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 overall image frame quality to degrade with lower bandwidth, salient portions of the image frame maintain 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 ROI's help to eliminate redundancy and can be organized under a motion compensation ruling. 1. INTRODUCTION Classic progressive compression techniques perform compression from coarse to fine frequencies of entire subbands [5]. When encoding the subbands of higher frequency, because of their size it is especially important to encode efficiently while retaining critical details of the scene. Coding schemes such as [2], approach this problem by modeling the whole scene. Adding scalability to such ..