Motion estimation in video coding using simplified optical flow technique
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6A(s) (31 Dec. 2016), pp.770-776, 7 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
We propose an interpolation-free sub-pixel Motion Estimation (ME) technique that particularly aims at providing accurate Motion Vectors (MVs), where conventional sub-pixel interpolation ME algorithms used in video coding are too complex and time consuming.
The proposed algorithm is a combination of block matching algorithms and simplified optical flow, which is Taylor approximation.
The technique does not require any pixel interpolation and it is much faster than conventional ME methods.
Statistical results illustrate that the new technique performs quickly and accurately with a compatible performance with respect to the benchmarking full search algorithm.
American Psychological Association (APA)
Ayele, Eskinder& Dhok, Sanjay. 2016. Motion estimation in video coding using simplified optical flow technique. The International Arab Journal of Information Technology،Vol. 13, no. 6A(s), pp.770-776.
https://search.emarefa.net/detail/BIM-792102
Modern Language Association (MLA)
Ayele, Eskinder& Dhok, Sanjay. Motion estimation in video coding using simplified optical flow technique. The International Arab Journal of Information Technology Vol. 13, no. 6A (Special issue) (Dec. 2016), pp.770-776.
https://search.emarefa.net/detail/BIM-792102
American Medical Association (AMA)
Ayele, Eskinder& Dhok, Sanjay. Motion estimation in video coding using simplified optical flow technique. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6A(s), pp.770-776.
https://search.emarefa.net/detail/BIM-792102
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 775-776
Record ID
BIM-792102