Fast inter-prediction algorithm based on motion vector information for high efficiency video coding

dc.contributor.authorLin, Kao-Min
dc.contributor.authorLin, Jie-Ru
dc.contributor.authorChen, Mei-Juan
dc.contributor.authorYeh, Chia-Hung
dc.contributor.authorLee, Cheng-An
dc.date.accessioned2018-10-07T03:21:04Z
dc.date.available2018-10-07T03:21:04Z
dc.date.issued2018-10-01
dc.date.updated2018-10-07T03:21:05Z
dc.description.abstractAbstract 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.
dc.identifier.citationEURASIP Journal on Image and Video Processing. 2018 Oct 01;2018(1):99
dc.identifier.urihttps://doi.org/10.1186/s13640-018-0340-4
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/80409
dc.language.rfc3066en
dc.rights.holderThe Author(s).
dc.titleFast inter-prediction algorithm based on motion vector information for high efficiency video coding
dc.typeJournal Article

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
13640_2018_Article_340.pdf
Size:
2.88 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
0 B
Format:
Item-specific license agreed upon to submission
Description: