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A knowledge and data-driven optimal planning scheme for multi-modal vision transmission systems.

Jia Yong1, Kai Liu1,2

  • 1Liuzhou Vocational and Technical College, Liuzhou, Guangxi 545006, China.

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|July 28, 2023
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Summary
This summary is machine-generated.

This study introduces a multimodal approach for optimal planning in Vision Transmission Systems (VTS). By integrating vision, numerical, and semantic data, it enhances strategy generation for improved information propagation.

Keywords:
knowledge mechanismmulti-mmodal information integrationoptimal planningvision transmission systems

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Area of Science:

  • Computer Science
  • Information Science
  • Systems Engineering

Background:

  • Vision Transmission Systems (VTS) require optimal strategies for effective information propagation.
  • Existing VTS research primarily relies on single-modal vision features, limiting performance.
  • Challenges exist in automatically generating optimal VTS planning strategies under specific conditions.

Purpose of the Study:

  • To propose a data-driven optimal planning scheme for multimodal Vision Transmission Systems (VTS).
  • To enhance VTS strategy generation by incorporating diverse data modalities beyond vision.
  • To improve the robustness and efficiency of VTS information propagation.

Main Methods:

  • Developed a mathematical model foundation using vision features.
  • Integrated numerical and semantic data alongside vision features for enhanced modeling.
  • Employed a data-driven approach to generate optimal planning strategies for VTS.

Main Results:

  • The proposed multimodal scheme effectively generates optimal planning strategies for VTS.
  • Simulation experiments on real-world VTS scenes demonstrate significant improvements.
  • The approach proves efficient and proactive in achieving desired communication effects.

Conclusions:

  • Multimodal data integration offers a robust solution for VTS optimal planning.
  • The data-driven scheme enhances VTS performance beyond single-modal approaches.
  • This research advances the field of intelligent information propagation systems.