A PCA-wavelet based coding scheme for distance learning

Q. Li, Q.F. Fan, Jia You, P. Bhattacharya

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

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.
Original languageEnglish
Pages214-219
Number of pages6
Publication statusPublished - 2005
EventIASTED International Conference on Communications, Internet, & Information Technology [CIIT] -
Duration: 1 Jan 2005 → …

Conference

ConferenceIASTED International Conference on Communications, Internet, & Information Technology [CIIT]
Period1/01/05 → …

Keywords

  • Distance learning
  • Image coding
  • PCA
  • Wavelet trans form
  • Image classification
  • LBG

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