Anahita: A System for 3D Video Streaming with Depth Customization

Producing high-quality stereoscopic 3D content requires significantly more effort than preparing regular video footage. In order to assure good depth perception and visual comfort, 3D videos need to be carefully adjusted to specific viewing conditions before they are shown to viewers. While most ste...

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Main Authors: Calagari, Kiana, Templin, Krzysztof, Elgamal, Tarek, Diab, Khaled, Didyk, Piotr, Matusik, Wojciech, Hefeeda, Mohamed
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2017
Online Access:http://hdl.handle.net/1721.1/112664
https://orcid.org/0000-0003-0212-5643
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author Calagari, Kiana
Templin, Krzysztof
Elgamal, Tarek
Diab, Khaled
Didyk, Piotr
Matusik, Wojciech
Hefeeda, Mohamed
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Calagari, Kiana
Templin, Krzysztof
Elgamal, Tarek
Diab, Khaled
Didyk, Piotr
Matusik, Wojciech
Hefeeda, Mohamed
author_sort Calagari, Kiana
collection MIT
description Producing high-quality stereoscopic 3D content requires significantly more effort than preparing regular video footage. In order to assure good depth perception and visual comfort, 3D videos need to be carefully adjusted to specific viewing conditions before they are shown to viewers. While most stereoscopic 3D content is designed for viewing in movie theaters, where viewing conditions do not vary significantly, adapting the same content for viewing on home TV-sets, desktop displays, laptops, and mobile devices requires additional adjustments. To address this challenge, we propose a new system for 3D video streaming that provides automatic depth adjustments as one of its key features. Our system takes into account both the content and the display type in order to customize 3D videos and maximize their perceived quality. We propose a novel method for depth adjustment that is well-suited for videos of field sports such as soccer, football, and tennis. Our method is computationally efficient and it does not introduce any visual artifacts. We have implemented our 3D streaming system and conducted two user studies, which show: (i) adapting stereoscopic 3D videos for different displays is beneficial, and (ii) our proposed system can achieve up to 35% improvement in the perceived quality of the stereoscopic 3D content.
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spelling mit-1721.1/1126642022-10-01T19:06:57Z Anahita: A System for 3D Video Streaming with Depth Customization Calagari, Kiana Templin, Krzysztof Elgamal, Tarek Diab, Khaled Didyk, Piotr Matusik, Wojciech Hefeeda, Mohamed Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Templin, Krzysztof Didyk, Piotr Matusik, Wojciech Producing high-quality stereoscopic 3D content requires significantly more effort than preparing regular video footage. In order to assure good depth perception and visual comfort, 3D videos need to be carefully adjusted to specific viewing conditions before they are shown to viewers. While most stereoscopic 3D content is designed for viewing in movie theaters, where viewing conditions do not vary significantly, adapting the same content for viewing on home TV-sets, desktop displays, laptops, and mobile devices requires additional adjustments. To address this challenge, we propose a new system for 3D video streaming that provides automatic depth adjustments as one of its key features. Our system takes into account both the content and the display type in order to customize 3D videos and maximize their perceived quality. We propose a novel method for depth adjustment that is well-suited for videos of field sports such as soccer, football, and tennis. Our method is computationally efficient and it does not introduce any visual artifacts. We have implemented our 3D streaming system and conducted two user studies, which show: (i) adapting stereoscopic 3D videos for different displays is beneficial, and (ii) our proposed system can achieve up to 35% improvement in the perceived quality of the stereoscopic 3D content. 2017-12-08T20:31:35Z 2017-12-08T20:31:35Z 2014-11 Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-3063-3 http://hdl.handle.net/1721.1/112664 Calagari, Kiana, Krzysztof Templin, Tarek Elgamal, Khaled Diab, Piotr Didyk, Wojciech Matusik, and Mohamed Hefeeda. “Anahita.” Proceedings of the ACM International Conference on Multimedia - MM ’14 (2014). ACM Press, 2014, pp. 337–46. https://orcid.org/0000-0003-0212-5643 en_US http://dx.doi.org/10.1145/2647868.2654899 Proceedings of the ACM International Conference on Multimedia - MM '14 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) MIT Web Domain
spellingShingle Calagari, Kiana
Templin, Krzysztof
Elgamal, Tarek
Diab, Khaled
Didyk, Piotr
Matusik, Wojciech
Hefeeda, Mohamed
Anahita: A System for 3D Video Streaming with Depth Customization
title Anahita: A System for 3D Video Streaming with Depth Customization
title_full Anahita: A System for 3D Video Streaming with Depth Customization
title_fullStr Anahita: A System for 3D Video Streaming with Depth Customization
title_full_unstemmed Anahita: A System for 3D Video Streaming with Depth Customization
title_short Anahita: A System for 3D Video Streaming with Depth Customization
title_sort anahita a system for 3d video streaming with depth customization
url http://hdl.handle.net/1721.1/112664
https://orcid.org/0000-0003-0212-5643
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