A Novel Search Technique of Motion Estimation for Video Compression

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Pranob K Charles
Pranob K Charles
σ
Dr. Habibulla Khan
Dr. Habibulla Khan
ρ
Dr. K.S. Rao
Dr. K.S. Rao
α Jawaharlal Nehru Technological University, Hyderabad

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A Novel Search Technique of Motion Estimation for Video Compression

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Abstract

Video Compression is highly demanded now a days as due to the fact that in the field of entertainment, medicine and communication there is high demand for digital video technology. For the effective removal of temporal redundancy between the frames for better video compression Motion estimation techniques plays a major role. Block based motion estimation has been widely used for video coding. One such method is the Hierarchical Search Technique for BMA. By amalgamating the three different search algorithms like New three step search, New Full search and New Cross diamond search a novel hierarchical search methodology is proposed. Subsampling the original image into additional two levels is done and thereby the New Diamond search algorithm and a new three-step search algorithm are used in the bottom two levels and the Full Search is performed on the highest level where the complexity is relatively low. In terms of PSNR with reduced complexity this new proposed algorithm showed better performance.

References

8 Cites in Article
  1. Referencias Unknown Title.
  2. Chun-Ho Cheung,Lai-Man Po (2002). A Novel Cross-Diamond Search Algorithm for Fast Block Motion Estimation.
  3. Avishek Saha,Jayanta Mukherjee,Shamik Sural (2011). A neighborhood elimination approach for block matching in motion estimation.
  4. Erik Cuevasa,Daniel Zaldívara,Marco Pérez-Cisnerosa,Humberto Sossab,Valentín Osunab (2013). Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC).
  5. Jing Cai,W David Pan (2012). On fast and accurate block-based motion estimation algorithms using particle swarm optimization.
  6. S Sowmyayani,P Rani (2014). Block based Motion Estimation using Octagon and Square Pattern.
  7. Lai-Man Po,Ka-Ho Ng (2009). Novel Directional Gradient Descent Searches for Fast Block Motion Estimation.
  8. Jun Tian,Xiaodong Shen,K Belloulata (2009). A new crossdiamond search algorithm for fast block motion estimation.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Pranob K Charles. 2017. \u201cA Novel Search Technique of Motion Estimation for Video Compression\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 17 (GJCST Volume 17 Issue F2): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-F Classification: I.4.2, H.3.3
Version of record

v1.2

Issue date

October 21, 2017

Language
en
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Video Compression is highly demanded now a days as due to the fact that in the field of entertainment, medicine and communication there is high demand for digital video technology. For the effective removal of temporal redundancy between the frames for better video compression Motion estimation techniques plays a major role. Block based motion estimation has been widely used for video coding. One such method is the Hierarchical Search Technique for BMA. By amalgamating the three different search algorithms like New three step search, New Full search and New Cross diamond search a novel hierarchical search methodology is proposed. Subsampling the original image into additional two levels is done and thereby the New Diamond search algorithm and a new three-step search algorithm are used in the bottom two levels and the Full Search is performed on the highest level where the complexity is relatively low. In terms of PSNR with reduced complexity this new proposed algorithm showed better performance.

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A Novel Search Technique of Motion Estimation for Video Compression

Pranob K Charles
Pranob K Charles Jawaharlal Nehru Technological University, Hyderabad
Dr. Habibulla Khan
Dr. Habibulla Khan
Dr. K.S. Rao
Dr. K.S. Rao

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