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cs.CV2026

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-…

cs.CV2026

Subjective Portrait Region Cropping in Landscape Videos with Temporal Annotation Smoothing

Cheng-Han Lee, Maniratnam Mandal, Neil Birkbeck +3

With the rise of mobile video consumption on diverse handheld display resolutions and orientation modes, altering videos to aspect ratios poses challenges. Static cropping and bord…

cs.CV2026

LumaFlux: Lifting 8-Bit Worlds to HDR Reality with Physically-Guided Diffusion Transformers

Shreshth Saini, Hakan Gedik, Neil Birkbeck +3

The rapid adoption of HDR-capable devices has created a pressing need to convert the 8-bit Standard Dynamic Range (SDR) content into perceptually and physically accurate 10-bit Hig…

cs.CV2026

Seeing Beyond 8bits: Subjective and Objective Quality Assessment of HDR-UGC Videos

Shreshth Saini, Bowen Chen, Neil Birkbeck +3

High Dynamic Range (HDR) user-generated (UGC) videos are rapidly proliferating across social platforms, yet most perceptual video quality assessment (VQA) systems remain tailored t…

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.CV2024

An Ensemble Approach to Short-form Video Quality Assessment Using Multimodal LLM

Wen Wen, Yilin Wang, Neil Birkbeck +1

The rise of short-form videos, characterized by diverse content, editing styles, and artifacts, poses substantial challenges for learning-based blind video quality assessment (BVQA…