Steered mixture-of-experts for light field video coding

Vasileios Avramelos; Ignace Saenen; Ruben Verhack; Glenn Van Wallendael; Peter Lambert; Thomas Sikora

doi:10.1117/12.2320563

17 September 2018 Steered mixture-of-experts for light field video coding

Vasileios Avramelos, Ignace Saenen, Ruben Verhack, Glenn Van Wallendael, Peter Lambert, Thomas Sikora

Proceedings Volume 10752, Applications of Digital Image Processing XLI; 107520B (2018) https://doi.org/10.1117/12.2320563
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

Steered Mixture-of-Experts (SMoE) is a novel framework for representing multidimensional image modalities. In this paper, we propose a coding methodology for SMoE models that is readily extendable to any dimensional SMoE model, thus representing any image modality of any dimension. We evaluate the coding performance of SMoE models of light field video, a 5D image modality, i.e. time, two angular, and two spatial dimensions. The coding consists of the exploiting the redundancy between the parameters of SMoE models, i.e. a set of multivariate Gaussian distributions. We compare the performance of three multi-view HEVC (MV-HEVC) configurations that differ in terms of random access. Each subaperture view from the light field video is interpreted as a single view in MV-HEVC. Experiments validate that excellent coding performance compared to MV-HEVC for low- to midrange bitrates in terms of PSNR and SSIM with bitrate savings up to 75%.

Conference Presentation

Citation Download Citation

Vasileios Avramelos, Ignace Saenen, Ruben Verhack, Glenn Van Wallendael, Peter Lambert, and Thomas Sikora "Steered mixture-of-experts for light field video coding", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 107520B (17 September 2018); https://doi.org/10.1117/12.2320563

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