An Efficient Pseudo-Sequence-Based Light Field Video Coding Utilizing View Similarities for Prediction Structure

Light Field (LF) video technology is a step towards offering a better immersive experience through on-demand refocusing and perspective viewing. However, the significant increase in captured data makes the need for efficient compression of paramount importance. In this paper, we proposed two prediction structures and coding orders that efficiently compress LF video content using the existing HEVC standard. This is achieved by utilizing horizontal and vertical correlation among the views for better inter-view prediction. To assess the performance of the schemes, ten publicly available and widely used LF video sequences were used. Our first method is highly suitable for applications demanding high compression efficiency. It outperforms the best pseudo-sequence-based compression technique to date by up to 17% in bitrate reduction while being scalable in the number of views. The second method is proficient for low computational and random-access complexity to any arbitrary view in the light field video. It offers 10% faster decoding and 20% lower random-access complexity compared to the best existing technique.