Korekty

POMÓŻ POPRAWIĆ TERAZ!Niepoprawione

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%.

POMÓŻ POPRAWIĆ KAŻDE ZDANIE Z OSOBNA - English

  • Tytuł
  • Zdanie 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.
      Głosuj teraz!
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 1DODAJ NOWĄ KOREKTĘ! - Zdanie 1
  • Zdanie 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.
      Głosuj teraz!
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 2DODAJ NOWĄ KOREKTĘ! - Zdanie 2
  • Zdanie 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.
      Głosuj teraz!
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 3DODAJ NOWĄ KOREKTĘ! - Zdanie 3
  • Zdanie 4
    • The proposed model predicts the energy consumption, considering the adopted Quantization Parameter (QP) and the Frame Rate Parameter (FR).
      Głosuj teraz!
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 4DODAJ NOWĄ KOREKTĘ! - Zdanie 4
  • Zdanie 5
    • A Raspberry Pi 2 card based video sensor node is used for modelling and validation, considering different configurations and spatial resolutions.
      Głosuj teraz!
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 5DODAJ NOWĄ KOREKTĘ! - Zdanie 5
  • Zdanie 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%.
      Głosuj teraz!
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 6DODAJ NOWĄ KOREKTĘ! - Zdanie 6