Abstract
The large volume of images used in Distance Learning System are desirable to be compressed in a proper ratio to reduce the storage loading of computer servers and provide better VOD (Video on demand) services. A new PCA-Wavelet based coding Scheme for Distance Learning image compression is proposed in this paper. It consists of 1) Principle Components Analysis (PCA)to reduce the information 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 images. 2) Wavelet decomposition and optimized LEG algorithm for compression in spatial domain. The experimental results demonstrate that our proposed coding scheme achieves good performance.
Original language | English |
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Title of host publication | Proceedings of the Fourth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2005 |
Pages | 214-219 |
Number of pages | 6 |
Publication status | Published - 1 Dec 2005 |
Event | Fourth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2005 - Cambridge, MA, United States Duration: 31 Oct 2005 → 2 Nov 2005 |
Conference
Conference | Fourth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2005 |
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Country/Territory | United States |
City | Cambridge, MA |
Period | 31/10/05 → 2/11/05 |
Keywords
- Distance Learning
- Image Classification
- Image Coding
- LBG
- PCA
- Wavelet Transform
ASJC Scopus subject areas
- General Engineering