Name
Abstract | ||
|---|---|---|
In the developing scalable extension of the HEVC/H.265 standard, a low-resolution baselayer picture may be used for predicting a higher resolution enhancement layer. This requires an upsampling process to generate the prediction, and this upsampling process is traditionally a linear and time invariant interpolator. In this paper, we consider an upsampling design that is both non-linear and content adaptive. This choice is motivated by the compression noise in the baselayer. We propose a novel approach to include content-aware filtering into the upsampling process. It has low complexity. More importantly, it has low latency and uses the same number of line buffers as a linear interpolator. Results show the efficacy of the method. Specifically, using the test model for the scalable extension of HEVC/H.265, we observe an average bit-rate reduction of 1.1%, when the change in resolution between layers is a factor of two in each dimension. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/PCS.2013.6737762 | PCS |
Keywords | Field | DocType |
resolution enhancement layer prediction,h.265 standard,content adaptive upsampling,interpolation,image resolution,scalable video coding,image sampling,hevc standard,image retrieval,video coding,baselayer picture,compression noise,code standards,adaptive codes,image enhancement,error statistics,line buffer,bit rate reduction,content-based retrieval,time invariant interpolator,linear interpolator,content aware filtering | LTI system theory,Computer vision,Computer science,Interpolation,Image retrieval,Filter (signal processing),Theoretical computer science,Artificial intelligence,Latency (engineering),Upsampling,Scalability,Scalable Video Coding | Conference |
ISSN | ISBN | Citations |
2330-7935 | 978-1-4799-0292-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Zhao | 1 | 0 | 0.34 |
| Kiran M. Misra | 2 | 68 | 5.49 |
| C. Andrew Segall | 3 | 220 | 17.78 |