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GOP Structure Adaptable to the Location of Shot Cuts

机译:适用于快捷方式位置的GOP结构

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摘要

In this paper we present a novel two stage algorithm for improving video coding efficiency. The proposed method combines video cut detection and adaptive GOP structure. At first, we have proposed a new technique of frames' comparison for the shot cut detection. The majority of existing methods compare pairs of successive frames. We compare actual frame with its motion estimated prediction. We also present adaptive threshold. The efficiency of novel technique for video cut detection was confirmed through experiment and compared to the commonly used ones in the terms of recall and precision. The next step is to situate I frames to the positions of detected cuts during the process of video encoding. Finally the proposed method is verified by simulations and the obtained results are compared with fixed GOP structures of sizes 4,8,12,16,32,64,128 and GOP structure with length of entire video. Proposed method achieved the gain in bit rate from 15,33% to 50,59%, while not degrading PSNR in comparison to simulated fixed GOP structures.
机译:在本文中,我们提出了一种新颖的两阶段算法来提高视频编码效率。所提出的方法结合了视频剪辑检测和自适应GOP结构。首先,我们提出了一种用于镜头切换检测的帧比较新技术。大多数现有方法比较成对的连续帧。我们将实际帧与其运动估计的预测进行比较。我们还提出了自适应阈值。通过实验证实了新技术对视频剪辑检测的效率,并在召回率和精度方面与常用技术进行了比较。下一步是将I帧放置在视频编码过程中检测到的剪切片段的位置。最后通过仿真验证了所提方法的有效性,并将所得结果与尺寸为4,8,12,16,32,64,128的固定GOP结构以及具有整个视频长度的GOP结构进行了比较。与模拟的固定GOP结构相比,提出的方法实现了比特率从15.33%到50.59%的增益,同时不会降低PSNR。

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