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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment.

George Margetis1, Grigorios Tsagkatakis1,2, Stefania Stamou1

  • 1Foundation for Research and Technology-Hellas (FORTH), Institute of Computer Science, 70013 Heraklion, Greece.

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Summary
This summary is machine-generated.

This study introduces a new method to predict video Quality-of-Experience (QoE) using server-side data before and during streaming. It leverages deep learning to estimate viewer satisfaction without needing the final decoded video.

Keywords:
ITU-T P.1203PatchVQQoEQoE assessmentdeep learningvideo streaming

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Multimedia Systems

Background:

  • Current video Quality-of-Experience (QoE) metrics require access to the fully decoded video stream for accurate assessment.
  • This dependency limits real-time monitoring and proactive quality management in video streaming services.

Purpose of the Study:

  • To develop and validate a novel scheme for automatically estimating video QoE scores using only server-side information available prior to and during video transmission.
  • To explore the application of advanced deep learning techniques for predicting viewer experience in real-time.

Main Methods:

  • A dataset of videos encoded and streamed under diverse conditions was utilized.
  • A novel deep learning architecture was designed and trained to estimate QoE scores.
  • The model integrates both visual information and network condition data.

Main Results:

  • The proposed deep learning approach successfully estimates QoE scores using pre-transmission and in-transmission data.
  • The method demonstrates the feasibility of QoE prediction without relying on the decoded video.

Conclusions:

  • This research presents a significant advancement in video streaming QoE estimation by enabling server-side, proactive quality assessment.
  • The integration of visual and network data through deep learning offers a powerful tool for enhancing viewer experience in streaming services.