论文标题

利用时间关注功能,以有效地降级视频

Exploiting Temporal Attention Features for Effective Denoising in Videos

论文作者

Omray, Aryansh, Jain, Samyak, Krishnan, Utsav, Chattopadhyay, Pratik

论文摘要

视频DeNoising是任何视频处理管道的基本任务之一。由于视频帧的温度方面,它与图像降级不同,任何图像DeNoising方法应用于视频都将导致闪烁。提出的方法使用视频帧的使用时间和空间维度作为两阶段管道的一部分。称为时空网络的架构中的每个阶段都使用渠道注意机制将编码器转发到解码器侧。本文使用的注意力块Usessoft的注意力将过滤器排名以进行更好的培训。

Video Denoising is one of the fundamental tasks of any videoprocessing pipeline. It is different from image denoising due to the tem-poral aspects of video frames, and any image denoising approach appliedto videos will result in flickering. The proposed method makes use oftemporal as well as spatial dimensions of video frames as part of a two-stage pipeline. Each stage in the architecture named as Spatio-TemporalNetwork uses a channel-wise attention mechanism to forward the encodersignal to the decoder side. The Attention Block used in this paper usessoft attention to ranks the filters for better training.

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