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Electronics
Special Issues
Digital Media Processing for Immersive Communications
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Digital Media Processing for Immersive Communications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (31 October 2019) | Viewed by 11984

Special Issue Editor

Dr. Cristian Perra

E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, University of Cagliari, 09124 Cagliari, Italy
Interests: immersive media (lightfield, holography) coding and compression; multimedia quality of experience
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Progress in technology has led to the development of new forms of media technologies and services in the areas of virtual, augmented, and mixed reality (VR/AR/MR). New imaging modalities, such as texture-plus-depth, light field, point cloud, and holographic imaging, are the digital signals at the heart of these media technologies. Many challenges that need to be faced are related to the development of efficient data representation formats, data coding and compression tools, communication protocols, and the assessment and evaluation of the quality of experience and user experience. This Special Issue aims at exploring the current research activities in immersive media communications.

Dr. Cristian Perra
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Immersive media acquisition
  • Immersive media coding
  • Immersive media compression
  • Immersive media filtering
  • Immersive media objective quality evaluation
  • Immersive media quality of experience
  • Immersive media signal processing
  • Immersive media subjective quality evaluation
  • Immersive media transmission
  • Immersive media user experience
  • Immersive media user interaction

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Published Papers (3 papers)

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Research

15 pages, 14027 KiB  
Article
A Feature Integrated Saliency Estimation Model for Omnidirectional Immersive Images
by Pramit Mazumdar, Kamal Lamichhane, Marco Carli and Federica Battisti
Electronics 2019, 8(12), 1538; https://doi.org/10.3390/electronics8121538 - 13 Dec 2019
Cited by 7 | Viewed by 3086
Abstract
Omnidirectional, or 360°, cameras are able to capture the surrounding space, thus providing an immersive experience when the acquired data is viewed using head mounted displays. Such an immersive experience inherently generates an illusion of being in a virtual environment. The popularity of [...] Read more.
Omnidirectional, or 360°, cameras are able to capture the surrounding space, thus providing an immersive experience when the acquired data is viewed using head mounted displays. Such an immersive experience inherently generates an illusion of being in a virtual environment. The popularity of 360° media has been growing in recent years. However, due to the large amount of data, processing and transmission pose several challenges. To this aim, efforts are being devoted to the identification of regions that can be used for compressing 360° images while guaranteeing the immersive feeling. In this contribution, we present a saliency estimation model that considers the spherical properties of the images. The proposed approach first divides the 360° image into multiple patches that replicate the positions (viewports) looked at by a subject while viewing a 360° image using a head mounted display. Next, a set of low-level features able to depict various properties of an image scene is extracted from each patch. The extracted features are combined to estimate the 360° saliency map. Finally, bias induced during image exploration and illumination variation is fine-tuned for estimating the final saliency map. The proposed method is evaluated using a benchmark 360° image dataset and is compared with two baselines and eight state-of-the-art approaches for saliency estimation. The obtained results show that the proposed model outperforms existing saliency estimation models. Full article
(This article belongs to the Special Issue Digital Media Processing for Immersive Communications)
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17 pages, 20661 KiB  
Article
Recent Advances in the Processing and Rendering Algorithms for Computer-Generated Holography
by Roberto Corda, Daniele Giusto, Antonio Liotta, Wei Song and Cristian Perra
Electronics 2019, 8(5), 556; https://doi.org/10.3390/electronics8050556 - 17 May 2019
Cited by 15 | Viewed by 5705
Abstract
Digital holography represents a novel media which promises to revolutionize the way the users interacts with content. This paper presents an in-depth review of the state-of-the-art algorithms for advanced processing and rendering of computer-generated holography. Open-access holographic data are selected and characterized as [...] Read more.
Digital holography represents a novel media which promises to revolutionize the way the users interacts with content. This paper presents an in-depth review of the state-of-the-art algorithms for advanced processing and rendering of computer-generated holography. Open-access holographic data are selected and characterized as references for the experimental analysis. The design of a tool for digital hologram rendering and quality evaluation is presented and implemented as an open-source reference software, with the aim to encourage the approach to the holography research area, and simplify the rendering and quality evaluation tasks. Exploration studies focused on the reproducibility of the results are reported, showing a practical application of the proposed architecture for standardization activities. A final discussion on the results obtained is reported, also highlighting the future developments of the reconstruction software that is made publicly available with this work. Full article
(This article belongs to the Special Issue Digital Media Processing for Immersive Communications)
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13 pages, 2151 KiB  
Article
Fast Depth Intra Mode Decision Based on Mode Analysis in 3D Video Coding
by Jin Young Lee
Electronics 2019, 8(4), 430; https://doi.org/10.3390/electronics8040430 - 13 Apr 2019
Cited by 3 | Viewed by 2556
Abstract
Multiview video plus depth (MVD), which consists of a texture image and its associated depth map, has been introduced as a 3D video format, and 3D video coding, such as 3D-HEVC, was developed to efficiently compress this MVD data. However, this requires high [...] Read more.
Multiview video plus depth (MVD), which consists of a texture image and its associated depth map, has been introduced as a 3D video format, and 3D video coding, such as 3D-HEVC, was developed to efficiently compress this MVD data. However, this requires high encoding complexity because of the additional depth coding. In particular, intra coding using various prediction modes is very complicated. To reduce the complexity, we propose a fast depth intra mode decision method based on mode analysis. The proposed method adaptively reduces the number of original candidate modes in a mode decision process. Experimental results show that the proposed method achieves high performance in terms of the complexity reduction. Full article
(This article belongs to the Special Issue Digital Media Processing for Immersive Communications)
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