Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/80409
Title: Fast inter-prediction algorithm based on motion vector information for high efficiency video coding
Authors: Lin, Kao-Min
Lin, Jie-Ru
Chen, Mei-Juan
Yeh, Chia-Hung
Lee, Cheng-An
Issue Date: 1-Oct-2018
Citation: EURASIP Journal on Image and Video Processing. 2018 Oct 01;2018(1):99
Abstract: Abstract High Efficiency Video Coding (HEVC/H.265) is the latest international video coding standard, which achieves better compression ratio and supports higher resolution than Advanced Video Coding (H.264/AVC). However, HEVC/H.265 increases the computational burden. To reduce the coding complexity of the HEVC encoder, this paper proposes a fast inter-prediction algorithm to speed up coding time. We collect the average rate-distortion costs (RD-cost) of Skip modes and Merge modes to accelerate prediction unit (PU) mode decisions. In addition, we also acquire and analyze the motion vector range from Merge modes and Inter 2N × 2N modes to decide whether to execute Merge and advanced motion vector prediction (AMVP) of other PUs. The experimental results show that the proposed algorithm provides 48.54% time saving on average in random-access configuration and maintains good rate-distortion performance and video quality at the same time. The proposed algorithm also outperforms previous works.
URI: https://doi.org/10.1186/s13640-018-0340-4
http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/80409
Appears in Collections:BMC Springer Open Data

Files in This Item:
File Description SizeFormat 
13640_2018_Article_340.pdf2.95 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.