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RAVA: Region-Based Average Video Quality Assessment.

Xuanyi Wu1, Irene Cheng1, Zhenkun Zhou2

  • 1Department of Computing Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.

Sensors (Basel, Switzerland)
|August 28, 2021
PubMed
Summary
This summary is machine-generated.

Researchers developed a new region-based average video quality assessment (RAVA) technique. This method extends image quality assessment metrics to efficiently predict objective video scores, improving video quality evaluation.

Keywords:
human visual system (HVS)image quality assessmentobjective scorevideo quality assessment

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Area of Science:

  • Computer Vision
  • Signal Processing
  • Multimedia Communications

Background:

  • Video is the dominant internet traffic, making video quality assessment (VQA) crucial.
  • Manual video quality evaluation is impractical due to the volume of content.
  • Existing quantitative metrics aim to estimate human-perceived video quality.

Purpose of the Study:

  • To propose a novel region-based average video quality assessment (RAVA) technique.
  • To extend existing image quality assessment (IQA) metrics for video analysis.
  • To evaluate the feasibility and practicality of the RAVA method.

Main Methods:

  • Developed a region-based average video quality assessment (RAVA) technique.
  • Extended two full-reference (FR) image quality assessment (IQA) metrics.
  • Validated the RAVA technique on three distinct video datasets.

Main Results:

  • The proposed RAVA technique demonstrated practicality in predicting objective video quality scores.
  • Experimental results confirmed the effectiveness of extending IQA metrics for VQA.
  • The method showed consistent performance across different datasets.

Conclusions:

  • The region-based average video quality assessment (RAVA) is a practical approach for objective video quality prediction.
  • Extending image quality metrics offers a viable path for developing robust VQA tools.
  • RAVA provides an efficient alternative to manual video quality evaluation.