AI RESEARCH
Context- and Pixel-aware Large Language Model for Video Quality Assessment
arXiv CS.CV
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ArXi:2505.16025v3 Announce Type: replace 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-level distortions and lack contextual understanding, while recent multimodal large language models (MLLMs) struggle with sensitivity to small distortions or handle quality scoring and description as separate tasks. To address these shortcomings, we