An Efficient Random Access Light Field Video Compression Utilizing Diagonal Inter-View Prediction
Nusrat Mehajabin, Sichen Roger Luo, Hao Wei Yu, Joseph Kalil Khoury, Jashandeep Kaur, Mahsa T. Pourazad · 2019
A more realistic Virtual and Augmented Reality is promised by the emergence of Light Field (LF) technology. Considering LF technology benefits come with an exponential increase in the amount of data required as well as the complexity of view access, the need for efficient compression and random access schemes is essential. In this study, a novel and efficient pseudo-sequence based LF video compression scheme is proposed that offers the best trade-off between coding and access complexity. The philosophy behind our proposed prediction structure is maximally utilizing the low-level frames in hierarchy prediction structure to achieve better random access at a minimal expense of compression efficiency.