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New dataset GameScope aids gaming video quality assessment across codecs

Researchers have introduced GameScope, a new benchmark dataset designed for assessing the quality of gaming videos across various codecs and content types. This dataset, the largest of its kind, includes 4,048 video samples with Mean Opinion Score (MOS) ratings from an average of 37 participants, alongside detailed quality attributes. It supports codecs like H.264, H.265, and AV1, and initial studies show a vision-language model achieving superior performance. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Provides a new resource for developing and evaluating AI models focused on video quality assessment in gaming.

RANK_REASON The cluster describes a new benchmark dataset for video quality assessment, which falls under research. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

COVERAGE [1]

  1. arXiv cs.CV TIER_1 · Rajesh Sureddi, Shreshth Saini, Avinab Saha, Alan C. Bovik ·

    GameScope: A Multi-Attribute, Multi-Codec Benchmark Dataset for Gaming Video Quality Assessment

    arXiv:2605.01272v1 Announce Type: new Abstract: The development of video game streaming has grown rapidly, with major platforms such as YouTube and Twitch using different codecs. To support quality assessment models that work consistently across any codec, it is necessary to have…