An Improved Approach of Block Matching Algorithm for Motion Vector Estimation

Shailesh D. Kamble, Sonam T. Khawase, Nileshsingh V. Thakur and Akshay V. Patharkar
Additional contact information
Shailesh D. Kamble: Nagpur University, Nagpur, India
Sonam T. Khawase: Yeshwantrao College of Engineering, Nagpur, India
Nileshsingh V. Thakur: Prof Ram Meghe College of Engineering & Management, Amravati, India
Akshay V. Patharkar: K.D.K. College of Engineering, Nagpur, India

International Journal of Information Retrieval Research (IJIRR), 2018, vol. 8, issue 1, 38-56

Abstract: Motion estimation has traditionally been used in video encoding only, however, it can also be used to solve various real-life problems. Nowadays, researchers from different fields are turning towards motion estimation. Motion estimation has become a serious problem in many video applications. It is a very important part of video compression technique and it provides improved bit rate reduction and coding efficiency. The process of motion estimation is used to improve compression quality and it also reduces computation time. Block-based motion estimation algorithms are used as they require less memory for processing of any video file. It also reduces the complexity involved in computations. In this article, various block-matching motion estimation algorithms are discussed such as Full search (FS) or Exhaust Search, Three-Step search (TSS), New Three-Step search (NTSS), Four-Step search (FSS), Diamond search (DS) etc.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJIRR.2018010103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:8:y:2018:i:1:p:38-56

Access Statistics for this article

International Journal of Information Retrieval Research (IJIRR) is currently edited by Zhongyu Lu

More articles in International Journal of Information Retrieval Research (IJIRR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().