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Gigapixel Panoramic Video with Virtual Reality

Submission Deadline:  15 August 2020

Submission Deadline: 15 August 2020

IEEE Access invites manuscript submissions in the area of Gigapixel Panoramic Video with Virtual Reality.

Panoramic video is also known as a Panoramic Video Loop, in which traditional static photos are replaced by more dynamic representations. As a counterpart of the image stitching, panoramic video can provide more information and improve the quality of digital entertainment. Unlike a typical rectangular video that shows only the front view of a scene, gigapixel panoramic video captures omni-directional lights from the surrounding environment. This allows a viewer to interactively look around the scene, possibly providing a strong sense of presence. This potential change of the viewing paradigm arising from the use of gigapixel panoramic vides has attracted much attention from the industry and the general public. Panoramic video streaming services are now available through companies such as YouTube and Facebook, and head-mounted display devices such as Samsung Gear VR and Oculus Rift, which support 360-degree viewing, are starting to be more commonly used. In the fields of virtual reality and augmented reality, content creators have constructed gigapixel panoramic video in order to deliver stories with more visually immersive experiences than previously possible.

Although constructing image panoramas by assembling multiple photos from a shared viewpoint is a well-studied problem, it is still difficult to construct large-scale panoramic video. Generally, the key step for constructing gigapixel panoramic video is to stitch unsynchronized videos into a large-scale dynamic panorama. The processing of gigapixel panoramic video construction involves several stages including video stabilization, dynamic feature tracking, vignetting correction, gain compensation, loop optimization, color consistency and image blending. At present, all existing panoramic video devices use tiled multiscale image structures to enable viewers to interactively explore the captured image stream. Size, weight, power and cost of the devices are central challenges in gigapixel panoramic video.

This Special Section aims to review the latest results of image panorama techniques and devices in gigapixel panoramic video construction, as well as their applications. We hope that the Special Section will also help researchers exchange the latest technical progress in the field.

The topics of interest include, but are not limited to:

  • Gigapixel panoramic video loops
  • Gigapixel image stitching
  • Video stabilization for gigapixel video panorama
  • Gain compensation
  • Color consistency for gigapixel panoramic video
  • Image blending for gigapixel panoramic video
  • Vignetting correction for gigapixel panoramic video
  • Loop optimization for gigapixel panoramic video
  • Gigapixel panoramic video for virtual reality
  • Gigapixel panoramic video for augmented reality
  • Novel devices for producing Gigapixel panoramic video
  • Novel approaches to gigapixel panoramic video-based content creation
  • Super-resolution for Gigapixel image/video

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility and downloads of articles.

 

Associate Editor:  Zhihan Lv, University of Barcelona, Spain

Guest Editors:

    1. Shangfei Wang, School of Computer Science and Technology, China
    2. Rong Shi, Facebook, USA
    3. Neeraj Kumar, Thapar Institute of Engineering and Technology, India

 

Relevant IEEE Access Special Sections:

  1. Recent Advances in Video Coding and Security
  2. Advanced Optical Imaging for Extreme Environments
  3. Biologically inspired image processing challenges and future directions


IEEE Access Editor-in-Chief:
  Prof. Derek Abbott, University of Adelaide

Article submission: Contact Associate Editor and submit manuscript to:
http://mc.manuscriptcentral.com/ieee-access

For inquiries regarding this Special Section, please contact: lvzhihan@gmail.com.