2020
DOI: 10.1016/j.image.2019.115719
|View full text |Cite
|
Sign up to set email alerts
|

Multi-level rate-constrained successive elimination algorithm tailored to suboptimal motion estimation in HEVC

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 26 publications
0
1
0
Order By: Relevance
“…It provides a flexible platform which may provide a variation of several algorithms of motion estimation and is connected as an architecture of instruction set with no need to adjust the hardware (Li and Jin, 2019). Based on the great complexity and significant process of encryption and decryption video, hundreds of architectures and algorithms are established as motion estimation because as is signified in 1981, it includes full-search block-matching algorithm which is a powerful motion estimation algorithm that originates optimal outcomes (Trudeau et al, 2020). Therefore, active time performance cannot be possible because of its computational complexity.…”
Section: Introductionmentioning
confidence: 99%
“…It provides a flexible platform which may provide a variation of several algorithms of motion estimation and is connected as an architecture of instruction set with no need to adjust the hardware (Li and Jin, 2019). Based on the great complexity and significant process of encryption and decryption video, hundreds of architectures and algorithms are established as motion estimation because as is signified in 1981, it includes full-search block-matching algorithm which is a powerful motion estimation algorithm that originates optimal outcomes (Trudeau et al, 2020). Therefore, active time performance cannot be possible because of its computational complexity.…”
Section: Introductionmentioning
confidence: 99%