Video compression can be done by a variety of methods. In this thesis we
propose a motion compensated video compression scheme aimed at low bit rate applications, which employs the optic flow and the partial differential
equation (PDE) based image compression techniques. We concentrate mainly on the problem of coding the optic flow data as well as coding the displaced frame difference (DFD). The dense optic flow field is estimated by the method of Brox et al. The PDE based image compression method, which encodes an image by B-tree triangular coding and regards the decoding as an inpainting problem finished by edge enhancing diffusion, is then applied into optic flow data coding. This method can well adapt to the characteristics of optic flow data and allow us to obtain an accurate and detailed motion representation with a reasonable rate. As to DFD coding, a simple but efficient block discrete cosine transform based method is implemented, which only encodes the energy-most-significant positions according to the given bit rate. We also analyze the DFD coding with the help of an energy mask and implement a similar improved method. Finally, we demonstrate our approach on a number of test video sequences and present some comparative results.
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Referee, Status
1. Referee:
Prof. Dr. Joachim Weickert
2. Referee:
Dr. Andrés Bruhn
Supervisor:
Status:
Completed
First Lecture Title:
Location of Lecture:
Date of the Kolloquium:
19 January 2009
Chair of the Kolloquium:
Correlation
MPG Unit:
Max-Planck-Institut für Informatik
MPG Subunit:
IMPRS-CS
Audience:
Expert
Appearance:
MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort
BibTeX Entry:
@MASTERSTHESIS{Gao2008,
AUTHOR = {Gao, Qi},
TITLE = {Low Bit Rate Video Compression Using Inpainting PDEs and Optic Flow},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2008},
MONTH = {December},
}
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