PROJECT TITLE :

An Analytical Model for Synthesis Distortion Estimation in 3D Video - 2014

ABSTRACT:

We tend to propose an analytical model to estimate the synthesized view quality in 3D video. The model relates errors within the depth images to the synthesis quality, taking under consideration texture image characteristics, texture image quality, and therefore the rendering process. Particularly, we tend to decompose the synthesis distortion into texture-error induced distortion and depth-error induced distortion. We analyze the depth-error induced distortion using an approach combining frequency and spatial domain techniques. Experiment results with video sequences and coding/rendering tools used in MPEG 3DV activities show that our analytical model will accurately estimate the synthesis noise power. Therefore, the model will be used to estimate the rendering quality for different system styles.