Motion segmentation-based surveillance video compression using adaptive particle swarm optimization

Video surveillance is one of the widely used and most active research applications of computer vision. Although lots of works have been done in the area of smart surveillance, but still there is a need of effective compression technique for compact archival and efficient transmission of vast amount...

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Vydané v:	Neural computing & applications Ročník 32; číslo 15; s. 11443 - 11457
Hlavní autori:	Sengar, Sandeep Singh, Mukhopadhyay, Susanta
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.08.2020 Springer Nature B.V
Predmet:	Artificial Intelligence Change detection Coding Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computer vision Data Mining and Knowledge Discovery Huffman codes Image Processing and Computer Vision Image segmentation Motion compensation Motion simulation Optical flow (image analysis) Original Article Particle swarm optimization Probability and Statistics in Computer Science Segmentation Surveillance Video compression Video data Video transmission Segmentation Motion estimation Particle swarm optimization Optical flow
ISSN:	0941-0643, 1433-3058
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