Efficient automatic detection of 3D video artifacts

Abstract

This paper summarizes some common artifacts in stereo video content. These artifacts lead to poor even uncomfortable 3D viewing experience. Efficient approaches for detecting three typical artifacts, sharpness mismatch, synchronization mismatch and stereoscopic window violation, are presented in detail. Sharpness mismatch is estimated by measuring the width deviations of edge pairs in depth planes. Synchronization mismatch is detected based on the motion inconsistencies of feature points between the stereoscopic channels in a short time frame. Stereoscopic window violation is detected, using connected component analysis, when objects hit the vertical frame boundaries while being in front of the virtual screen. For experiments, test sequences were created in a professional studio environment and state-of-the-art metrics were used for evaluating the proposed approaches. The experimental results show that our algorithms have considerable robustness in detecting 3D defects.