Depth Maps Fast Scalable Compression Based On Coding Unit Depth

SHVC, the Scalable extension of the High Efficiency Video Coding standard (HEVC), combines large compression efficiency and high visual quality of different versions of a same video in a single bitstream. However, this comes at the cost of a high computational complexity. Many efforts aim to reduce...

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Published in:Proceedings - International Conference on Image Processing pp. 2825 - 2829
Main Authors: Mosbah, Sonia, Sebai, Dorsaf, Ghorbel, Faouzi
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2020
Subjects:
coding unit depth
Computational complexity
Copper
Correlation
Depth maps
Encoding
Image edge detection
scalability
Scalable High Efficiency Video Coding (SHVC)
synthesized views
Video coding
ISSN:2381-8549
Online Access:Get full text
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Abstract SHVC, the Scalable extension of the High Efficiency Video Coding standard (HEVC), combines large compression efficiency and high visual quality of different versions of a same video in a single bitstream. However, this comes at the cost of a high computational complexity. Many efforts aim to reduce this latter for texture images. In this paper, we aim at the same objective, but for depth maps that are characterized by areas of smoothly varying grey levels separated by sharp discontinuities at object boundaries. Typically, we propose a fast scalable coding scheme while exploiting depth maps specificities, depth information of SHVC Coding Units (CUs) as well as correlation between base and enhancement layers. Experimental results show that the proposed method significantly reduces the execution time of the SHVC encoder; while maintaining the quality of intermediate views synthesized from encoded depth maps.
AbstractList SHVC, the Scalable extension of the High Efficiency Video Coding standard (HEVC), combines large compression efficiency and high visual quality of different versions of a same video in a single bitstream. However, this comes at the cost of a high computational complexity. Many efforts aim to reduce this latter for texture images. In this paper, we aim at the same objective, but for depth maps that are characterized by areas of smoothly varying grey levels separated by sharp discontinuities at object boundaries. Typically, we propose a fast scalable coding scheme while exploiting depth maps specificities, depth information of SHVC Coding Units (CUs) as well as correlation between base and enhancement layers. Experimental results show that the proposed method significantly reduces the execution time of the SHVC encoder; while maintaining the quality of intermediate views synthesized from encoded depth maps.
Author Sebai, Dorsaf
Mosbah, Sonia
Ghorbel, Faouzi
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  givenname: Faouzi
  surname: Ghorbel
  fullname: Ghorbel, Faouzi
  organization: University of Manouba,Cristal Laboratory, National School of Computer Science,Tunisia
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Snippet SHVC, the Scalable extension of the High Efficiency Video Coding standard (HEVC), combines large compression efficiency and high visual quality of different...
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StartPage 2825
SubjectTerms coding unit depth
Computational complexity
Copper
Correlation
Depth maps
Encoding
Image edge detection
scalability
Scalable High Efficiency Video Coding (SHVC)
synthesized views
Video coding
Title Depth Maps Fast Scalable Compression Based On Coding Unit Depth
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