An adaptive view element framework for multi-dimensional data management
Proceedings of the eighth international conference on Information and knowledge management
| Hi-index | 0.00 |
With the rapid advances in computer and communication technologies, there is an increasing demand to build and maintain large image repositories. In order to reduce the demands on I/O and network resources, multiresolution representations of images are being proposed for the storage organization of images. Image decomposition techniques such as {\em wavelets} can be used to provide multiple resolution images. The image is represented by several coefficients, one of them with visual similarity to the original image but at a lower resolution. Thus, these visually similar coefficients can be thought of as the {\em thumbnails} or {\em icons} of the original image. This paper addresses the problem of storing these multiresolution coefficients on disk(s) so that thumbnail browsing as well as image reconstruction can be performed efficiently. Several strategies are evaluated to store the image coefficients on parallel disks. These strategies can be classified into two broad classes depending on whether the browsing pattern of the images is used in the placement of image coefficients. Disk simulation is used to evaluate the performance of these strategies. The data used in the simulation are of two types: the texture samples from the Brodatz collection as well as 50,000 real landsat images. The results indicate that significant performance improvements can be achieved with as few as four disks by placing image coefficients based upon the browsing access patterns.