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Text od 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%.

PROSÍM, POMOŽTE OPRAVIT KAŽDOU VĚTU! - English

  • Titul
  • 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.
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    • PŘIDAT NOVOU OPRAVU! - Sentence 1PŘIDAT NOVOU OPRAVU! - 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!
    • PŘIDAT NOVOU OPRAVU! - Sentence 2PŘIDAT NOVOU OPRAVU! - 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.
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    • PŘIDAT NOVOU OPRAVU! - Sentence 3PŘIDAT NOVOU OPRAVU! - Sentence 3
  • Sentence 4
    • The proposed model predicts the energy consumption, considering the adopted Quantization Parameter (QP) and the Frame Rate Parameter (FR).
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    • PŘIDAT NOVOU OPRAVU! - Sentence 4PŘIDAT NOVOU OPRAVU! - 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.
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    • PŘIDAT NOVOU OPRAVU! - Sentence 5PŘIDAT NOVOU OPRAVU! - 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%.
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    • PŘIDAT NOVOU OPRAVU! - Sentence 6PŘIDAT NOVOU OPRAVU! - Sentence 6