Corrections

HELP TO CORRECT NOW!Uncorrected

Text from achraf_ait - English

  • PROFILING AND MODELLING OF HEVC INTRA VIDEO ENCODER'S ENERGY CO

  • Energy consumption is of main concern in the field of Wireless Video Sensor Networks (WVSN) where energy resources are limited, consisting only in the battery of the sensor nodes that determines their lifetime.
  • In this paper, we propose an empirical parametric model to predict the energy consumption of a High Efficiency Video Coding (HEVC) based video encoder in its intra-only mode, used in the context of the next generation WVSNs.
  • Such model is of great interest to adapt the waste of energy of the encoding phase to the remaining energy budget of the node, while meeting the required video quality.
  • The proposed model predicts the energy consumption, considering the adopted Quantization Parameter (QP) and the Frame Rate Parameter (FR).
  • A Raspberry Pi 2 card based video sensor node is used for modelling and validation, considering different configurations and spatial resolutions.
  • The obtained results demonstrate that the proposed model describes well the occurred energy dissipation during the video encoding phase, with an average prediction error of 4.5%.

PLEASE, HELP TO CORRECT EACH SENTENCE! - English

  • Title
  • Sentence 1
    • Energy consumption is of main concern in the field of Wireless Video Sensor Networks (WVSN) where energy resources are limited, consisting only in the battery of the sensor nodes that determines their lifetime.
      Vote now!
    • ADD a NEW CORRECTION! - Sentence 1ADD a NEW CORRECTION! - Sentence 1
  • Sentence 2
    • In this paper, we propose an empirical parametric model to predict the energy consumption of a High Efficiency Video Coding (HEVC) based video encoder in its intra-only mode, used in the context of the next generation WVSNs.
      Vote now!
    • ADD a NEW CORRECTION! - Sentence 2ADD a NEW CORRECTION! - Sentence 2
  • Sentence 3
    • Such model is of great interest to adapt the waste of energy of the encoding phase to the remaining energy budget of the node, while meeting the required video quality.
      Vote now!
    • ADD a NEW CORRECTION! - Sentence 3ADD a NEW CORRECTION! - Sentence 3
  • Sentence 4
    • The proposed model predicts the energy consumption, considering the adopted Quantization Parameter (QP) and the Frame Rate Parameter (FR).
      Vote now!
    • ADD a NEW CORRECTION! - Sentence 4ADD a NEW CORRECTION! - Sentence 4
  • Sentence 5
    • A Raspberry Pi 2 card based video sensor node is used for modelling and validation, considering different configurations and spatial resolutions.
      Vote now!
    • ADD a NEW CORRECTION! - Sentence 5ADD a NEW CORRECTION! - Sentence 5
  • Sentence 6
    • The obtained results demonstrate that the proposed model describes well the occurred energy dissipation during the video encoding phase, with an average prediction error of 4.5%.
      Vote now!
    • ADD a NEW CORRECTION! - Sentence 6ADD a NEW CORRECTION! - Sentence 6