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Improved HEVC video compression algorithm using low-complexity frame rate up conversion
Journal of Electronic Imaging ( IF 1.0 ) Pub Date : 2021-05-01 , DOI: 10.1117/1.jei.30.3.033015
Hongwei Lin 1 , Xiangqun Li 1 , Mingliang Gao 1 , Tao Li 2
Affiliation  

The high-efficiency video coding (HEVC) standard can reduce the bit rate of compression video. However, the compression efficiency of HEVC is still challenging current internet bandwidth. This problem can be solved by reducing the number of video frames encoded by HEVC and reconstructing the reduced frames that rely on frame rate up conversion (FRUC). Unfortunately, most existing FRUC methods need to re-estimate the motion information, a step that will lead to a huge increase of video decoder complexity. An improved HEVC video compression algorithm using low-complexity FRUC is proposed based on reusing the motion vector (MV) predicted by HEVC encoding procedure to directly reconstruct the skipped frames. First, an adaptive frame-skipping scheme is used to maximize reducing the number of frames that will encode by HEVC. Second, decoder extracts the MV and residual from the received bit stream. Then an MV reliability checking and rectifying method is proposed according to adaptive residual energy analyzing. Finally, a motion-compensation method and efficient occluded area processing algorithm are proposed to reconstruct skipped frames. These methods all directly utilize the rectified MVs. Experimental results show that due to the reduced frames and decoder that does not need to re-estimate MV, the proposed method can not only significantly decrease the time of all codec procedure when comparing HEVC and other FRUC-based video compression methods but also achieve 9.7022% to 66.0030% reduction in Bjøntegaard delta bit rate at low bit rates when compared to HEVC standard. In addition, the compression of the proposed method is also better than other state-of-the-art methods.

中文翻译:

使用低复杂度帧率上转换改进 HEVC 视频压缩算法

高效视频编码(HEVC)标准可以降低压缩视频的比特率。然而,HEVC 的压缩效率仍然挑战当前的互联网带宽。这个问题可以通过减少由 HEVC 编码的视频帧的数量并重建依赖于帧率上转换 (FRUC) 的减少的帧来解决。不幸的是,大多数现有的 FRUC 方法需要重新估计运动信息,这一步骤将导致视频解码器复杂度的巨大增加。基于重用HEVC编码过程预测的运动矢量(MV)直接重建跳帧,提出了一种使用低复杂度FRUC的改进HEVC视频压缩算法。首先,自适应跳帧方案用于最大限度地减少将由 HEVC 编码的帧数。第二,解码器从接收到的比特流中提取 MV 和残差。然后根据自适应剩余能量分析提出了一种MV可靠性检查和校正方法。最后,提出了一种运动补偿方法和有效的遮挡区域处理算法来重建跳帧。这些方法都直接利用整流后的 MV。实验结果表明,由于减少了帧数和解码器不需要重新估计MV,与HEVC和其他基于FRUC的视频压缩方法相比,所提出的方法不仅可以显着减少所有编解码器过程的时间,而且达到9.7022与 HEVC 标准相比,低比特率下的 Bjøntegaard delta 比特率降低 % 至 66.0030%。此外,所提出方法的压缩也优于其他最先进的方法。
更新日期:2021-05-30
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