Real-Time Implementation of Scalable Hevc Encoder

Tutkimustuotos: Conference contributionScientificvertaisarvioitu

7 Lataukset (Pure)

Abstrakti

This paper presents the first known open-source Scalable HEVC (SHVC) encoder for real-time applications. Our proposal is built on top of Kvazaar HEVC encoder by extending its functionality with spatial and signal-to-noise ratio (SNR) scalable coding schemes. These two scalability schemes have been optimized for real-time coding by means of three parallelization techniques: 1) wavefront parallel processing (WPP); 2) overlapped wavefront (OWF); and 3) AVX2-optimized upsampling. On an 8-core Xeon W-2145 processor, the proposed spatially scalable Kvazaar can encode twolayer 1080p video above 50 fps with scaling ratios of l.5 and 2. The respective coding gain s are 18.4% and 9.9% over Kvazaar simulcast coding at similar speed. Correspondingly, the coding speed of SNR scalable Kvazaar exceeds 30 fps with two-layer 1080p video. On average, it obtain s1.20 times speedup and 17.0% better coding efficiency over the simulcast case. These results justify the benefits of the proposed scalability schemes in real-time SHVC coding.

AlkuperäiskieliEnglanti
Otsikko2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
KustantajaIEEE
Sivut1166-1170
Sivumäärä5
ISBN (elektroninen)9781728163956
DOI - pysyväislinkit
TilaJulkaistu - lokakuuta 2020
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Conference on Image Processing - Virtual, Abu Dhabi, Yhdistyneet arabiemiirikunnat
Kesto: 25 syyskuuta 202028 syyskuuta 2020

Julkaisusarja

NimiProceedings - International Conference on Image Processing, ICIP
Vuosikerta2020-October
ISSN (painettu)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing
Maa/AlueYhdistyneet arabiemiirikunnat
KaupunkiVirtual, Abu Dhabi
Ajanjakso25/09/2028/09/20

Julkaisufoorumi-taso

  • Jufo-taso 1

!!ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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