A Novel Video Compression Algorithm Using Wavelet Transform and neural network
Videos are made up of a temporal sequence of frames and are projected at a proper rate to create the illusion of motion. This means that there exists a high correlation between adjacent temporal frames so that when projected at a proper rate, smooth motion is seen. Correlation between adjacent tempo...
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Najafabad Branch, Islamic Azad University
2016-01-01
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doaj-9b8886b8ed9042ddba4c4cf84e8ff6282020-11-24T23:56:14ZengNajafabad Branch, Islamic Azad UniversityJournal of Intelligent Procedures in Electrical Technology2322-38712345-55942016-01-01725314A Novel Video Compression Algorithm Using Wavelet Transform and neural networkMohammad Rahmanian0Ahmad Hatam1Mohammad Ali Shafieeian2Boushehr Branch, Islamic Azad UniversityHormozgan UniversityShiraz UniversityVideos are made up of a temporal sequence of frames and are projected at a proper rate to create the illusion of motion. This means that there exists a high correlation between adjacent temporal frames so that when projected at a proper rate, smooth motion is seen. Correlation between adjacent temporal frames is called interframe correlation. In order to decode compressed video bit stream uniformly by various platforms and devices, the bit stream format must be predefined. Thus, there must be a standard for a video compressor, which will enable all standard-compliant compressed video data to be decoded anywhere. The goal is to propose a new video compression algorithm based on wavelet transform and neural networks. Using wavelet transform leads to factorization in temporal as well as spatial domain. The goal in this paper is to achieve a compression algorithm which would be faster and has more compression ratio. Neural networks are used for prediction which is one of the most important functions in any video compression scheme. Furthermore, the proposed algorithm is compared with MPEG standard. Simulation results show the befits of using wavelet transform which reveal that the proposed algorithm is faster and has better performance in some aspects compared to MPEG standard. The video which obtained from proposed algorithm has acceptable in human visual and since it needs less than space for storing, it is suitable for portable devices.http://jipet.iaun.ac.ir/article_13223_68d2d54707ed8b6788b4b1b8d615b048.pdfvideo compressionmotion compensationmotion estimationvideo encoder and decoderMPEG standard |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohammad Rahmanian Ahmad Hatam Mohammad Ali Shafieeian |
spellingShingle |
Mohammad Rahmanian Ahmad Hatam Mohammad Ali Shafieeian A Novel Video Compression Algorithm Using Wavelet Transform and neural network Journal of Intelligent Procedures in Electrical Technology video compression motion compensation motion estimation video encoder and decoder MPEG standard |
author_facet |
Mohammad Rahmanian Ahmad Hatam Mohammad Ali Shafieeian |
author_sort |
Mohammad Rahmanian |
title |
A Novel Video Compression Algorithm Using Wavelet Transform and neural network |
title_short |
A Novel Video Compression Algorithm Using Wavelet Transform and neural network |
title_full |
A Novel Video Compression Algorithm Using Wavelet Transform and neural network |
title_fullStr |
A Novel Video Compression Algorithm Using Wavelet Transform and neural network |
title_full_unstemmed |
A Novel Video Compression Algorithm Using Wavelet Transform and neural network |
title_sort |
novel video compression algorithm using wavelet transform and neural network |
publisher |
Najafabad Branch, Islamic Azad University |
series |
Journal of Intelligent Procedures in Electrical Technology |
issn |
2322-3871 2345-5594 |
publishDate |
2016-01-01 |
description |
Videos are made up of a temporal sequence of frames and are projected at a proper rate to create the illusion of motion. This means that there exists a high correlation between adjacent temporal frames so that when projected at a proper rate, smooth motion is seen. Correlation between adjacent temporal frames is called interframe correlation. In order to decode compressed video bit stream uniformly by various platforms and devices, the bit stream format must be predefined. Thus, there must be a standard for a video compressor, which will enable all standard-compliant compressed video data to be decoded anywhere. The goal is to propose a new video compression algorithm based on wavelet transform and neural networks. Using wavelet transform leads to factorization in temporal as well as spatial domain. The goal in this paper is to achieve a compression algorithm which would be faster and has more compression ratio. Neural networks are used for prediction which is one of the most important functions in any video compression scheme. Furthermore, the proposed algorithm is compared with MPEG standard. Simulation results show the befits of using wavelet transform which reveal that the proposed algorithm is faster and has better performance in some aspects compared to MPEG standard. The video which obtained from proposed algorithm has acceptable in human visual and since it needs less than space for storing, it is suitable for portable devices. |
topic |
video compression motion compensation motion estimation video encoder and decoder MPEG standard |
url |
http://jipet.iaun.ac.ir/article_13223_68d2d54707ed8b6788b4b1b8d615b048.pdf |
work_keys_str_mv |
AT mohammadrahmanian anovelvideocompressionalgorithmusingwavelettransformandneuralnetwork AT ahmadhatam anovelvideocompressionalgorithmusingwavelettransformandneuralnetwork AT mohammadalishafieeian anovelvideocompressionalgorithmusingwavelettransformandneuralnetwork AT mohammadrahmanian novelvideocompressionalgorithmusingwavelettransformandneuralnetwork AT ahmadhatam novelvideocompressionalgorithmusingwavelettransformandneuralnetwork AT mohammadalishafieeian novelvideocompressionalgorithmusingwavelettransformandneuralnetwork |
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