Name
Title | ||
|---|---|---|
Online-Learning-Based Mode Prediction Method for Quality Scalable Extension of the High Efficiency Video Coding (HEVC) Standard. |
Abstract | ||
|---|---|---|
SHVC, the scalable extension of High Efficiency Video Coding (HEVC), uses advanced inter-layer prediction features in addition to the advanced compression tools of HEVC to improve the compression performance. Using combined features has brought us improved compression performance at the cost of huge computational complexity for the SHVC encoder. This complexity is mainly because of the the inter/i... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCSVT.2016.2576738 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Encoding,Complexity theory,Scalability,Standards,Probabilistic logic,Static VAr compensators | Computer science,Real-time computing,Artificial intelligence,Probabilistic logic,Computer engineering,Video quality,Codec,Pattern recognition,Reduction (complexity),Encoder,Computational complexity theory,Encoding (memory),Scalability | Journal |
Volume | Issue | ISSN |
27 | 10 | 1051-8215 |
Citations | PageRank | References |
6 | 0.45 | 28 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamid Reza Tohidypour | 1 | 38 | 4.66 |
| H. Bashashati | 2 | 11 | 1.55 |
| Mahsa T. Pourazad | 3 | 317 | 35.24 |
| Panos Nasiopoulos | 4 | 559 | 69.57 |