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20242026
most citedSubjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos

1 citations · 1 across the 16 of their papers we have counts for

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eess.IV2025

Avoiding Quality Saturation in UGC Compression Using Denoised References

Xin Xiong, Samuel Fernández-Menduiña, Eduardo Pavez +3

Video-sharing platforms must re-encode large volumes of noisy user-generated content (UGC) to meet streaming demands. However, conventional codecs, which aim to minimize the mean s…

cs.CV2025

CHUG: Crowdsourced User-Generated HDR Video Quality Dataset

Shreshth Saini, Alan C. Bovik, Neil Birkbeck +2

High Dynamic Range (HDR) videos enhance visual experiences with superior brightness, contrast, and color depth. The surge of User-Generated Content (UGC) on platforms like YouTube…

cs.CV2025★ 1 cited

Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos

Qi Zheng, Li-Heng Chen, Chenlong He +6

Although there have been notable advancements in video compression technologies in recent years, banding artifacts remain a serious issue affecting the quality of compressed videos…

eess.IV2025

Rate-Distortion Optimization with Non-Reference Metrics for UGC Compression

Samuel Fernández-Menduiña, Xin Xiong, Eduardo Pavez +3

Service providers must encode a large volume of noisy videos to meet the demand for user-generated content (UGC) in online video-sharing platforms. However, low-quality UGC challen…

cs.CV2025

Context and Pixel Aware Large Language Model for Video Quality Assessment

Wen Wen, Yaohong Wu, Yue Sheng +3

Video quality assessment (VQA) is a challenging research topic with broad applications. Traditional hand-crafted and discriminative learning-based VQA models mainly focus on pixel-…