Korjaukset

AUTA KORJAAMAAN NYT!korjaamaton

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%.

AUTA KORJAAMAAN JOKAINEN LAUSE! - English

  • Otsikko
  • Lause 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.
      Äänestä nyt!
    • ADD a NEW CORRECTION! - Lause 1ADD a NEW CORRECTION! - Lause 1
  • Lause 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.
      Äänestä nyt!
    • ADD a NEW CORRECTION! - Lause 2ADD a NEW CORRECTION! - Lause 2
  • Lause 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.
      Äänestä nyt!
    • ADD a NEW CORRECTION! - Lause 3ADD a NEW CORRECTION! - Lause 3
  • Lause 4
    • The proposed model predicts the energy consumption, considering the adopted Quantization Parameter (QP) and the Frame Rate Parameter (FR).
      Äänestä nyt!
    • ADD a NEW CORRECTION! - Lause 4ADD a NEW CORRECTION! - Lause 4
  • Lause 5
    • A Raspberry Pi 2 card based video sensor node is used for modelling and validation, considering different configurations and spatial resolutions.
      Äänestä nyt!
    • ADD a NEW CORRECTION! - Lause 5ADD a NEW CORRECTION! - Lause 5
  • Lause 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%.
      Äänestä nyt!
    • ADD a NEW CORRECTION! - Lause 6ADD a NEW CORRECTION! - Lause 6