Name
Abstract | ||
|---|---|---|
Summary form only given. This paper presents two sets of modifications to band offset type of the Sample Adaptive Offset technique in HEVC. First, some constraints on the SAO semantics are added to solve sub-optimal syntax issue and to exploit the actual range information of reconstructed samples. Next, the classification process is adapted to the particular samples statistics. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/DCC.2017.38 | 2017 Data Compression Conference (DCC) |
Keywords | Field | DocType |
SAO,HEVC,offsets | Computer vision,Band offset,Histogram,Computer science,Exploit,Theoretical computer science,Artificial intelligence,Data compression,Syntax,Semantics,Offset (computer science),Encoding (memory) | Conference |
ISSN | ISBN | Citations |
1068-0314 | 978-1-5090-6722-0 | 1 |
PageRank | References | Authors |
0.35 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ya Chen | 1 | 2 | 1.41 |
| Philippe Bordes | 2 | 8 | 4.71 |
| Tangi Poirier | 3 | 1 | 1.37 |
| Fabien Racapé | 4 | 6 | 1.85 |