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Coding optimization based on weighted-to-spherically-uniform quality metric for 360 video

机译:基于加权-球形均匀质量度量的360视频编码优化

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To optimize coding efficiency, an encoder minimizes total distortion under a constraint rate. Distortion criteria for conventional video uniformly measures coding error around picture. For non-equal area projection formats of 360 video, e.g., equirectangular projection (ERP), cube map projection (CMP), uniformly measured distortion cannot correctly represent coding loss on a watching sphere of panoramic visual content. In this paper, coding optimization based on weighted-to-spherically-uniform quality criteria is proposed to improve coding performance of 360 video, where adaptive quantization is applied in CTU level according to WS-PSNR weights. Since quantization parameter (QP) offset can be derived according to CTU position of 360 video at decoder side, no additional parameters need to be transmitted. Experimental results show that compared to coding with fixed QP, the proposed adaptive quantization method achieves 4.50%, 8.51% and 3.21% BD-rate reduction for ERP, rotated ERP and CMP on average, respectively.
机译:为了优化编码效率,编码器将约束速率下的总失真最小化。常规视频的失真标准统一测量图片周围的编码错误。对于360度视频的非等面积投影格式,例如等角投影(ERP),立方体地图投影(CMP),统一测量的失真无法正确表示全景视觉内容的观看范围内的编码损失。为了提高360度视频的编码性能,本文提出了一种基于权重均匀的质量准则的编码优化方法,其中根据WS-PSNR权重将自适应量化应用于CTU级别。由于可以根据解码器侧的360视频的CTU位置推导量化参数(QP)偏移,因此无需传输其他参数。实验结果表明,与固定QP编码相比,所提出的自适应量化方法平均可将ERP,旋转ERP和CMP的BD率分别降低4.50%,8.51%和3.21%。

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