Paper Info
Title
Optimizing Landmark Insertions For Interactive Light Field Streaming
Abstract
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 pre synthesized 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.
Year
Venue
Keywords
2017
2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Light field imaging, interactive streaming, video coding
Field
DocType
ISSN
Computer vision,Viewpoints,Computer science,Server,Upload,Greedy algorithm,Light field,Artificial intelligence,Decoding methods,Landmark,Encoding (memory)
Conference
1522-4880
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Yuan Yuan1111.89
Gene Cheung Connie Chan21387121.82
Pascal Frossard3193.50