Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/373231
Title: Study and Analysis of Video Compression with Special Reference to Fractal Video
Researcher: PANDIT, SHRADDHA VIRAJ
Guide(s): Tiwari, Akhilesh and Shukla, Piyush Kumar
Keywords: Computer Science
Computer Science Software Engineering
Engineering and Technology
University: Rajiv Gandhi Proudyogiki Vishwavidyalaya
Completed Date: 2019
Abstract: In the current scenario, storage and transmission of multimedia is a big issue due to high resolution. For the betterment of storage and transmission needs compression technique of multimedia data. The maximum data part of multimedia is video. Video compression plays a key role in success of multimedia data. For the compression of video, we have used various transform functions such as wavelet transform, DCT transform and fractal transform function. In all transform functions, the fractal transform function follow the rule of block symmetry. It is very efficient process, but the speed of compression is very slow. Swarm intelligence imparts a role of searching a block for the making of symmetry index for compression. Now a day s various swarm intelligence functions are used for video compression. newlineImage processing function such as transform based functions are very effective, also the approach discrete wavelet transform function produces efficient results in different research. Fractal function is function which is again more efficient function than discrete wavelet transform function. Thus, here the usage of discrete wavelet and fractal function is combine performed for the video compression. Video rows and column term data use H-V partitioning for effective result. While comparing with the discrete wavelet transform, this process produces efficient PSNR as well as efficient compression ratio. The DWT transform function, it creates the layers and their grouping which process the higher band and lower band data measures. The core processing of domain and range block is get performed using H-V partitioning which plays an important data processing role. Thus an efficient processing is been performed using the H-V partitioning technique. newlineThe searching of coefficient and blocks in video compression is important phase. Some researchers used zig-zag and other random searching techniques for searching the symmetry among the blocks.
Pagination: 35MB
URI: http://hdl.handle.net/10603/373231
Appears in Departments:Computer Science Engineering

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01_title.pdfAttached File64.67 kBAdobe PDFView/Open
02_declaration.pdf164.9 kBAdobe PDFView/Open
03_certificate.pdf116.3 kBAdobe PDFView/Open
04_acknowledgement.pdf99.02 kBAdobe PDFView/Open
05_table of contents.pdf58.59 kBAdobe PDFView/Open
06_list of graph and table.pdf137.65 kBAdobe PDFView/Open
07_chapter 1.pdf118.58 kBAdobe PDFView/Open
08_chapter 2.pdf1.38 MBAdobe PDFView/Open
09_chapter 3.pdf459.5 kBAdobe PDFView/Open
10_chapter 4.pdf1.64 MBAdobe PDFView/Open
10_chapter 5 a.pdf52.91 kBAdobe PDFView/Open
12_annexure.pdf486.82 kBAdobe PDFView/Open
14%.pdf30.76 MBAdobe PDFView/Open
80_recommendation.pdf72.51 kBAdobe PDFView/Open
abstract.pdf72.51 kBAdobe PDFView/Open
list of abbreviations.pdf103.28 kBAdobe PDFView/Open
preliminary page.pdf64.67 kBAdobe PDFView/Open
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