no code implementations • 9 Apr 2024 • Yixu Chen, Zaixi Shang, Hai Wei, Yongjun Wu, Sriram Sethuraman
In this work we merge several datasets into one to support the creation of a metric tailored for video compression and scaling.
no code implementations • 25 Apr 2023 • Joshua P. Ebenezer, Zaixi Shang, Yixu Chen, Yongjun Wu, Hai Wei, Sriram Sethuraman, Alan C. Bovik
We conducted a large-scale study of human perceptual quality judgments of High Dynamic Range (HDR) and Standard Dynamic Range (SDR) videos subjected to scaling and compression levels and viewed on three different display devices.
no code implementations • 25 Apr 2023 • Joshua P. Ebenezer, Zaixi Shang, Yongjun Wu, Hai Wei, Sriram Sethuraman, Alan C. Bovik
We introduce a novel feature set, which we call HDRMAX features, that when included into Video Quality Assessment (VQA) algorithms designed for Standard Dynamic Range (SDR) videos, sensitizes them to distortions of High Dynamic Range (HDR) videos that are inadequately accounted for by these algorithms.
no code implementations • 25 Apr 2023 • Joshua P. Ebenezer, Zaixi Shang, Yongjun Wu, Hai Wei, Sriram Sethuraman, Alan C. Bovik
We present a no-reference video quality model and algorithm that delivers standout performance for High Dynamic Range (HDR) videos, which we call HDR-ChipQA.
no code implementations • 20 Sep 2022 • Zaixi Shang, Joshua P. Ebenezer, Alan C. Bovik, Yongjun Wu, Hai Wei, Sriram Sethuraman
High Dynamic Range (HDR) videos can represent a much greater range of brightness and color than Standard Dynamic Range (SDR) videos and are rapidly becoming an industry standard.
1 code implementation • 12 Jul 2022 • Joshua P. Ebenezer, Yixu Chen, Yongjun Wu, Hai Wei, Sriram Sethuraman
Videos often have to be transmitted and stored at low bitrates due to poor network connectivity during adaptive bitrate streaming.
no code implementations • 20 Jun 2022 • Jingwen Zhu, Patrick Le Callet, Anne-Flore Perrin, Sriram Sethuraman, Kumar Rahul
However, most of the previous works predict each point in SUR curve by using features both from source video and from compressed videos with assumption that the group-based JND annotations follow Gaussian distribution, which is neither practical nor accurate.
1 code implementation • 17 Sep 2021 • Joshua P. Ebenezer, Zaixi Shang, Yongjun Wu, Hai Wei, Sriram Sethuraman, Alan C. Bovik
We propose a new model for no-reference video quality assessment (VQA).
Ranked #1 on Video Quality Assessment on LIVE Livestream
no code implementations • 15 Jun 2021 • Zaixi Shang, Joshua P. Ebenezer, Alan C. Bovik, Yongjun Wu, Hai Wei, Sriram Sethuraman
Video live streaming is gaining prevalence among video streaming services, especially for the delivery of popular sporting events.
no code implementations • 20 Apr 2021 • Joshua P. Ebenezer, Yongjun Wu, Hai Wei, Sriram Sethuraman, Zongyi Liu
A deep network is trained to detect the visual signature of the tennis ball being hit by the racquet in the video stream.