Early determination of intra mode and segment-wise DC coding for depth map based on hierarchical coding structure in 3D-HEVC

Hong Bin Zhang, Sik Ho Tsang, Yui Lam Chan, Chang Hong Fu, Wei Min Su

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)

Abstract

This paper proposes a fast algorithm to reduce the high computational complexity of depth map coding in 3D-HEVC, which obstructs 3D video from the practical applications. Due to the special feature of depth maps, depth modelling modes (DMMs) were developed to keep sharp edges for depth map. Consequently, the 3D-HEVC encoder can improve the coding performance of synthesized views significantly. However, this is at the significant cost of increased complexity. Since 3D-HEVC reuses the well-known hierarchical coding structure, the mode information of the parent coding units (CU) can be reused to predict the most probable modes for their CUs. Besides, a method is also proposed for early determination of segment-wise DC coding (SDC) decision based on the hierarchical coding structure. Simulation results show that the proposed algorithm achieves a reduction of 33% encoding time while maintaining the quality of synthesized views in term of bit-rate values.
Original languageEnglish
Title of host publication2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
PublisherIEEE
Pages374-378
Number of pages5
ISBN (Electronic)9789881476807
DOIs
Publication statusPublished - 19 Feb 2016
Event2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 - Hong Kong, Hong Kong
Duration: 16 Dec 201519 Dec 2015

Conference

Conference2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
CountryHong Kong
CityHong Kong
Period16/12/1519/12/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modelling and Simulation
  • Signal Processing

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