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Characterization of Anisotropic Leaky Mode Modulators for Holovideo
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Low Complexity HEVC Encoder for Visual Sensor Networks.

Zhaoqing Pan1,2, Liming Chen3, Xingming Sun4

  • 1School of Computer and Software, Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, China. zqpan3-c@my.cityu.edu.hk.

Sensors (Basel, Switzerland)
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Summary
This summary is machine-generated.

This study introduces a faster method for High Efficiency Video Coding (HEVC) in visual sensor networks (VSNs). The proposed technique significantly reduces encoding time for visual data, improving efficiency in VSN applications.

Keywords:
HEVCcoding unitlow complexityvideo compressionvisual sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering

Background:

  • Visual Sensor Networks (VSNs) generate large data volumes, challenging storage and processing.
  • High Efficiency Video Coding (HEVC) offers high compression but demands significant computational resources.
  • Reducing HEVC encoding complexity is crucial for VSN deployment.

Purpose of the Study:

  • To decrease the computational complexity of HEVC encoding for VSNs.
  • To propose an efficient method for coding unit (CU) depth decision in HEVC.

Main Methods:

  • Analysis of content properties within coding units (CUs).
  • Development of an early CU depth decision algorithm.
  • Introduction of a low-complexity distortion calculation for homogenous CUs.

Main Results:

  • Achieved an average encoding time saving of 71.91% for the HEVC encoder.
  • Demonstrated significant reduction in computational complexity for VSNs.
  • Validated the effectiveness of the proposed CU depth decision method.

Conclusions:

  • The proposed method effectively reduces HEVC encoding complexity in VSNs.
  • This advancement facilitates the practical application of HEVC in resource-constrained VSN environments.
  • Significant time savings enable more efficient visual data processing and transmission in VSNs.