Fast inter-prediction algorithm based on motion vector information for high efficiency video coding
Fast inter-prediction algorithm based on motion vector information for high efficiency video coding
dc.contributor.author | Lin, Kao-Min | |
dc.contributor.author | Lin, Jie-Ru | |
dc.contributor.author | Chen, Mei-Juan | |
dc.contributor.author | Yeh, Chia-Hung | |
dc.contributor.author | Lee, Cheng-An | |
dc.date.accessioned | 2018-10-07T03:21:04Z | |
dc.date.available | 2018-10-07T03:21:04Z | |
dc.date.issued | 2018-10-01 | |
dc.date.updated | 2018-10-07T03:21:05Z | |
dc.description.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. | |
dc.identifier.citation | EURASIP Journal on Image and Video Processing. 2018 Oct 01;2018(1):99 | |
dc.identifier.uri | https://doi.org/10.1186/s13640-018-0340-4 | |
dc.identifier.uri | http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/80409 | |
dc.language.rfc3066 | en | |
dc.rights.holder | The Author(s). | |
dc.title | Fast inter-prediction algorithm based on motion vector information for high efficiency video coding | |
dc.type | Journal Article |
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