Research Article
A Novel Data Reuse Method For Motion Estimation In Video Applications
@INPROCEEDINGS{10.4108/eai.13-7-2017.2270544, author={Weizhi Xu and Hui Yu and Xin Wang and Yanhui Ding and Dianjie Lu and Guijuan Zhang and Zengzhen Shao}, title={A Novel Data Reuse Method For Motion Estimation In Video Applications}, proceedings={Workshop on QoE-Aware Resource Allocation for Multimedia Communications}, publisher={EAI}, proceedings_a={QOE-RAMC}, year={2017}, month={12}, keywords={motion estimation memory traffic fruc}, doi={10.4108/eai.13-7-2017.2270544} }- Weizhi Xu
Hui Yu
Xin Wang
Yanhui Ding
Dianjie Lu
Guijuan Zhang
Zengzhen Shao
Year: 2017
A Novel Data Reuse Method For Motion Estimation In Video Applications
QOE-RAMC
EAI
DOI: 10.4108/eai.13-7-2017.2270544
Abstract
Motion estimation is a kernel algorithm in many video applications. Full search integer motion estimation (FSIME) can find the best result but it usually takes plenty of time. Previous work on accelerating FSIME exploited intra-frame data reuse within reference frame. We propose a novel data reuse scheme which uses not only intra-frame but also inter-frame data reuse for FSIME. Motion estimation in frame rate up-conversion (FRUC-ME) is used as a case study. A frame is loaded into on-chip memory only once instead of twice and used for two interpolated frames. Different inter-frame data reuse methods are presented and analysed. They give useful tradeoff between off-chip bandwidth requirement and on-chip memory size. The proposed data reuse methods all show better data reuse efficiency than the traditional methods, so the off-chip memory traffic is reduced effectively, as much as 37.5%.