Abstract

Holoscopic imaging, also known as integral, light field, and plenoptic imaging, is an appealing technology for glassless 3D video systems, which has recently emerged as a prospective candidate for future image and video applications, such as 3D television. However, to successfully introduce 3D holoscopic video applications into the market, adequate coding tools that can efficiently handle 3D holoscopic video are necessary. In this context, this paper discusses the requirements and challenges for 3D holoscopic video coding, and presents an efficient 3D holoscopic coding scheme based on High Efficiency Video Coding (HEVC). The proposed 3D holoscopic codec makes use of the self-similarity (SS) compensated prediction concept to efficiently explore the inherent correlation of the 3D holoscopic content in Intra- and Inter-coded frames, as well as a novel vector prediction scheme to take advantage of the peculiar characteristics of the SS prediction data. Extensive experiments were conducted, and have shown that the proposed solution is able to outperform HEVC as well as other coding solutions proposed in the literature. Moreover, a consistently better performance is also observed for a set of different quality metrics proposed in the literature for 3D holoscopic content, as well as for the visual quality of views synthesized from decompressed 3D holoscopic content.

Highlights

  • Three dimensional (3D) video technologies are continuously maturing to provide more immersive visual experiences to the end-users

  • In Intra-coded frames, an optimal prediction for each SS vector is computed for each prediction units (PU) partition, in RD optimization (RDO) sense, using a scheme derived from the High Efficiency Video Coding (HEVC) Advanced Motion Vector Prediction (AVMP) [9], but considering only the vector candidates from spatially neighboring coding block (CB)

  • X Results for different coding schemes: Comparing the performance for solutions based on the micro-image arrangement (i.e., HEVC, 3DHolo, HEVC RExt 6.0, HEVC SCC 1.0), in Fig. 12 and Table 2, it is possible to conclude that coding solutions that somehow exploit the inherent correlation of the 3D holoscopic content (i.e., 3DHolo, HEVC RExt 6.0, HEVC SCC 1.0) lead to a better RD performance compared to the conventional HEVC

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Summary

Introduction

Three dimensional (3D) video technologies are continuously maturing to provide more immersive visual experiences to the end-users. In [10], the authors have already presented preliminary results that show that further performance improvements relatively to HEVC can be reached for 3D holoscopic image coding. This is possible by making use of a self-similarity (SS) compensated prediction. While addressing the aforementioned challenges, this paper proposes an efficient 3D holoscopic codec for Intra and Inter coding based on HEVC.

Principles of holoscopic imaging
Other data arrangements for holoscopic content
Review of 3D Holoscopic Image and Video Coding Schemes
Proposed Codec Architecture
Proposed MI-based prediction for self-similarity vectors
Test Conditions
Experimental Results for Intra Coding
Experimental Results for Different Objective Quality Metrics
Experimental Results for Inter Coding
Future Research Directions
Conclusions

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