Image retrieval for compressed and uncompressed images
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Content-Based image retrieval via vector quantization
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Index model for image retrieval using SIFT distortion
International Journal of Intelligent Information and Database Systems
Sorting JPEG images at a glance
Proceedings of the 4th ACM Multimedia Systems Conference
| Hi-index | 0.43 |
In this paper, we propose a new technique for the storage and retrieval of compressed images. Here, the images are compressed using vector quantization and the codebook is used to generate a feature vector. This feature vector is used as an index to access the images in the database. This technique combines image compression with image indexing. In addition, it has lower storage and computation requirements compared with other techniques reported in the literature