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Investigation of distortion-constrained video encoding and its application to visual saliency guided compression

机译:失真约束视频编码的研究及其在视觉显着性压缩中的应用

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We present a novel macroblock mode decision approach for video encoder. It aims at minimizing the rate given a certain distortion constraint. Motivated by the fact that humans perceive only a small area around the eye-fixation point very clearly, the presented mode decision algorithm is designed to tolerate a certain amount of distortion depending on the visual importance of a region within a frame. Furthermore, the proposed approach is extended by a quantizer modification scheme. With this, improvements of up to 1 dB in terms of eye-tracking-weighted PSNR compared to conventional rate-distortion optimization are possible.
机译:我们提出了一种新颖的视频编码器宏块模式决策方法。其目的是在给定一定的失真约束的情况下将速率最小化。受人类非常清楚地感知到眼睛固定点周围很小区域这一事实的启发,提出的模式决策算法旨在根据帧中某个区域的视觉重要性来承受一定程度的失真。此外,通过量化器修改方案扩展了所提出的方法。这样,与传统的速率失真优化相比,在眼动跟踪加权PSNR方面的改进可能高达1 dB。

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