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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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 64.67 kB | Adobe PDF | View/Open |
02_declaration.pdf | 164.9 kB | Adobe PDF | View/Open | |
03_certificate.pdf | 116.3 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 99.02 kB | Adobe PDF | View/Open | |
05_table of contents.pdf | 58.59 kB | Adobe PDF | View/Open | |
06_list of graph and table.pdf | 137.65 kB | Adobe PDF | View/Open | |
07_chapter 1.pdf | 118.58 kB | Adobe PDF | View/Open | |
08_chapter 2.pdf | 1.38 MB | Adobe PDF | View/Open | |
09_chapter 3.pdf | 459.5 kB | Adobe PDF | View/Open | |
10_chapter 4.pdf | 1.64 MB | Adobe PDF | View/Open | |
10_chapter 5 a.pdf | 52.91 kB | Adobe PDF | View/Open | |
12_annexure.pdf | 486.82 kB | Adobe PDF | View/Open | |
14%.pdf | 30.76 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 72.51 kB | Adobe PDF | View/Open | |
abstract.pdf | 72.51 kB | Adobe PDF | View/Open | |
list of abbreviations.pdf | 103.28 kB | Adobe PDF | View/Open | |
preliminary page.pdf | 64.67 kB | Adobe PDF | View/Open |
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