No-reference video quality assessment using the temporal statistics of global and local image features

HIGHLIGHTS

  • who: Domonkos Varga from the (UNIVERSITY) have published the Article: No-Reference Video Quality Assessment Using the Temporal Statistics of Global and Local Image Features, in the Journal: Sensors 2022, 22, 9696. of /2022/
  • what: The authors propose a novel NR-VQA algorithm that integrates the fusion of temporal statistics of local and global image features with an ensemble learning framework in a single architecture. The authors propose an ensemble learning framework to integrate the predicted quality scores of several machine_learning techniques for efficient quality estimation. In an ablation study (Section 4.2), the authors . . .

     

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