Media Quality in Mixed Realities

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: closed (31 August 2019)

Special Issue Editor


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Guest Editor
Department of Computer Science, Central Michigan University, Mount Pleasant, MI, USA
Interests: virtual reality; augmented reality; mixed reality; image quality; video quality; QoE; QoS
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent years have seen a plethora of new multimedia services emerge for wearable devices, including those based on annotations, images, animations, audio, or videos. As the wearable device category is anticipated to increase in importance throughout the consumer space, but also in the context of industrial and governmental application scenarios, an increased demand from these new content consumption modes will be placed on network, service, and content providers alike. Wearable devices, in various degrees ranging from virtual over augmented to completely mixed realities, pose additional challenges in contrast to common display methods, for example due to the on-body placement or latency requirements. In turn, the whole chain from media content generation over processing, transmission with potential transcoding to consumption with or without feedback loops needs to be re-evaluated within this new context.

The aim of this Special Issue is to identify and address current and future challenges and solutions along the entire multimedia consumption value chain in the context of mixed realities, including augmented and virtual reality settings. This includes multimedia content generation and services, encoding challenges with related quality evaluations, such as referential/nonreferential quality metrics, transmission issues that include latency challenges for current and future wireless networks, content adaptation, and Quality of Service (QoS)/Quality of Experience (QoE) considerations. Other, crosscutting approaches, such as crosslayer methodologies combining media characteristics and networking for optimized QoS/QoE or machine-learning-based optimizations are equally of interest for this Special Issue.

Prospective authors are encouraged to submit original high-quality papers that address current challenges or solutions from mixed reality content creation to consumption in response to this call.

Prof. Patrick Seeling
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. Journal of Imaging is an international peer-reviewed open access monthly 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 1800 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

  • Media quality
  • Mixed reality
  • Augmented reality
  • Virtual reality
  • Quality of Experience
  • Quality of Service
  • Multimedia
  • Media quality metrics

Published Papers

There is no accepted submissions to this special issue at this moment.
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