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| dc.contributor.advisor | Namuduri, Kameswara | en_US |
| dc.contributor.author | Mitikiri, Praveen Kumar | |
| dc.date.accessioned | 2009-05-11T20:24:34Z | |
| dc.date.available | 2009-05-11T20:24:34Z | |
| dc.date.copyright | 2008 | en |
| dc.date.issued | 2008-08 | |
| dc.identifier.other | t08046 | |
| dc.identifier.uri | http://hdl.handle.net/10057/2010 | |
| dc.description | Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineering | en |
| dc.description | Includes bibliographic references (leaves 28-31) | en |
| dc.description.abstract | Rate Distortion analysis is a branch of information theory that predicts the tradeoffs between rate and distortion in source coding. In this thesis, we present the rate distortion analysis for conditional motion estimation, a process that estimates motion based on a criterion that affects coding rate, complexity of coding scheme and quality of the reconstructed video. In order to guide the rate distortion analysis, we use a conditional motion estimation scheme that estimates motion for certain blocks selected based on significant changes. We begin by explaining the conditional motion estimation technique and the effect of decision criteria on the technique. We then model the motion vectors as Gaussian-Markov process and study the rate distortion tradeoffs in the video encoding scheme. The rate distortion bound derived in this manner is also validated with a practical approach. | en |
| dc.format.extent | viii, 31 leaves, ill. | en |
| dc.format.extent | 1525226 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | en |
| dc.publisher | Wichita State University | en |
| dc.rights | Copyright 2008 by Praveen Kumar Mitikiri. All Rights Reserved | en |
| dc.subject.lcsh | Electronic dissertations | en |
| dc.title | Rate distortion analysis for conditional motion estimation | en |
| dc.type | Thesis | en |
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Master's Theses [823]
This collection includes Master's theses completed at the Wichita State University Graduate School (Fall 2005 --) -
CE Theses and Dissertations [481]
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EECS Theses and Dissertations [181]
Collection of Master's theses and Ph.D. dissertations completed at the Dept. of Electrical Engineering and Computer Science