Review — Yue VCIP’20: A Mixed Appearance-based and Coding Distortion-based CNN Fusion Approach for In-loop Filtering in Video Coding (HEVC Filtering)

In this story, A Mixed Appearance-based and Coding Distortion-based CNN Fusion Approach for In-loop Filtering in Video Coding, (Yue VCIP’20), by University of Electronoc Science & Technology of China, and Shandong University. is reviewed. In this paper:

This is a paper in 2020 VCIP. (Sik-Ho Tsang @ Medium)

Outline

1. Overall Framework

Framework of the proposed mixed global appearance-based and local coding distortion-based CNN fusion for in-loop filtering

The proposed approach, as shown above, consists of two CNN branches and an extra skip connection.

2. Global appearance-based CNN filtering

Global appearance-based CNN filtering

3. Local coding distortion-based CNN filtering

Local coding distortion-based CNN filtering

3. Mixed Fusion

4. Experimental Results

BD-Rate (%)

PhD, Researcher. I share what I've learnt and done. :) My LinkedIn: https://www.linkedin.com/in/sh-tsang/, My Paper Reading List: https://bit.ly/33TDhxG

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