Subjective and Objective Quality Assessment of High Frame Rate Videos

Autor: Pavan C. Madhusudana, Xiangxu Yu, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik

Publikováno v: IEEE Access, Vol 9, Pp 108069-108082 (2021)

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 generally of very high quality, high bandwidth requirements make them challe

Externí odkaz: https://doaj.org/article/662f6a889e5347e68a9d60767da839bf

Making Video Quality Assessment Models Sensitive to Frame Rate Distortions

Autor: Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik

Publikováno v: IEEE Signal Processing Letters. 29:897-901

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: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32dca429a002a7b92d8bf8cb361f7ef8
https://doi.org/10.1109/lsp.2022.3162159

When is the Cleaning of Subjective Data Relevant to Train UGC Video Quality Metrics?

Autor: Anne-Flore Perrin, Charles Dormeval, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Patrick Le Callet

Publikováno v: 29th IEEE International Conference on Image Processing (IEEE ICIP)
29th IEEE International Conference on Image Processing (IEEE ICIP), Oct 2022, Bordeaux, France

International audience; Outlier analysis and spammer detection recently gained momentum in order to reduce uncertainty of subjective ratings in image & video quality assessment tasks. The large proportion of unreliable ratings from online crowdsourci

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44d7d1660060e9a119a90d1a8c17fcd1
https://doi.org/10.1109/icip46576.2022.9897997

Direct optimisation of λ for HDR content adaptive transcoding in AV1

Autor: Vibhoothi ., François Pitié, Angeliki Katsenou, Daniel Joseph Ringis, Yeping Su, Neil Birkbeck, Jessie Lin, Balu Adsumilli, Anil Kokaram

Publikováno v: Vibhoothi, F P, Katsenou, A, Ringis, D J, Su, Y, Birkbeck, N, Lin, J, Adsumilli, B & Kokaram, A 2022, Direct Optimisation of λ for HDR Content Adaptive Transcoding in AV1 . in A G Tescher & T Ebrahimi (eds), Applications of Digital Image Processing XLV : Applications of Digital Image Processing XLV . vol. 12226, 1222606, Proceedings of SPIE-The International Society for Optical Engineering, vol. 12226, Society of Photo-Optical Instrumentation Engineers (SPIE), Washington, SPIE Optical Engineering + Applications, San Diego, United States, 21/08/22 . https://doi.org/10.1117/12.2632272

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: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef8923c86aeeb22e31309896ac9246d4
https://doi.org/10.1117/12.2632272

Perceptually motivated deep neural network for video compression artifact removal

Autor: Darren Ramsook, Anil Kokaram, Neil Birkbeck, Yeping Su, Balu Adsumilli

Publikováno v: Applications of Digital Image Processing XLV.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c9d6e15b7756393328ea887c6f6d55bc
https://doi.org/10.1117/12.2633552