Region of interest based scalable image and video coding a superlative study

A video consists of many number of frames that contains the valuable information in different ways. Region of interest depends on what we want to extract from the different frames of the video which is application oriented. If for example if one is interested to detect the face of a person from a video then the Region of Interest (ROI) would be the face only. ROI scalability is of greater importance now a days in the field like video surveillance and hand held devices, like where some visual data is more significant and interesting than the non ROI parts of the video. ROI mainly operates on any image and video coding which boosts the regions exclusively which is more important and to have high visual quality. The main aim of SVC is to produce all the three basic scalabilities like temporal, spatial and quality scalabilities of an encoded bit stream. The ROI consists of a region which is important to a particular user with heterogeneous display devices. By doing so, less bandwidth is required for transmission as compared to total region is transmitted or decoded. In this paper we are going to extract the required ROI from the frames of a video sequence and carry out the coding process for Scalability.