motion estimation and compensation for very low bitrate video coding

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208 Bibliography [53] H. Jozawa. Motion compensated video coding using rotation and scaling models. volume 1, pages 309{312, Melbourne, March 1996. Picture Coding Symposium (PCS). [54] R.G. Keys. Cubic convolution interpolation for digital image processing. IEEE Transactions on Acoustics, Speech and Signal Processing, 29(6):1153{1160, December 1981. [55] S. Kirkpatrick, C.D. Gelatt, and M.P. Vecchi. Optimization by simulated annealing. Science, 220, May 1983. [56] L. Kitchen and A. Rosenfeld. Gray-level corner detection. Pattern Recognition Letters, 1:95{102, December 1982. [57] R. Koenen, F. Pereira, and L. Chiariglione. Mpeg-4: Context and objectives. Signal Processing: Image Communication, 9(4):295{ 304, May 1997. [58] D.G. Krige. A statistical approach to some mine valuations and allied problems on the witwatersrand, 1951. [59] M. Kunt, M. Benard, and R. Leonardi. Recent results in highcompression image coding. IEEE Transactions on Circuits and Systems, 34(11):1306{1336, November 1987. [60] G.G. Langdon Jr. An introduction to arithmetic coding. IBM Journal of Research and Development, 28(2):135{149, March 1984. [61] F. Lavagetto and S. Curinga. Object-oriented scene modeling for interpersonal video communication at very low bit-rate. Signal Processing: Image Communication, (6):379{395, June 1994. [62] D. Le Gall. Mpeg: A video compression standard for multimedia applications. Communications of the ACM, 34(4):46{58, April 1991. [63] H. Li, A. Lundmark, and R. Forchheimer. Image sequence coding at very low bitrates: A review. IEEE Transactions on Image Processing, 3(5):589{609, September 1994. [64] B. Macq. A universal entropy coder for transform or hybrid coding. pages 12.1.1{12.1.2, Boston, 1990. Picture Coding Symposium (PCS).
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LABORATOIRE DE TELECOMMUNICATIONS E
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Avant-propos Mener a bien une these
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Resume L'estimation du mouvement re
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x 2.1.1 Apparent versus Real Motion
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xii A VLBR-like video sequences 167
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2 Introduction Ancient Greece initi
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4 Introduction Meanwhile, the desir
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6 Introduction However, one can que
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8 Introduction compensation in a vi
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10 Introduction Once the proposed s
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Chapter 1 Digital Video Coding at V
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1.2 Video Coding 15 These di erence
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1.2 Video Coding 17 { The redundanc
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1.2 Video Coding 19 exhaustive use
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1.4 Some (Very-) Low BitRate Codecs
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1.5 Discussion 37 1.5 Discussion Th
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40 Chapter 2. Motion in the Framewo
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78 Chapter 3. Multiscale Block Matc
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Chapter 4 Image Pre-Processing for
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4.1 Intuitive Rationale 97 (a) (b)
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4.1 Intuitive Rationale 99 (a) (b)
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4.2 Rate Distortion Conditions 101
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4.3 Experimental Results 107 Pre-pr
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4.3 Experimental Results 109 Mean P
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4.3 Experimental Results 111 From t
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4.3 Experimental Results 113 Origin
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4.4 Conclusion 119 4.4 Conclusion T
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122 Chapter 5. Mesh-Based Motion Co
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Page 170 and 171: 158 Chapter 5. Mesh-Based Motion Co
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Page 174 and 175: 162 Conclusion so as to adapt the s
Page 176 and 177: 164 Conclusion gain is not as obvio
Page 179 and 180: Appendix A VLBR-like video sequence
Page 181 and 182: VLBR-like video sequences 169 Coast
Page 183 and 184: Appendix B Rate Distortion theory A
Page 185 and 186: B.1 Information Theory 173 B.1 Info
Page 187 and 188: B.2 Discrete Memoryless Sources and
Page 189 and 190: B.3 Rate Distortion Function 177 B.
Page 191 and 192: B.4 Extension to Moving Pictures 17
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Page 196 and 197: 184 Chapter C. Markov Random Fields
Page 198 and 199: 186 Chapter C. Markov Random Fields
Page 201 and 202: Appendix D Complements to Chapter 5
Page 203 and 204: D.2 Pseudo-code of the implementati
Page 215 and 216: Bibliography [1] COST 211ter Simula
Page 217 and 218: Bibliography 205 [21] E. Decenciere
Page 219: Bibliography 207 [41] R.M. Gray. Ve
Page 223 and 224: Bibliography 211 [86] H.G. Musmann,
Page 225 and 226: Bibliography 213 [110] M.P. Queluz
Page 227: Bibliography 215 [132] F. Vermaut,
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motion estimation and compensation for very low bitrate video coding

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