Motion Estimation Algorithm For Video Compression

Anitha, Anila

doi:10.32377/cvrjst0112

CVRJST

2011

DOI: 10.32377/cvrjst0112

|View full text |Cite

Motion Estimation Algorithm For Video Compression

Anila Anitha¹

Abstract: In this paper, two motion estimation algorithms have been implemented and performance features of these two tested. These algorithms are full search and fast search methods. Parameters such as number computation, speed and PSNR have been compared to evaluate performance Implementation has been done using Matlab.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2016

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Block-based Motion Estimation in Video Frames using Artificial Neural Networks: A Selective Review

Kumar¹,

Kumar²,

Mishra³

2016

IJCA

View full text Add to dashboard Cite

Nowadays, we are very frequently transmitting the video over internet. This is due to an extensive increase in multimedia applications over hand held devices, such as smart mobile phones and also other advance conventional devices. Motion Estimation is an important field of study in the area of motion analysis and motion compression. The motion estimation is done by using two basic approaches, namely, pixel-based motion estimation and block-based motion estimation. Here we have proposed a detailed study literature survey and review of the block-based estimation methods in detail. This paper presents a comprehensive review of block based motion estimation techniques which plays a vital role in multimedia transmission over public network. The advantage of this review paper is to find the absolute optimal solution.

show abstract

Block-based Motion Estimation in Video Frames using Artificial Neural Networks: A Selective Review

Kumar¹,

Kumar²,

Mishra³

2016

IJCA

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Motion Estimation Algorithm For Video Compression

Cited by 1 publication

References 2 publications

Block-based Motion Estimation in Video Frames using Artificial Neural Networks: A Selective Review

Block-based Motion Estimation in Video Frames using Artificial Neural Networks: A Selective Review

Contact Info

Product

Resources

About