Concurrent Evolution of Pixel Predictor and Context Modeling for Image Coding
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Takamura:2016:ICIP,
-
author = "Seishi Takamura and Atsushi Shimizu",
-
title = "Concurrent Evolution of Pixel Predictor and Context
Modeling for Image Coding",
-
booktitle = "2016 IEEE International Conference on image
Processing, ICIP",
-
year = "2016",
-
editor = "Fernando Pereira and Gaurav Sharma",
-
pages = "2147--2151",
-
address = "Phoenix, Arizona, USA",
-
month = "25-28 " # sep,
-
organisation = "IEEE Signal Processing Society",
-
keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming, image coding, pixel predictor,
context modelling expression: Poster",
-
URL = "http://2016.ieeeicip.org/Papers/viewpapers.asp?papernum=3228",
-
DOI = "doi:10.1109/ICIP.2016.7532738",
-
size = "5 pages",
-
abstract = "Lossless image coding process predicts the value of
current pixel from previously decoded pixel values.
Then the prediction error is classified according to
the context model. This classification splits the
sources with different distributions and hence reduce
the total entropy of the prediction error signals. In
the literature, the predictor has been intensively
studied. Some evolutionary approaches have been applied
to generate a predictor to improve compression
performance. However, the context modelling method has
not relatively been well studied. We propose and
investigate a novel method to automatically obtain
evolved pair of pixel predictor and context modeling.
Simulation results show 1.32-3.90percent bit-rate
reduction against the pair of predictor and context
modeler of one of the best conventional methods
(CALIC). It is also demonstrated that the evolved
algorithm's size is more compact than former results.
We also found that context modeler is evolved in more
complex form than the predictor.",
-
notes = "ICIP 2016 Image and Video Coding. paper MPA-P3.3
NTT Corporation",
- }
Genetic Programming entries for
Seishi Takamura
Atsushi Shimizu
Citations