region-of-interest based image resolution adaptation for mpeg-21 digital item
The upcoming MPEG-21 standard proposes a general framework for augmented use of multimedia services in different network environments, for various users with various terminal devices. In the context of image adaptation, terminals with different screen size limitation require the multimedia adaptation engine to adapt image resources intelligently. Saliency map based visual attention analysis provides some intelligence for finding the attention area within the image. In this paper, we improved the standard MPEG-21 metadata driven adaptation engine by using enhanced saliency map based visual attention model which provides a mean to intelligently adapt JPEG2000 image resolution for different terminal devices with varying screen size according to human visual attention.
image adapt mpeg-21 digitize standardization general use multimedia service network environments users terminals device context image adaptation size engine resource intelligence saliency map visual attention attention analysis paper metadata model mean human  framework  region intelligent resolution