The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
Exploiting the JPEG Compression Scheme for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial Color Indexing and Applications
International Journal of Computer Vision
Hi-index | 0.00 |
In this paper a new image representation for compressed domain image retrieval and an image retrieval system are presented. To represent images compactly and hierarchically, multiple features such as color and texture features directly extracted from DCT coefficients are structurally organized using vector quantization. To train the codebook, a new Minimum Description Length vector quantization algorithm is used and it automatically decides the number of code words. To compare two images using the proposed representation, a new efficient similarity measure is designed. The new method is applied to an image database with 1,005 pictures. The results demonstrate that the method is applid to an image database with methods and two DCT-based image retrieval methods.