Description: 运动估计是视频编码的关键技术,其最基本的原理是利用相邻帧间的时间
相关性,通过预测来减少时间冗余度。在实际编码中,为了节省码率,并不传
输每一帧的全部数据,而是利用运动估计求出每一帧与其预测参考帧之间的差
值。运动估计越准确,差值的分布越趋近与零,差值块的能量越小,经过变换、
量化和熵编码后所产生的码流的比特位率也越少。因此,运动估计搜索的准确
程度直接影响到了编码的压缩性能。
-Motion estimation is the key to video encoding technology, its basic principle is the use of the adjacent time frame relevant, through the forecast period to reduce redundancy. In the actual code, in order to save bit rate and does not transfer all the data of each frame, but the use of motion estimation for each frame obtained with the prediction of the difference between the reference frame. Motion estimation more accurate, more closer to the margin and the distribution of zero, the smaller the energy difference between blocks, after transform, quantization and entropy coding of the code produced by the bit stream bit rate is less. Therefore, the motion estimation search accuracy of the direct impact on the performance of the compression coding. Platform: |
Size: 17408 |
Author:罗鹏 |
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Description: 人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会
议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为
当前模式识别和人工智能领域的一个研究热点。
本文提出了基于24位彩色图像对人脸进行识别的方法,介绍的主要内容是图像处理,它在整个软件中占有极其重要的地位,图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是:光线补偿、高斯平滑和二值化。在识别前,先对图像进行补光处理,再通过肤色获得可能的脸部区域,最后根据人脸固有眼睛的对称性来确定是否就是人脸,同时采用高斯平滑来消除图像的噪声,再进行二值化,二值化主要采用局域取阈值方法,接下来就进行定位、提取特征值和识别等操作。经过测试,图像预处理模块对图像的处理达到了较好的效果,提高了定位和识别的正确率- Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries , video meeting, and human-computer intelligent interactions.
The paper introduced the method of face recognition that based on the 24 bit multicolor image, Main content that the paper introduced is the picture treatment, It occupies the extremely important position in the whole software, the quality of picture process directly influenced the accuracy rate of localization and discerning. The picture process technology that the software mainly used included : light compensating、gauss smooth and twain value method. before discerning, we compensated the light for image, then we could obtain the possible face area through the complexion, finally, the system could depend on the symmetry of eyes to make sure whether it is the face of people, at the same time, the system could eliminate noises through the method that named gauss smoothness, then we use Platform: |
Size: 2286592 |
Author:张雨 |
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Description: 用MPGE进行压缩编码的变比特率视频流的建模方法介绍和步骤-MPGE compression with variable bit rate encoded video stream modeling methods and steps for introduction Platform: |
Size: 384000 |
Author:王凡 |
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Description: 全长变比特率基于MPGE压缩编码的视频流的源建模方法及知识的详细介绍-Full variable bit-rate coding based on video streaming MPGE source modeling methods and a detailed description of knowledge Platform: |
Size: 295936 |
Author:王凡 |
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Description: Matlab Code for:
Adaptive post-filtering for reducing blocking and ringing artifacts in low bit-rate video coding
in Signal Processing: Image Communication 17 (2002) 525–535 Platform: |
Size: 2048 |
Author:EhsanNadernejad |
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