In this paper, we introduce a generic method for helping CNN-filters deal with variable quantization noises. A feasible solution to this problem can be ...
Oct 25, 2020 · This paper presents a generic method to help an arbitrary CNN-filter handle different quantization noise. We model the quantization noise ...
A QP-Adaptive Convolutional Neural Network Filter for Video Coding ...
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Apr 6, 2022 · We propose a frequency and spatial QP-adaptive mechanism (FSQAM), which can be directly applied to the (vanilla) convolution to help any CNN filter handle ...
Sep 12, 2024 · This paper presents a generic method to help an arbitrary CNN-filter handle different quantization noise. We model the quantization noise ...
Liu et al. [27] proposed a QP-adaptive method and applied it to CNN-filters in video coding, improving coding efficiency with only 25% of the parameters ( ...
Oct 25, 2020 · This paper presents a generic method to help an arbitrary CNN-filter handle different quantization noise. We model the quantization noise ...
A QP-adaptive Mechanism for CNN-based Filter in Video Coding · One-for-all: An Efficient Variable Convolution Neural Network for In-loop Filter of VVC.
A QP-adaptive Mechanism for CNN-based Filter in Video Coding. Chao Liu 1 ... Convolutional Neural Network for In-Loop Filtering in High Efficiency Video Coding.
A QP-adaptive Mechanism for CNN-based Filter in Video Coding. record by Heming Sun • A QP-adaptive Mechanism for CNN-based Filter in Video Coding. Chao Liu ...
Oct 25, 2020 · To begin with, we present the modeling to the problem. Then the implemented solution for CNN is provided. 3.1. Proposed QP-adaptive Mechanism.