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Updated: Feb 28, 2026

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
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On Demand Secure Scalable Video Streaming for Both Human and Machine Applications.

Alaa Zain1, Yibo Fan2, Jinjia Zhou1

  • 1Faculty of Science and Engineering, Department of Applied Informatics, Koganei Campus, Hosei University, Tokyo 102-8160, Japan.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces adaptive scalable video coding with intelligent encryption, enhancing security and machine analysis. The new method improves efficiency for both human viewers and automated systems.

Keywords:
deep video codingencrypted video streamingscalable video codingscalable video streamingvideo coding for machines

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Area of Science:

  • Computer Science
  • Information Security
  • Signal Processing

Background:

  • Scalable video coding is crucial for diverse streaming needs but often lacks privacy and machine analysis support.
  • Existing methods prioritize human perception, limiting utility for automated systems and data security.
  • Need for video coding that balances human quality, machine analysis, privacy, and compression efficiency.

Purpose of the Study:

  • Develop an adaptive scalable video coding framework for dual human and machine use.
  • Integrate intelligent encryption for enhanced data privacy and security.
  • Improve compression efficiency and machine analysis performance over existing methods.

Main Methods:

  • Proposed an adaptive scalable video coding framework.
  • Implemented adaptive layer encryption for sensitive content protection.
  • Evaluated performance using benchmark datasets and video surveillance scenarios.

Main Results:

  • Achieved superior rate distortion efficiency and reconstruction quality.
  • Demonstrated improved machine analysis accuracy compared to traditional and learning-based codes.
  • Scalable Human Machine Coding (SHMC) reduced bit-per-pixel by up to 60.29% in surveillance scenarios at equivalent quality metrics.

Conclusions:

  • The proposed framework effectively integrates scalable video coding with intelligent encryption.
  • This approach ensures secure, efficient video transmission for both human and machine consumption.
  • SHMC offers significant advantages over HEVC/SHVC extensions in specific applications like video surveillance.