Name
Abstract | ||
|---|---|---|
In this paper, we investigate the use of linear, parametric models of static and dynamic texture in the context of conventional transform coding of images and video. We propose a hybrid approach incorporating both conventional transform coding and texture-specific methods for improvement of coding efficiency. Regarding static (i.e., purely spatial) texture, we show that Gaussian Markov random fields (GMRFs) can be used for analysis/synthesis of a certain class of texture. The properties of this model allow us to derive optimal methods for classification, analysis, quantization and synthesis. For video containing dynamic textures, a linear dynamic model can be derived from frames encoded in a conventional fashion. We show that after removing effects from camera motion, this model can be used to synthesize further frames. Beyond that, we show that using synthesized frames in an appropriate fashion for prediction leads to significant bitrate savings while preserving the same peak signal-to-noise ratio (PSNR) for sequences containing dynamic textures. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/JSTSP.2011.2166246 | Selected Topics in Signal Processing, IEEE Journal of |
Keywords | Field | DocType |
Markov processes,data compression,image coding,image texture,transform coding,video coding,Gaussian Markov random fields,bitrate savings,camera motion,coding efficiency,dynamic texture synthesis,image compression,linear dynamic model,linear parametric models,peak signal-to-noise ratio,static texture synthesis,texture-specific methods,transform coding,video compression,Dynamic texture,Gaussian Markov random field (GMRF),perceptual coding,texture synthesis,video coding | Computer vision,Algorithmic efficiency,Parametric model,Image texture,Computer science,Motion compensation,Transform coding,Artificial intelligence,Quantization (signal processing),Data compression,Texture synthesis | Journal |
Volume | Issue | ISSN |
5 | 7 | 1932-4553 |
Citations | PageRank | References |
18 | 0.69 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johannes Ballé | 1 | 120 | 14.14 |
| Aleksandar Stojanovic | 2 | 81 | 5.01 |
| Jens-Rainer Ohm | 3 | 794 | 69.84 |