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Error Resilient Coding Techniques for Video Delivery over Vehicular Networks.

Pablo Piñol1, Miguel Martinez-Rach2, Pablo Garrido3

  • 1Physics and Computer Architecture Department, Miguel Hernández University, 03202 Elche, Spain. pablop@umh.es.

Sensors (Basel, Switzerland)
|October 20, 2018
PubMed
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This summary is machine-generated.

Forward error correction (FEC) is essential for reliable video streaming over vehicular networks. Combining FEC with source coding techniques significantly enhances video quality despite high packet loss rates.

Area of Science:

  • Vehicular Communications
  • Video Streaming
  • Network Resilience

Background:

  • Vehicular networks support diverse applications like road safety and infotainment, with video streaming being crucial.
  • These networks face challenges including high interference and limited resources, impacting video service quality.
  • High packet loss rates in vehicular environments degrade video stream integrity.

Purpose of the Study:

  • To enhance video stream error resilience in vehicular networks.
  • To evaluate the effectiveness of combined source and channel coding techniques.
  • To ensure acceptable video quality despite network impairments.

Main Methods:

  • Implementing source coding with intra-refresh modes and tile-based partitioning.
  • Utilizing forward error correction (FEC) for packet loss recovery.
Keywords:
RaptorQerror concealmenterror resiliencevehicular networksvideo codingvideo streaming

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  • Conducting evaluations using probabilistic models and network simulations.

    • Main Results:

    • Forward error correction (FEC) is indispensable for acceptable video delivery quality.
    • The proposed combination of source and channel coding significantly improves video resilience.
    • Evaluations confirmed the efficacy of FEC in realistic vehicular network simulations.

    Conclusions:

    • Forward error correction (FEC) is mandatory for reliable video streaming in vehicular networks.
    • The integration of source coding and FEC offers substantial improvements in video quality.
    • The proposed error resilience mechanisms are highly recommended for vehicular video applications.