Paper Info
Title
True motion estimation based on reliable motion decision
Abstract
This paper presents a novel technique to estimate true motion vectors (TMVs) during video encoding. The proposed method designs a system unit to collect motion vectors' (MVs') characteristic in the video encoder. MVs are then classified into reliable and unreliable MVs based on the collected early-stop distribution of each block. The reliable MVs are directly assigned as TMVs, whereas the unreliable MVs must go through the refinement processing for TMV conversion. This algorithm can be easily integrated into the existing video encoders. The experiment result shows that proposed method is superior to the literature works in terms of either performance or computation complexity.
Year
DOI
Venue
2013
10.1109/APSIPA.2013.6694146
APSIPA
Keywords
Field
DocType
statistical distributions,early-stop distribution,reliable motion decision,true motion vectors,motion estimation,video coding,refinement processing,cumulative distribution function,tmv,true motion estimation,video encoding
Video encoding,Computer vision,Block-matching algorithm,Quarter-pixel motion,Computer science,Motion compensation,Probability distribution,Artificial intelligence,Encoder,Motion estimation,Computation complexity
Conference
ISSN
Citations 
PageRank 
2309-9402
0
0.34
References 
Authors
8
4
Name
Order
Citations
PageRank
Tien-Ying Kuo114819.24
Cheng-Hong Hsieh210.71
Yi-Chung Lo3325.06
Jian-Hua Wang400.34