313 citations · 1.4k across the 26 of their papers we have counts for
27 papers
Comparison of HDR quality metrics in Per-Clip Lagrangian multiplier optimisation with AV1
Vibhoothi, François Pitié, Angeliki Katsenou +3
The complexity of modern codecs along with the increased need of delivering high-quality videos at low bitrates has reinforced the idea of a per-clip tailoring of parameters for op…
Rate-Distortion Optimization With Alternative References For UGC Video Compression
Xin Xiong, Eduardo Pavez, Antonio Ortega +1
User generated content (UGC) refers to videos that are uploaded by users and shared over the Internet. UGC may have low quality due to noise and previous compression. When re-encod…
Direct Optimisation of for HDR Content Adaptive Transcoding in AV1
Vibhoothi, François Pitié, Angeliki Katsenou +6
Since the adoption of VP9 by Netflix in 2016, royalty-free coding standards continued to gain prominence through the activities of the AOMedia consortium. AV1, the latest open sour…
ACM Multimedia Grand Challenge on Detecting Cheapfakes
Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen +5
Cheapfake is a recently coined term that encompasses non-AI (``cheap'') manipulations of multimedia content. Cheapfakes are known to be more prevalent than deepfakes. Cheapfake med…
CONVIQT: Contrastive Video Quality Estimator
Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang +2
Perceptual video quality assessment (VQA) is an integral component of many streaming and video sharing platforms. Here we consider the problem of learning perceptually relevant vid…
Making Video Quality Assessment Models Sensitive to Frame Rate Distortions
Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang +2
We consider the problem of capturing distortions arising from changes in frame rate as part of Video Quality Assessment (VQA). Variable frame rate (VFR) videos have become much mor…
Perceptual Quality Assessment of UGC Gaming Videos
Xiangxu Yu, Zhengzhong Tu, Neil Birkbeck +3
In recent years, with the vigorous development of the video game industry, the proportion of gaming videos on major video websites like YouTube has dramatically increased. However,…
Subjective and Objective Analysis of Streamed Gaming Videos
Xiangxu Yu, Zhenqiang Ying, Neil Birkbeck +3
The rising popularity of online User-Generated-Content (UGC) in the form of streamed and shared videos, has hastened the development of perceptual Video Quality Assessment (VQA) mo…
Compression of user generated content using denoised references
Eduardo Pavez, Enrique Perez, Xin Xiong +2
Video shared over the internet is commonly referred to as user generated content (UGC). UGC video may have low quality due to various factors including previous compression. UGC vi…
Image Quality Assessment using Contrastive Learning
Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang +2
We consider the problem of obtaining image quality representations in a self-supervised manner. We use prediction of distortion type and degree as an auxiliary task to learn featur…
High Frame Rate Video Quality Assessment using VMAF and Entropic Differences
Pavan C Madhusudana, Neil Birkbeck, Yilin Wang +2
The popularity of streaming videos with live, high-action content has led to an increased interest in High Frame Rate (HFR) videos. In this work we address the problem of frame rat…
MMSys'21 Grand Challenge on Detecting Cheapfakes
Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen +5
Cheapfake is a recently coined term that encompasses non-AI ("cheap") manipulations of multimedia content. Cheapfakes are known to be more prevalent than deepfakes. Cheapfake media…
Multi-feature 360 Video Quality Estimation
Roberto G. de A. Azevedo, Neil Birkbeck, Ivan Janatra +2
We propose a new method for the visual quality assessment of 360-degree (omnidirectional) videos. The proposed method is based on computing multiple spatio-temporal objective quali…
Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models
Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen +4
Video and image quality assessment has long been projected as a regression problem, which requires predicting a continuous quality score given an input stimulus. However, recent ef…
RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
Zhengzhong Tu, Xiangxu Yu, Yilin Wang +3
Blind or no-reference video quality assessment of user-generated content (UGC) has become a trending, challenging, heretofore unsolved problem. Accurate and efficient video quality…
ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality Prediction
Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang +2
We consider the problem of conducting frame rate dependent video quality assessment (VQA) on videos of diverse frame rates, including high frame rate (HFR) videos. More generally,…
Adaptive Debanding Filter
Zhengzhong Tu, Jessie Lin, Yilin Wang +2
Banding artifacts, which manifest as staircase-like color bands on pictures or video frames, is a common distortion caused by compression of low-textured smooth regions. These fals…
Rate distortion optimization over large scale video corpus with machine learning
Sam John, Akshay Gadde, Balu Adsumilli
We present an efficient codec-agnostic method for bitrate allocation over a large scale video corpus with the goal of minimizing the average bitrate subject to constraints on avera…
Subjective and Objective Quality Assessment of High Frame Rate Videos
Pavan C. Madhusudana, Xiangxu Yu, Neil Birkbeck +3
High frame rate (HFR) videos are becoming increasingly common with the tremendous popularity of live, high-action streaming content such as sports. Although HFR contents are genera…
Capturing Video Frame Rate Variations via Entropic Differencing
Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang +2
High frame rate videos are increasingly getting popular in recent years, driven by the strong requirements of the entertainment and streaming industries to provide high quality of…
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
Zhengzhong Tu, Yilin Wang, Neil Birkbeck +2
Recent years have witnessed an explosion of user-generated content (UGC) videos shared and streamed over the Internet, thanks to the evolution of affordable and reliable consumer c…
Predicting the Quality of Compressed Videos with Pre-Existing Distortions
Xiangxu Yu, Neil Birkbeck, Yilin Wang +3
Over the past decade, the online video industry has greatly expanded the volume of visual data that is streamed and shared over the Internet. Moreover, because of the increasing ea…
Subjective Quality Assessment for YouTube UGC Dataset
Joong Gon Yim, Yilin Wang, Neil Birkbeck +1
Due to the scale of social video sharing, User Generated Content (UGC) is getting more attention from academia and industry. To facilitate compression-related research on UGC, YouT…
BBAND Index: A No-Reference Banding Artifact Predictor
Zhengzhong Tu, Jessie Lin, Yilin Wang +2
Banding artifact, or false contouring, is a common video compression impairment that tends to appear on large flat regions in encoded videos. These staircase-shaped color bands can…