Video compression using hybrid hexagon search and teaching–learning-based optimization technique for 3D reconstruction

Motion estimation from a video sequence is an interesting issue in video processing. Nowadays, research has been focused on global optimization techniques, that estimate the optical flow for pixel neighborhoods. In this paper, a hybrid statistically effective motion estimation procedure has been pro...

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Veröffentlicht in:Multimedia systems Jg. 27; H. 1; S. 45 - 59
Hauptverfasser: Veerasamy, B., Annadurai, S.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021
Springer Nature B.V
Schlagworte:
Algorithms
Compression ratio
Computer Communication Networks
Computer Graphics
Computer Science
Cryptology
Data Storage Representation
Global optimization
Image processing
Image quality
Image reconstruction
Machine learning
Motion simulation
Operating Systems
Optical flow (image analysis)
Optimization algorithms
Optimization techniques
Pixels
Regular Paper
Searching
Three dimensional motion
Video compression
Peak signal to noise ratio
Compression
Motion estimation
Block-matching algorithm
Hexagonal search
ISSN:0942-4962, 1432-1882
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Zusammenfassung:Motion estimation from a video sequence is an interesting issue in video processing. Nowadays, research has been focused on global optimization techniques, that estimate the optical flow for pixel neighborhoods. In this paper, a hybrid statistically effective motion estimation procedure has been proposed for better effectiveness video compression. This method explores by utilizing a hexagonal search pattern with a secure number of search points at every lattice. It uses the association among bordering pixels within the frame. So as to diminish the computative intricacy, this methodology uses hybrid hexagon search and teaching–learning based optimization algorithm. This method additionally decreases the computational unpredictability of block matching procedure. The image quality has been confirmed through 3D reconstruction using structured light techniques. This strategy has been contrasted with different existing strategies and hereby utilizing the hexagon search-based teaching–learning optimization algorithm could get a higher precision interms of PSNR of 44.36%, MSE of 2.40 and compression ratio of 7.50.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0942-4962
1432-1882
DOI:10.1007/s00530-020-00699-w