Vector quantization and signal compression
Vector quantization and signal compression
International Journal of Computer Vision
Communication and computing for distributed multimedia systems
Communication and computing for distributed multimedia systems
Introduction to data compression (2nd ed.)
Introduction to data compression (2nd ed.)
Theory of keyblock-based image retrieval
ACM Transactions on Information Systems (TOIS)
Vector Quantization
An Evaluation of Color-Spatial Retrieval Techniques for Large Image Databases
Multimedia Tools and Applications
An Evaluation of the Robustness of Image Retrieval Based on Vector Quantization
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Histogram refinement for content-based image retrieval
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Multimedia Systems and Content-Based Image Retrieval
Multimedia Systems and Content-Based Image Retrieval
The Colour Image Processing Handbook (Optoelectronics, Imaging and Sensing)
The Colour Image Processing Handbook (Optoelectronics, Imaging and Sensing)
Improved batch fuzzy learning vector quantization for image compression
Information Sciences: an International Journal
IPSILON: incremental parsing for semantic indexing of latent concepts
IEEE Transactions on Image Processing
A novel image retrieval model based on the most relevant features
Knowledge-Based Systems
Hi-index | 0.01 |
To effectively utilize information stored in a digital image library, effective image indexing and retrieval techniques are essential. This paper proposes an image indexing and retrieval technique based on the compressed image data using vector quantization (VQ). By harnessing the characteristics of VQ, the proposed technique is able to capture the spatial relationships of pixels when indexing the image. Experimental results illustrate the robustness of the proposed technique and also show that its retrieval performance is higher compared with existing color-based techniques.