Macropixel-constrained Collocated Position Search for Plenoptic Video Coding

Abstract

The plenoptic video recording light fields varying with time has the large-range motion and complex macropixel structure, which brings a great challenge to efficient compression. Based on the analysis of the relationship between temporal motion and macropixel arrangement, an efficient motion estimation algorithm is proposed for plenoptic video compression. It finetunes motion vector predictor (MVP) by the macropixel-constrained collocated position of the current prediction unit in the nearest macropixel, and uses all the macropixel-constrained collocated positions, derived from the finetuned MVP, as motion search candidates for better complexity and compression-efficiency trade-off. The experimental results demonstrate that the proposed algorithm outperforms multi-view based compression and the pseudovideo based compression by an average of 56.40% and 78.72% bitrate reduction, respectively. Compared with HEVC, the proposed method can also save 7.65% bitrate.