Macropixelconstrained Collocated Position Search for Plenoptic Video Coding The plenoptic video recording light fields varying with time has the largerange 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 macropixelconstrained collocated position of the current prediction unit in the nearest macropixel, and uses all the macropixelconstrained collocated positions, derived from the finetuned MVP, as motion search candidates for better complexity and compressionefficiency tradeoff. The experimental results demonstrate that the proposed algorithm outperforms multiview 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.

A Novel Randomize Hierarchical Extension of MVHEVC for Improved Light Field Compression This paper presents a novel scheme for light field compression based on a randomize hierarchical multiview extension of high efficiency video coding (dubbed as RHMVHEVC). Specifically, a light field data are arranged as a multiple pseudotemporal video sequences which are efficiently compressed with MVHEVC encoder, following an integrated random coding technique and hierarchical prediction scheme. The critical advantage of proposed RHMVHEVC scheme is that it utilizes not just a temporal and interview prediction, but efficiently exploits the strong intrinsic similarities within each subaperture image and among neighboring subaperture images in both horizontal and vertical directions. Experimental results consistently outperform the stateoftheart compression methods on benchmark ICME 2016 and ICIP 2017 grand challenge data sets. It achieves an average up to 33.803% BDrate reduction and 1.7978 dB BDPSNR improvement compared with an advanced JEM video encoder, and an average 20.4156% BDrate reduction and 2.0644 dB BDPSNR improvement compared with a latest imagebased JEManchor coding scheme.