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김동신(Dongsin Kim),오병태(Byung Tae Oh) 한국방송·미디어공학회 2021 한국방송공학회 학술발표대회 논문집 Vol.2021 No.6
In this paper, we propose a new method for inactive region padding using reinforcement learning. Inactive region is an area that has no information, such as 360 or 3DOF+ vidoes. However, these inactive regions degrade the compression performance in general. To improve the compression performance, simple filtering is applied between active and inactive regions. But it does not fully consider the characteristics of the images. In the proposed method, inactive regions are padded through reinforcement learning that can consider the characteristics of images and the compression process. Experimental results show that the performance is better than the conventional padding method.