A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contrast-based image attention analysis by using fuzzy growing
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Robust subspace analysis for detecting visual attention regions in images
Proceedings of the 13th annual ACM international conference on Multimedia
Region-based visual attention analysis with its application in image browsing on small displays
Proceedings of the 15th international conference on Multimedia
Detection of visual attention regions in images using robust subspace analysis
Journal of Visual Communication and Image Representation
Hybrid Shading Model Based on Device Performance for LOD Adaptive Service
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Salient region detection by modeling distributions of color and orientation
IEEE Transactions on Multimedia
Spatial-temporal video browsing for mobile environment based on visual attention analysis
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
An automatic image browsing technique for small display users
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
Service rendering middleware (SRM) based on the intelligent LOD algorithm
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
| Hi-index | 0.01 |
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.