Secondly, the first I-frame is selected as key-frame, and DC image of the I-frame is reconstructed. 然后提取每个镜头中的第一个I帧作为关键帧,重构其DC图象;
For I-frame coding, existing coding standards only take use of information of itself, and for P-frame and B-frame, inter-frame information is used. 在以往视频压缩编码标准的算法中,I帧的压缩算法都是只利用帧内信息的帧内压缩算法,只有B帧和P帧利用的是帧间的信息。
Furthermore, compared with Pan's scheme based on edged direction histogram, the proposed scheme reduces coding time 12%~ 33% for I-frame while keeping PSNR and bit rate almost unchanged. 与Pan的基于边缘方向直方图快速算法相比,本文算法的I帧编码时间降低12%~33%,PSNR和输出码率均基本保持不变。
The embedded watermark by such algorithm can be extracted blindly without affecting the I-frame image quality and degrading PSNR compared with original image. 水印的提取具有盲检功能,无需原图象;水印的嵌入不影响I帧的图象质量,与嵌入水印前的原压缩图象相比,嵌入水印后的视频图象信噪比损失很小。
First, we use median filter to process the I-frame of the video file. Second, count the information change of I-frame before and after median filter, and judge if the video file contain hidden information base on the count result. 首先,使用改进后的中值滤波算法对视频文件I帧进行处理;然后,对滤波前后I帧数据的变化进行统计;根据统计结果,使用相应的差值分析方法计算视频文件中是否含有隐藏信息。
The algorithm at the decoder according to the changes in intensity of the video scene to provide adaptive I-frame error recovery strategies, and to match during the macro block adjacent macroblocks according to the state to provide adaptive search strategy. 该算法在解码端可以根据视频场景的变化剧烈程度提供自适应的I帧错误遮蔽策略,并能在进行宏块匹配时能根据相邻宏块状态提供自适应的搜索策略。
To modify this, we regulate adaptively the quantization parameter of each I-frame according to GOP complexion to avoid the buffer overflow and frame-skipping. 为了改进此缺点,基于GOP的整体情况自适应调整I帧的量化参数,从而避免缓冲区溢位与跳帧的问题。
The main study of this paper concludes two parts: I-frame error concealment and P-frame error concealment. 本文研究的主要内容包括两个方面:I帧错误掩盖和P帧错误掩盖。
Then based on the basis of deeply analyzing the encoding structure of MPEG-2 video, the paper proposes the algorithm of how to directly extract I-Frame from compressed video, which overcomes the flaws of traditional video retrieval algorithm that is extracting the video and then processing. 之后详细分析了MPEG-2编码的视频流结构,在此基础上,提出了在压缩域上直接提取I帧的方法,克服了传统视频检索算法先解压视频文件再进行处理的缺陷。
By QCBM, the P-frames closer to the reference I-frame of the group of pictures would have more bit budgets and higher coding qualities, which would enhance the reference frame quality. QCBM方法使得接近I帧的P帧能够分配到较多的比特预算并且获得较好的编码质量,使得后几帧有高质量的参考帧,从而提高整体视频编码的性能。
This paper presents the following improvements for these deficiencies: Put forward a selection algorithm of initial quantization parameter based on bpp and the complexity of I-frame. 对此,本文作了如下改进:提出了基于bpp和I帧复杂的初始量化参数的选取算法。