Open AccessToward Content-Aware Video Partitioning Methods for Distributed HEVC Video Encoding
Author(s) -
Myunghoon Jeon,
Byoung-Dai Lee
Publication year - 2015
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v5i3.pp569-578
Subject(s) - computer science , coding (social sciences) , encoding (memory) , multiview video coding , cloud computing , video processing , video tracking , artificial intelligence , operating system , statistics , mathematics
Recently, cloud computing has emerged as a potential platform for distributed video encoding due to its advantages in terms of costs as well as performance. For distributed video encoding, the input video must be partitioned into several segments, each of which is processed over distributed resources. This paper describes the effect of different video partitioning schemes on overall encoding performance in the distributed encoding of High-Efficiency Video Coding (HEVC). In addition, we explored performances of video partitioning schemes on the basis of the types of the content to be encoded