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20202026
most citedRecent Standard Development Activities on Video Coding for Machines

31 citations · 68 across the 24 of their papers we have counts for

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10 papers · 1 filter

eess.IV2026

A Mamba-based Perceptual Loss Function for Learning-based UGC Transcoding

Zihao Qi, Chen Feng, Fan Zhang +3

In user-generated content (UGC) transcoding, source videos typically suffer various degradations due to prior compression, editing, or suboptimal capture conditions. Consequently,…

eess.IV2024

BVI-UGC: A Video Quality Database for User-Generated Content Transcoding

Zihao Qi, Chen Feng, Fan Zhang +3

In recent years, user-generated content (UGC) has become one of the major video types consumed via streaming networks. Numerous research contributions have focused on assessing its…

eess.IV2024★ 7 cited

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results

Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova +29

Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of…

eess.IV2024

NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results

Xin Li, Kun Yuan, Yajing Pei +65

This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected da…

eess.IV2023★ 4 cited

Full-reference Video Quality Assessment for User Generated Content Transcoding

Zihao Qi, Chen Feng, Duolikun Danier +4

Unlike video coding for professional content, the delivery pipeline of User Generated Content (UGC) involves transcoding where unpristine reference content needs to be compressed r…

eess.IV2023

Corner-to-Center Long-range Context Model for Efficient Learned Image Compression

Yang Sui, Ding Ding, Xiang Pan +4

In the framework of learned image compression, the context model plays a pivotal role in capturing the dependencies among latent representations. To reduce the decoding time result…

eess.IV2023★ 3 cited

Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description

Yipeng Liu, Qi Yang, Yujie Zhang +4

The visual quality of point clouds plays a crucial role in the development and broadcasting of immersive media. Therefore, investigating point cloud quality assessment (PCQA) is in…

eess.IV2022

Enhancing HDR Video Compression through CNN-based Effective Bit Depth Adaptation

Chen Feng, Zihao Qi, Duolikun Danier +4

It is well known that high dynamic range (HDR) video can provide more immersive visual experiences compared to conventional standard dynamic range content. However, HDR content is…

eess.IV2021★ 10 cited

Tencent Video Dataset (TVD): A Video Dataset for Learning-based Visual Data Compression and Analysis

Xiaozhong Xu, Shan Liu, Zeqiang Li

Learning-based visual data compression and analysis have attracted great interest from both academia and industry recently. More training as well as testing datasets, especially go…

eess.IV2020★ 4 cited

A software decoder implementation for H.266/VVC video coding standard

Bin Zhu, Shan Liu, Yuan Liu +8

Versatile Video Coding Standard (H.266/VVC) was completed by Joint Video Expert Team (JVET) of ITU-T and ISO/IEC, in July 2020. This new ITU recommendation/international standard i…