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Efficient motion-estimation algorithm for reduced frame-rate videotranscoder

机译:降低帧率视频转码器的高效运动估计算法

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In multimedia applications, it is often necessary to adapt the bit rates of the coded video bit streams to the available bandwidths of various communication channels. Because different networks may have different bandwidths, a gateway can include a transcoder to adapt the video bit rates in order to provide video services to users on different networks. In transcoding, motion estimation is usually not performed in the transcoder because of its heavy computational complexity. To speed up the operation, a video transcoder usually reuses the decoded motion vectors (MVs) from the incoming bitstream. Previously, the bilinear interpolation and forward dominant vector selection methods were proposed to compose the missing MVs for reuse. We propose a new algorithm, called the activity dominant vector selection, which utilizes the quantized discrete cosine transform coefficients of residual blocks for composing a MV from the incoming ones. In addition, a motion-vector refinement algorithm called variable step-size search is presented. The performance can be improved while maintaining low computational complexity for a reduced frame-rate video transcoder
机译:在多媒体应用中,经常需要使编码视频比特流的比特率适应各种通信信道的可用带宽。由于不同的网络可能具有不同的带宽,因此网关可以包括代码转换器,以调整视频比特率,以便向不同网络上的用户提供视频服务。在代码转换中,由于其计算量大,通常在代码转换器中不执行运动估计。为了加快操作速度,视频代码转换器通常会重用来自输入比特流的解码运动矢量(MV)。以前,提出了双线性插值和前向优势矢量选择方法来组成缺失的MV,以备重用。我们提出了一种新的算法,称为活动占优矢量选择,该算法利用残差块的量化离散余弦变换系数来根据传入的MV构成MV。另外,提出了一种运动矢量细化算法,称为可变步长搜索。可以在保持较低计算复杂度的同时提高性能,以降低帧速率视频转码器

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