Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Birkbeck, Neil"'
The popularity of Short form videos (SFV) has grown dramatically in the past few years, and has become a phenomenal video category with billions of viewers. Meanwhile, High Dynamic Range (HDR) as an advanced feature also becomes more and more popular
Externí odkaz:
http://arxiv.org/abs/2406.05305
Autor:
Vibhoothi, Pitié, François, Katsenou, Angeliki, Ringis, Daniel Joseph, Su, Yeping, Birkbeck, Neil, Lin, Jessie, Adsumilli, Balu, Kokaram, Anil
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 source standard, is now widely supported. In the early years after standar
Externí odkaz:
http://arxiv.org/abs/2208.11150
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 video quality representations in a self-supervised manner. Distortion typ
Externí odkaz:
http://arxiv.org/abs/2206.14713
Publikováno v:
IEEE Signal Processing Letters. 29 (2022) 897-901
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 more common, and streamed videos commonly range from 30 frames per second
Externí odkaz:
http://arxiv.org/abs/2205.10501
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, relatively little research has been done on the automatic quality pre
Externí odkaz:
http://arxiv.org/abs/2204.00128
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) models, which can be used to help optimize their delivery. Gaming videos
Externí odkaz:
http://arxiv.org/abs/2203.12824
Publikováno v:
IEEE Transactions on Image Processing. 31 (2022) 4149 - 4161
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 features from an unlabeled image dataset containing a mixture of synthetic a
Externí odkaz:
http://arxiv.org/abs/2110.13266
Publikováno v:
2021 Picture Coding Symposium (PCS)
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 rate dependent Video Quality Assessment (VQA) when the videos to be compa
Externí odkaz:
http://arxiv.org/abs/2109.12785
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 quality features on viewports extracted from 360-degree videos. A new model
Externí odkaz:
http://arxiv.org/abs/2105.00567
Autor:
Tu, Zhengzhong, Chen, Chia-Ju, Chen, Li-Heng, Wang, Yilin, Birkbeck, Neil, Adsumilli, Balu, Bovik, Alan C.
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 efforts have shown that accurate quality score regression on real-world
Externí odkaz:
http://arxiv.org/abs/2102.00155