Name
Title | ||
|---|---|---|
K-NN search using local learning based on regression for neighbor embedding-based image prediction |
Abstract | ||
|---|---|---|
The paper describes a K-NN search method aided by local learning of subspace mappings for the problem of neighbor-embedding based image Intra prediction. The local learning of subspace mappings relies on multivariate linear regression. The method is used jointly with Locally Linear Embedding (LLE) as well as with a method inspired from Non Local Means (NLM) for prediction. Linear and kernel ridge regression are also considered directly for predicting the unknown pixels. Rate-distortion performances are then given in comparison with Intra prediction using LLE and classical K-NN search, as well as in comparison with H.264 Intra prediction modes. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6638005 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
image coding,rate distortion theory,regression analysis,H.264 intraprediction modes,K-nearest neighbor search,LLE,NLM,data dimensionality reduction,kernel ridge regression,local learning,locally linear embedding,multivariate linear regression,neighbor embedding-based image intraprediction,nonlocal means,rate-distortion performance,subspace mappings,Image compression,data dimensionality reduction,linear regression,prediction | Mathematical optimization,Embedding,Pattern recognition,Principal component regression,Subspace topology,Regression analysis,Non-local means,Computer science,Polynomial regression,Bayesian multivariate linear regression,Artificial intelligence,Linear predictor function | Conference |
ISSN | Citations | PageRank |
1520-6149 | 3 | 0.37 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christine Guillemot | 1 | 1286 | 104.25 |
| Safa Cherigui | 2 | 5 | 1.08 |
| Dominique Thoreau | 3 | 74 | 13.53 |