AI RESEARCH

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

arXiv CS.CV

ArXi:2605.01272v1 Announce Type: new The development of video game streaming has grown rapidly, with major platforms such as YouTube and Twitch using different codecs. To quality assessment models that work consistently across any codec, it is necessary to have access to large, diverse subjective gaming quality datasets. Currently, there are only a few available, each having limitations. To address this gap, we present the largest gaming video quality dataset to date, incorporating both user-generated content (UGC) and professional-generated content (PGC) with extensive visual diversity.