating a digital stabilizer with video codec of a digital video camera. This integration achieves computational efficiency without affecting the performance of video coding and digital stabilization. The proposed scheme achieves this by confining the global motion estimation to within a small background region determined by clustering the motion vectors generated by the video encoder.- In this paper we present a scheme for integrating a digital stabilizer with video codec of a digital video camera. This integration achieves computational efficiency without affecting the performance of video coding and digital stabilization. The proposed scheme achieves this by confining the global motion estimation to within a small background region determined by clustering the motion vectors generated by the video encoder. Platform: |
Size: 4096 |
Author:prasad |
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Description: 本文提出并得出快速可变块大小运动估计算法，在此基础上分析比较H264、MPEG4、AVC视频编码算法。文中提供的算法减少运算，以较少的运算量获得较高的图像质量。-This paper proposes and investigates fast variable block-size
motion estimation algorithms based on merge and split
procedures for H.264/MPEG-4 AVC video encoding. The
algorithms take advantage of the correlation of the Motion
Vectors (MVs) of the different block-size modes, to achieve
good computation reduction. Experimental results show that the
number of search points can be reduced to about 4 of that
using full-search motion estimation, with negligible quality
degradation. Platform: |
Size: 121856 |
Author:成果 |
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Description: 手持式摄像机在使用时常常会受到使用者有意无意抖动的影响,从而影响成像效果，造成录制视频的不稳定及跳动问题，尤其是在使用者在一场景中特写或者跟踪某一具体目标时，使用者通常不能准确定位到或者估计出运动目标的位置，从而造成目标在视频中位置的不稳定，造成视频的主观效果变得不理想。
为了解决这一问题，我们需要设计一种算法来识别这种无意义的运动并设法通过补偿的方式来使得场景中的目标物体保持位置稳定的状态。
手持式摄像机捕获的视频通常都会受到抖动的影响，这严重的影响视频的主观效果。
这里提出的算法可以可靠的用于数字视频的去抖动。这个算法通过识别这些意外的抖动并且利用运动补偿的方法来获得一个较好的视频输出。
这个系统可以分为三个模块：（1）运动估计模块；（2）抖动识别模块；（3）运动补偿模块。
注：代码在matlab 7.7.0(R2008b)运行通过
[1] F Vella, A Castorina, M Mancuso. Digital image stabilization by adaptive block motion vectors filtering, IEEE Transactions on Consumer Electronics, 2002-Handheld cameras are often used by the user intentionally or unintentionally, the influence of jitter affect the imaging results, resulting in instability and beat the problem of recording video, and especially in the user in a scene close-up or tracking a specific target,users often can not accurately navigate to estimate the location of the moving target, resulting in the subjective effects of target location of the instability in the video, resulting in video not ideal.
In order to solve this problem, we need to design an algorithm to identify such a meaningless exercise and try to make the object in the scene to keep the position stable state by way of compensation.
The handheld camera captured video usually subject to the influence of jitter, the subjective effect of which seriously affect the video.
The algorithm proposed here can be reliably used for digital video to jitter. This algorithm by identifying the jitter of these accidents and the use of motion compensation m Platform: |
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Author:Andy He |
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Description: Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image (global motion estimation) or specific parts, such as rectangular blocks, arbitrary shaped patches or even per pixel. The motion vectors may be represented by a translational model or many other models that can approximate the motion of a real video camera, such as rotation and translation in all three dimensions and zoom.-Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image (global motion estimation) or specific parts, such as rectangular blocks, arbitrary shaped patches or even per pixel. The motion vectors may be represented by a translational model or many other models that can approximate the motion of a real video camera, such as rotation and translation in all three dimensions and zoom. Platform: |
Size: 349184 |
Author:doniya |
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Description: Opencv FSBMA motion estimation 實作-Implement full-search block-matching algorithm (FSBMA) to estimation the motion vectors of each frame in a video sequence.
2.
Use the simulated shaken video to test the FSBMA motion estimation.
3.
Display the motion-compensated frames using the estimated motion vectors.
4.
Display the displaced frame difference (DFD) frame.
5.
Examine the estimated motion vectors to see if the simulated global frame motion in the input video can be found by the FSBMA? Platform: |
Size: 20443136 |
Author:lu you |
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Description: image acquisition device to detect motion in the live video. It uses the optical flow estimation technique to estimate the motion vectors in each frame of the live video sequence Platform: |
Size: 6144 |
Author:kartik |
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Search - motion vectors to video