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Using Depth to Enhance Video-centric Applications

Published: 07 June 2024 Publication History

Abstract

Acquiring depth data has become easily achievable with advancements in depth sensing and depth estimation technologies. As a result, obtaining a depth stream to describe the topology of a corresponding video stream has been considerably simplified. Presence of a depth stream offers numerous benefits, including the integration of advanced visual enhancements to the corresponding video stream in a flexible and efficient manner. This can enrich video-centric applications and facilitate their transition to Augmented Reality (AR) environments, where processing capabilities and battery power are limited. In this paper, we introduce VidDepth, an application developed for mobile devices to demonstrate examples of visual enhancements in video playback scenarios across both traditional and AR settings.

References

[1]
Ruofei Du, Eric Turner, Maksym Dzitsiuk, Luca Prasso, Ivo Duarte, Jason Dourgarian, Joao Afonso, Jose Pascoal, Josh Gladstone, Nuno Cruces, 2020. DepthLab: Real-time 3D interaction with depth maps for mobile augmented reality. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology. 829–843.
[2]
Google. 2024. ARCore Use Depth in your Android app. Retrieved March 27, 20024 from https://developers.google.com/ar/develop/java/depth/developer-guide
[3]
Emmanouil Potetsianakis and Emmanuel Thomas. 2023. MiroAR: Ubiquitous AR Teleconferencing Through The Mirror. In Proceedings of the 2023 ACM International Conference on Interactive Media Experiences. 379–381.
[4]
Emmanouil Potetsianakis and Emmanuel Thomas. 2023. Video Decoding Performance and Requirements for XR Applications. In Proceedings of the 14th Conference on ACM Multimedia Systems. 323–327.

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Published In

cover image ACM Conferences
IMX '24: Proceedings of the 2024 ACM International Conference on Interactive Media Experiences
June 2024
465 pages
ISBN:9798400705038
DOI:10.1145/3639701
  • Editors:
  • Asreen Rostami,
  • Donald McMillan,
  • Jonathan Hook,
  • Irene Viola,
  • Jun Nishida,
  • Hanuma Teja Maddali,
  • Alexis Clay
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 June 2024

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Author Tags

  1. AR
  2. RGBD
  3. XR
  4. depth
  5. video

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  • Demonstration
  • Research
  • Refereed limited

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IMX '24

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Overall Acceptance Rate 69 of 245 submissions, 28%

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