Doctor of Philosophy (PhD)
First Advisor's Name
First Advisor's Committee Title
Second Advisor's Name
Subbarao V. Wunnava
Third Advisor's Name
Fourth Advisor's Name
Date of Defense
The contributions of this dissertation are in the development of two new interrelated approaches to video data compression:
1) A level-refined motion estimation and subband compensation method for the effective motion estimation and motion compensation.
2) A shift-invariant sub-decimation decomposition method in order to overcome the deficiency of the decimation process in estimating motion due to its shift-invariant property of wavelet transform.
The enormous data generated by digital videos call for an intense need of efficient video compression techniques to conserve storage space and minimize bandwidth utilization. The main idea of video compression is to reduce the interpixel redundancies inside and between the video frames by applying motion estimation and motion compensation (MEMC) in combination with spatial transform coding. To locate the global minimum of the matching criterion function reasonably, hierarchical motion estimation by coarse to fine resolution refinements using discrete wavelet transform is applied due to its intrinsic multiresolution and scalability natures.
Cai, Weiting, "High performance shift invariant motion estimation and compensation in wavelet domain video compression" (2003). FIU Electronic Theses and Dissertations. 1965.
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