Name
Abstract | ||
|---|---|---|
The visualization of (ultra) high-resolution compositions created from multiple input bitstreams requires several decoders at the receiving device. Therefore, not all devices can properly display such compositions. To address this problem, the input streams are decoded, merged into a single video, and re-encoded by a transcoder in the network. However, this approach requires a computationally complex re-encoding step. To reduce this complexity, information from the input bit-streams can be reused during transcoding. In HEVC, simply reusing the original encoding information is not compression efficient if the inserted content is not aligned with the grid of coded blocks. In this paper, we applied feature selection based on a decision tree, which was used in a fast HEVC transcoding model for misaligned content. The performance varies depending on the shift and average transform size in the original sequence, resulting in complexity reductions of up to 76%. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICIP.2014.7025503 | Image Processing |
Keywords | Field | DocType |
decision trees,display instrumentation,transcoding,video coding,HEVC transcoding,coded block grid,composition display,computational complex re-encoding,decision tree,encoding information,feature selection,high efficiency video coding,misaligned content,multiple input bitstreams,several decoders,spatially misaligned compositions,ultrahigh-resolution compositions,HEVC,picture composition,transcoding | Computer vision,Transcoding,Decision tree,Feature selection,Reuse,Computer science,Visualization,Algorithm,Real-time computing,Artificial intelligence,Grid,Encoding (memory) | Conference |
ISSN | Citations | PageRank |
1522-4880 | 5 | 0.48 |
References | Authors | |
10 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| johan de praeter | 1 | 33 | 7.95 |
| Jan De Cock | 2 | 388 | 49.57 |
| Glenn Van Wallendael | 3 | 137 | 23.28 |
| Sebastiaan Van Leuven | 4 | 103 | 13.08 |
| Peter Lambert | 5 | 538 | 67.24 |
| Rik Van de Walle | 6 | 2040 | 238.28 |
| De Praeter, J. | 7 | 5 | 0.48 |
| De Cock, J. | 8 | 17 | 2.30 |
| Van Wallendael, G. | 9 | 54 | 9.59 |
| S. Van Leuven | 10 | 54 | 5.87 |