Efficient compression method for integral images using multi-view video coding

Shi, Shasha; Gioia, Patrick; Madec, Gérard

doi:10.1109/icip.2011.6115695

Cited by 38 publications

(23 citation statements)

References 9 publications

(9 reference statements)

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“…x Multiview-based video coding: Some coding schemes propose to decompose the 3D holoscopic video into several viewpoint sequences to be represented as a multiview video [31][32][33]. In [31], a coding scheme based on an evolutionary strategy is proposed to jointly exploit temporal motion and disparity between adjacent viewpoint images.…”

Section: Review Of 3d Holoscopic Image and Video Coding Schemesmentioning

confidence: 99%

“…In [31], a coding scheme based on an evolutionary strategy is proposed to jointly exploit temporal motion and disparity between adjacent viewpoint images. Similarly, in [32,33], the sequence in each viewpoint is encoded using multiview video coding (MVC) [34] by defining different scanning orders. A common characteristic of these coding schemes is that they usually consider computer generated sequences with only a small numbers of VIs (up to 9).…”

Section: Review Of 3d Holoscopic Image and Video Coding Schemesmentioning

confidence: 99%

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HEVC-based 3D holoscopic video coding using self-similarity compensated prediction

Conti

Soares

Nunes

2016

Signal Processing: Image Communication

107

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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 Intraand 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.

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Section: Review Of 3d Holoscopic Image and Video Coding Schemesmentioning

confidence: 99%

Section: Review Of 3d Holoscopic Image and Video Coding Schemesmentioning

confidence: 99%

HEVC-based 3D holoscopic video coding using self-similarity compensated prediction

Conti

Soares

Nunes

2016

Signal Processing: Image Communication

107

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“…Our experiments also include state-of-the-art structures [47] and [48] illustrated in Fig. 4.14c, d, and the spiral scan with IBP structure [33] illustrated in Fig. 4.12.…”

Section: Reference and Proposed Schemementioning

confidence: 99%

“…In [33], the views are first scanned in spiral as illustrated in Fig. 4.12a and realigned horizontally.…”

Section: Improvements For Full Parallaxmentioning

confidence: 99%

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Full Parallax 3D Video Content Compression

Dricot

Jung

Cagnazzo

et al. 2014

Novel 3D Media Technologies

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Motion parallax is a key cue in the perception of the depth that current 3D stereoscopy and auto-stereoscopy technologies are not able to reproduce. Integral imaging and Super Multi-View video (SMV) are 3D technologies that allow creating a light-field representation of a scene with a smooth full motion parallax (i.e., in horizontal and vertical directions). However the large amount of data required is challenging and implies a need for new efficient coding technologies. This chapter first describes integral imaging and SMV content, acquisition, and display. Then it provides an overview of state-of-the-art methods for full parallax 3D content compression. Finally, several coding schemes are compared and a coding structure that exploits inter-view correlations in both horizontal and vertical directions is proposed. The new structure provides a rate reduction (for the same quality) up to 29.1 % when compared to a basic anchor structure. Neighboring Block Disparity Vector (NBDV) and Inter-View Motion Prediction (IVMP) coding tools are further improved to efficiently exploit coding structures in two dimensions, with rate reduction up to 4.2 % with respect to the reference 3D-HEVC encoder.

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