ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Reusable HEVC Design in 3D-HEVC
Cited 3 time in scopus Download 57 time Share share facebook twitter linkedin kakaostory
Authors
Young Su Heo, Gun Bang, Gwang Hoon Park
Issue Date
2016-10
Citation
ETRI Journal, v.38, no.5, pp.818-828
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.16.2615.0019
Abstract
This paper proposes a reusable design for the merging process used in three-dimensional High Efficiency Video Coding (3D-HEVC), which can significantly reduce the implementation complexity by eliminating duplicated module redundancies. The majority of inter-prediction coding tools used in 3D-HEVC are utilized through a merge mode, whose extended merging process is based on built-in integration to completely wrap around the HEVC merging process. Consequently, the implementation complexity is unavoidably very high. To facilitate easy market implementation, the design of a legacy codec should be reused in an extended codec if possible. The proposed 3D-HEVC merging process is divided into the base merging process of reusing HEVC modules and reprocessing process of refining the existing processes that have been newly introduced or modified for 3D-HEVC. To create a reusable design, the causal and mutual dependencies between the newly added modules for 3DHEVC and the reused HEVC modules are eliminated, and the ineffective methods are simplified. In an application of the proposed reusable design, the duplicated reimplementation of HEVC modules, which account for 50.7% of the 3D-HEVC merging process, can be eliminated while maintaining the same coding efficiency. The proposed method has been adopted as a normative coding tool in the 3D-HEVC international standard.
KSP Keywords
3D-HEVC, Built-in, Coding Tools, Coding efficiency, High Efficiency Video coding(HEVC), Implementation complexity, International standards, Merge Mode, Prediction coding, Three dimensional(3D), inter prediction