Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Optimizing Landmark Insertions for Interactive Light Field Streaming
 
conference paper

Optimizing Landmark Insertions for Interactive Light Field Streaming

Yuan, Yuan  
•
Cheung, Gene
•
Frossard, Pascal  
2017
Proceedings of IEEE ICIP
2017 IEEE International Conference on Image Processing (ICIP)

Light field imaging enables a user to navigate and observe a static 3D scene from different viewpoints. Downloading the entire data prior to navigation would incur a large startup delay. Instead, previous works propose an interactive light field streaming (ILFS) framework, where a user periodically requests a viewpoint, and in response the server transmits a presynthesized and encoded viewpoint image. Using I-frame, P-frame and previously proposed merge frame that facilitates view-switches, the challenge is how to design and pre-encode a storage-constrained frame structure to enable efficient view navigation. In this paper, we initialize “landmarks” into a structure to improve ILFS performance. A landmark is a designated view with P-frames to/from each neighborhood view, so that any viewpoint image can transition to any other viewpoint image by first visiting a landmark, and then from the landmark to the destination view. This results in a transmission cost of only two P-frames. Using a Lloyd's algorithm variant, we first incrementally insert into a frame structure landmarks one at a time at locally optimal locations. We then employ a greedy algorithm to add / subtract P-frames based on a rate-storage criterion. Experimental results show that our proposed structures have noticeably lower expected transmission cost for the same storage than structures generated by a previous greedy algorithm.

  • Details
  • Metrics
Type
conference paper
DOI
10.1109/ICIP.2017.8296676
Author(s)
Yuan, Yuan  
Cheung, Gene
Frossard, Pascal  
Date Issued

2017

Published in
Proceedings of IEEE ICIP
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LTS4  
Event nameEvent placeEvent date
2017 IEEE International Conference on Image Processing (ICIP)

Beijing, China

17-20 Sept. 2017

Available on Infoscience
March 19, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/145625
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés