Name
Abstract | ||
|---|---|---|
Methods based on machine learning (ML) have been recently proposed to improve upon traditional block-based intra-prediction algorithms in modern video codecs [1,2]. Their performance, however, depends on the amount, quality and relevance of the training data. Furthermore, they require signaling the learned parameters to the decoder, thus increasing compressed data volumes. In this work, six new pr... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/DCC50243.2021.00053 | 2021 Data Compression Conference (DCC) |
Keywords | DocType | ISSN |
Video coding,Machine learning algorithms,Neural networks,Training data,Data compression,Machine learning,Prediction algorithms | Conference | 1068-0314 |
ISBN | Citations | PageRank |
978-1-6654-0333-7 | 1 | 0.35 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Victor Sanchez | 1 | 144 | 31.22 |
| Miguel Hernandez-Cabronero | 2 | 27 | 8.82 |
| Joan Serra-Sagristà | 3 | 103 | 27.96 |