Saliency-based visual representation for compression

This paper presents a representation for video with application to coding. In recent years, scalability of image compression systems has gained in popularity. Our approach is scalable in the normal sense, but instead of allowing the overall image frame quality to degrade with lower bandwidth, salient portions of the image frame maintain a high quality while less important portions are allowed to degrade. The judgment of importance is made by a region-of-interest (ROI) finder. The use of prioritized ROIs help to eliminate redundancy and can be organized under a motion compensation ruling