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Updated: Sep 6, 2025

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
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VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming.

Syeda Maria Gillani1, Mamoona Naveed Asghar1,2, Amna Shifa3

  • 1Department of Computer Science, Faculty of Computing, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.

Entropy (Basel, Switzerland)
|June 24, 2022
PubMed
Summary

This study introduces VQProtect, a novel scheme for secure mobile video transmission. It corrects channel errors and maintains confidentiality, significantly improving visual quality over error-prone networks.

Keywords:
channel errorsconfidentialityforward error correctionselective encryptionvideo quality assessment

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Information Security

Background:

  • Mobile multimedia communication demands high bandwidth and efficiency for Quality-of-Service (QoS) and Quality-of-Experience (QoE).
  • 5G networks utilize Cognitive Radio (CR) to dynamically adjust communication parameters, but wireless transmission errors degrade video quality and pose security challenges.
  • Existing solutions often struggle to balance error correction, bandwidth efficiency, and end-to-end video confidentiality.

Purpose of the Study:

  • To propose an innovative scheme, VQProtect, for robust visual quality protection of compressed videos in mobile communication.
  • To address the dual challenges of detecting and correcting channel errors while ensuring video content remains confidential.
  • To enhance the Quality-of-Experience (QoE) for users by minimizing the impact of transmission errors on video fidelity.

Main Methods:

  • A two-round secure process is applied to selected syntax elements of H.264/AVC bitstreams.
  • A computationally efficient Forward Error Correction (FEC) method, employing Random Linear Block coding (O(k(n-1)) complexity), is used for error correction without retransmission.
  • The Gilbert-Elliot model simulates channel errors, affecting 7-10% of video data bits.

Main Results:

  • Experimental results show that 90% of simulated channel errors are recoverable.
  • The VQProtect scheme effectively corrects erroneous data bits, preserving visual quality.
  • The solution demonstrates effectiveness in protecting selectively encrypted and error-prone video content.

Conclusions:

  • VQProtect successfully enhances visual quality protection for compressed videos in mobile environments.
  • The proposed method offers an efficient and secure approach to managing transmission errors and maintaining confidentiality.
  • VQProtect validates its effectiveness through various Video Quality Assessment (VQA) metrics, improving QoE in challenging wireless conditions.