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IJHPCA
2008
104views more  IJHPCA 2008»
13 years 5 months ago
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
Qian Du, James E. Fowler
SSD
2005
Springer
98views Database» more  SSD 2005»
13 years 11 months ago
Medoid Queries in Large Spatial Databases
Assume that a franchise plans to open k branches in a city, so that the average distance from each residential block to the closest branch is minimized. This is an instance of the ...
Kyriakos Mouratidis, Dimitris Papadias, Spiros Pap...
PCM
2005
Springer
88views Multimedia» more  PCM 2005»
13 years 11 months ago
A Robust Method for Data Hiding in Color Images
In this paper, we propose a methodology for embedding watermark image data into color images. At the transmitter, the signature image is encoded by a multiple description encoder. ...
Mohsen Ashourian, Payman Moallem, Yo-Sung Ho
ICMCS
2005
IEEE
109views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Spatial Error Concealment Based on Bezier Curves
This paper presents a geometric error concealment scheme for DCT-based image/video data based on the Bezier polynomials (BP). The proposed scheme makes use of the average edge dir...
Rogelio Hasimoto-Beltran, Ashfaq A. Khokhar
ICPR
2010
IEEE
13 years 9 months ago
Spatial Representation for Efficient Sequence Classification
We present a general, simple feature representation of sequences that allows efficient inexact matching, comparison and classification of sequential data. This approach, recently ...
Pavel Kuksa, Vladimir Pavlovic