Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/39922
Title: A PCA-wavelet based coding scheme for distance learning
Authors: Li, Q
Fan, QF
You, J 
Bhattacharya, P
Issue Date: 2005
Source: IASTED International Conference on Communications, Internet and Information Technology (CIIT'2005), Cambridge, USA, Oct. 31-Nov. 2, 2005, p. 214-219
Abstract: The large volume of images used in Distance Learning Sys tem are desirable to be compressed in a proper ratio to re duce the storage loading of computer servers and provide better VOD (Video on demand) services. A new PCA Wavelet based coding Scheme for Distance Learning im age compression is proposed in this paper. It consists of 1) Principle Components Analysis (PCA)to reduce the in formation redundancies along temporal dimension and a texture energy (TE)based technique used to classify the image sequence so that the PCA is optimized to produce better representative PCA channels for our handout im ages. 2) Wavelet decomposition and optimized LBG algo rithm for compression in spatial domain. The experimen tal results demonstrate that our proposed coding scheme achieves good performance.
Keywords: Distance learning
Image coding
PCA
Wavelet trans form
Image classification
LBG
Appears in Collections:Conference Paper

Show full item record

Page view(s)

164
Last Week
1
Last month
Citations as of Sep 15, 2020

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.