Back to articles
Articles
Volume: 32 | Article ID: art00016
Image
Statistical characterization of tile decoding time of HEVC-encoded 360° video
  DOI :  10.2352/ISSN.2470-1173.2020.9.IQSP-285  Published OnlineJanuary 2020
Abstract

In this paper, we present a statistical characterization of tile decoding time of 360° videos encoded via HEVC that considers different tiling patterns and quality levels (i.e., bitrates). In particular, we present results for probability density function estimation of tile decoding time based on a series of experiments carried out over a set of 360° videos with different spatial and temporal characteristics. Additionally, we investigate the extent to which tile decoding time is correlated with tile bitrate (at chunk level), so that DASH-based video streaming can make possible use of such an information to infer tile decoding time. The results of this work may help in the design of queueing or control theory-based adaptive bitrate (ABR) algorithms for 360° video streaming.

Subject Areas :
Views 17
Downloads 2
 articleview.views 17
 articleview.downloads 2
  Cite this article 

Henrique D. Garcia, Mylène C.Q. Farias, Ravi Prakash, Marcelo M. Carvalho, "Statistical characterization of tile decoding time of HEVC-encoded 360° videoin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance XVII,  2020,  pp 285-1 - 285-7,  https://doi.org/10.2352/ISSN.2470-1173.2020.9.IQSP-285

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2020
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA