Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/24730
Title: | Development of efficient motion estimation algorithms for multimedia video compression |
Researcher: | Jeyakumar, S |
Guide(s): | Sundaravadivelu, S |
Keywords: | Information and communication engineering Motion estimation algorithms Multimedia Multimedia video compression Telemedicine Video compression Video conferencing |
Upload Date: | 8-Sep-2014 |
University: | Anna University |
Completed Date: | 01/05/2011 |
Abstract: | There have been great interests in developing video compression techniques due to the increased multimedia applications This research work describes the development of efficient motion estimation algorithms for multimedia video compression The features of the algorithms include better compression quality and high compression speed The first method used for motion estimation is adaptive in the manner in which frames with very few motion changes are predicted in its integer wavelet domain and for high motion activity frame motion compensation is applied in its spatial domain This approach gives good compression quality and compression rate Secondly a two pass motion estimation algorithm using trace calculation with reduced search is introduced as a method to enhance the speed of video compression Thirdly a parallel motion estimation using cluster computing is applied to perform compression on different input frames simultaneously Finally computing load is distributed in a dynamic balanced manner among all processors by the resource management technique of cluster computing newlineThe outcome of this research work is very much useful for multimedia applications such as video Conferencing and Telemedicine newline |
Pagination: | xiv, 105p. |
URI: | http://hdl.handle.net/10603/24730 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 87.25 kB | Adobe PDF | View/Open |
02_certificates.pdf | 51.75 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 5.59 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 5.98 kB | Adobe PDF | View/Open | |
05_contents.pdf | 19.65 kB | Adobe PDF | View/Open | |
06_chapter1.pdf | 35.96 kB | Adobe PDF | View/Open | |
07_chapter2.pdf | 163.17 kB | Adobe PDF | View/Open | |
08_chapter3.pdf | 2.34 MB | Adobe PDF | View/Open | |
09_chapter4.pdf | 152.32 kB | Adobe PDF | View/Open | |
10_chapter5.pdf | 41.2 kB | Adobe PDF | View/Open | |
11_chapter6.pdf | 50.17 kB | Adobe PDF | View/Open | |
12_chapter7.pdf | 9.7 kB | Adobe PDF | View/Open | |
13_references.pdf | 24.8 kB | Adobe PDF | View/Open | |
14_publications.pdf | 7.32 kB | Adobe PDF | View/Open | |
15_vitae.pdf | 5.51 kB | Adobe PDF | View/Open |
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