Adaptive Search Range Decision and Enhanced AMVP Mechanism for HEVC Coder
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 101 === This paper presents an adaptive search range (SR) selection algorithm in fast motion estimation. Since a good decision may achieve excellent coding performance with reduced memory access bandwidth, a proper SR size is important to video encoding. To attain th...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2013
|
Online Access: | http://ndltd.ncl.edu.tw/handle/62161183685931843639 |
id |
ndltd-TW-101NCKU5652069 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-101NCKU56520692015-10-13T22:51:43Z http://ndltd.ncl.edu.tw/handle/62161183685931843639 Adaptive Search Range Decision and Enhanced AMVP Mechanism for HEVC Coder 應用於快速HEVC編碼器之可適搜尋範圍演算法與強化AMVP機制 Chiao-MinHuang 黃巧旻 碩士 國立成功大學 電腦與通信工程研究所 101 This paper presents an adaptive search range (SR) selection algorithm in fast motion estimation. Since a good decision may achieve excellent coding performance with reduced memory access bandwidth, a proper SR size is important to video encoding. To attain this goal, we first obtain a motion vector predictor (MVP) is got from the motion vectors (MVs) of spatially and temporally neighboring blocks. Due to the accuracy of the MVP, we will find the best matching image block faster in the full search. By exploiting the relationship between the motion difference (MD), the MVP and the MV, we develop an adaptive SR selection algorithm. In addition, we further improve by combining SAD-based early termination algorithm. Experimental results show that the performance of the proposed algorithm is very similar to that of the full search algorithm it enables significant reduction in the computational complexity. Jar-Ferr Yang 楊家輝 2013 學位論文 ; thesis 62 en_US |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 101 === This paper presents an adaptive search range (SR) selection algorithm in fast motion estimation. Since a good decision may achieve excellent coding performance with reduced memory access bandwidth, a proper SR size is important to video encoding. To attain this goal, we first obtain a motion vector predictor (MVP) is got from the motion vectors (MVs) of spatially and temporally neighboring blocks. Due to the accuracy of the MVP, we will find the best matching image block faster in the full search. By exploiting the relationship between the motion difference (MD), the MVP and the MV, we develop an adaptive SR selection algorithm. In addition, we further improve by combining SAD-based early termination algorithm. Experimental results show that the performance of the proposed algorithm is very similar to that of the full search algorithm it enables significant reduction in the computational complexity.
|
author2 |
Jar-Ferr Yang |
author_facet |
Jar-Ferr Yang Chiao-MinHuang 黃巧旻 |
author |
Chiao-MinHuang 黃巧旻 |
spellingShingle |
Chiao-MinHuang 黃巧旻 Adaptive Search Range Decision and Enhanced AMVP Mechanism for HEVC Coder |
author_sort |
Chiao-MinHuang |
title |
Adaptive Search Range Decision and Enhanced AMVP Mechanism for HEVC Coder |
title_short |
Adaptive Search Range Decision and Enhanced AMVP Mechanism for HEVC Coder |
title_full |
Adaptive Search Range Decision and Enhanced AMVP Mechanism for HEVC Coder |
title_fullStr |
Adaptive Search Range Decision and Enhanced AMVP Mechanism for HEVC Coder |
title_full_unstemmed |
Adaptive Search Range Decision and Enhanced AMVP Mechanism for HEVC Coder |
title_sort |
adaptive search range decision and enhanced amvp mechanism for hevc coder |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/62161183685931843639 |
work_keys_str_mv |
AT chiaominhuang adaptivesearchrangedecisionandenhancedamvpmechanismforhevccoder AT huángqiǎomín adaptivesearchrangedecisionandenhancedamvpmechanismforhevccoder AT chiaominhuang yīngyòngyúkuàisùhevcbiānmǎqìzhīkěshìsōuxúnfànwéiyǎnsuànfǎyǔqiánghuàamvpjīzhì AT huángqiǎomín yīngyòngyúkuàisùhevcbiānmǎqìzhīkěshìsōuxúnfànwéiyǎnsuànfǎyǔqiánghuàamvpjīzhì |
_version_ |
1718080836343955456 |