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机译:一种具有分层时空特征表示的端到端无参考视频质量评估方法
School of Computer Science, Chongqing University, Chongqing, China;
Department of Computer Science, City University of Hong Kong, Hong Kong;
BNU–UIC Institute of Artificial Intelligence and Future Networks, Beijing Normal University at Zhuhai, Zhuhai, Guangdong, China|Guangdong Key Laboratory of AI Multi Modal Data Processing, BNU–HKBU United International College, Zhuhai, Guangdong, China;
Feature extraction; Quality assessment; Spatiotemporal phenomena; Video recording; Streaming media; Visualization; Neural networks;
机译:Study Findings on Engineering Discussed by Researchers at Hong Kong Polytechnic University (Quality Feature Learning via Multi- Channel CNN and GRU for No-Reference Video Quality Assessment)
机译:No-reference Video Quality Assessment Based on Spatio-temporal Perception Feature Fusion
机译:No-Reference Video Quality Assessment using novel hybrid features and two-stage hybrid regression for score level fusion