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20212026
most citedChipQA: No-Reference Video Quality Prediction via Space-Time Chips

48 citations · 69 across the 11 of their papers we have counts for

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10 papers · 1 filter

eess.IV2026

Dynamic resolution switching for live streaming

Xin Xiong, Yixu Chen, Hai Wei +2

Conventional adaptive bitrate (ABR) streaming systems typically rely on static bitrate ladders to optimize Quality of Experience (QoE). While operationally simple, this "one-size-f…

eess.IV2024

Encoder-Quantization-Motion-based Video Quality Metrics

Yixu Chen, Zaixi Shang, Hai Wei +2

In an adaptive bitrate streaming application, the efficiency of video compression and the encoded video quality depend on both the video codec and the quality metric used to perfor…

eess.IV2023

HDR or SDR? A Subjective and Objective Study of Scaled and Compressed Videos

Joshua P. Ebenezer, Zaixi Shang, Yixu Chen +4

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 leve…

eess.IV2023★ 1 cited

HDR-ChipQA: No-Reference Quality Assessment on High Dynamic Range Videos

Joshua P. Ebenezer, Zaixi Shang, Yongjun Wu +3

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. HDR videos represent w…

eess.IV2023★ 12 cited

Making Video Quality Assessment Models Robust to Bit Depth

Joshua P. Ebenezer, Zaixi Shang, Yongjun Wu +3

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,…

eess.IV2022★ 1 cited

Subjective Assessment of High Dynamic Range Videos Under Different Ambient Conditions

Zaixi Shang, Joshua P. Ebenezer, Alan C. Bovik +3

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. H…

eess.IV2022

Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-Bitrates

Joshua P. Ebenezer, Yixu Chen, Yongjun Wu +2

Videos often have to be transmitted and stored at low bitrates due to poor network connectivity during adaptive bitrate streaming. Designing optimal bitrate ladders that would sele…

eess.IV2022

On the benefit of parameter-driven approaches for the modeling and the prediction of Satisfied User Ratio for compressed video

Jingwen Zhu, Patrick Le Callet, Anne-Flore Perrin +2

The human eye cannot perceive small pixel changes in images or videos until a certain threshold of distortion. In the context of video compression, Just Noticeable Difference (JND)…

eess.IV2021★ 48 cited

ChipQA: No-Reference Video Quality Prediction via Space-Time Chips

Joshua P. Ebenezer, Zaixi Shang, Yongjun Wu +3

We propose a new model for no-reference video quality assessment (VQA). Our approach uses a new idea of highly-localized space-time (ST) slices called Space-Time Chips (ST Chips).…

eess.IV2021★ 2 cited

Assessment of Subjective and Objective Quality of Live Streaming Sports Videos

Zaixi Shang, Joshua P. Ebenezer, Alan C. Bovik +3

Video live streaming is gaining prevalence among video streaming services, especially for the delivery of popular sporting events. Many objective Video Quality Assessment (VQA) mod…