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Author:

Liu, Chang (Liu, Chang.) | Jia, Kebin (Jia, Kebin.) | Liu, Pengyu (Liu, Pengyu.)

Indexed by:

EI Scopus

Abstract:

Compared with traditional High Efficiency Video Coding (HEVC), 3D-HEVC introduces multi-view coding and depth map coding, which leads to significant increase in coding complexity. In this paper, we propose a low complexity intra coding algorithm for depth map based on end-to-end edge detection network. Firstly, we use Holistically Nested Edge Detection (HED) network to determine the edge location of the depth map. Secondly, we use Ostu method to divide the output of the HED into foreground region and background region. Finally, the CU size and the candidate list of intra mode are determined according to the region of coding tree unit (CTU). Experimental results demonstrate that the proposed algorithm can reduce the encoding time by 39.56% on average under negligible degradation of coding performance. © 2020 IEEE.

Keyword:

Network coding Edge detection Computational complexity Complex networks Image coding Video signal processing

Author Community:

  • [ 1 ] [Liu, Chang]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 2 ] [Jia, Kebin]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 3 ] [Liu, Pengyu]Beijing University of Technology, Faculty of Information Technology, Beijing, China

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Source :

Year: 2020

Page: 379-382

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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