Frame loss visibility modeling of stereoscopic video for H.264/AVC-MVC

We develop a visibility model which can predict the visibility of frame losses in compressed 3D video. The 3D video is encoded using the MVC (multiview coding) extension of the H.264/AVC standard. Frame losses both in the left view (base view) and right view (enhancement view) of the stereoscopic video are considered. A subjective test is conducted to identify which types of frame losses are perceptually noticeable. Several features are extracted from the encoded frames, and then support vector machines are employed to build visibility models based on these features. Results show that our model can predict the visibility of frame losses in stereoscopic video with good accuracy.