Paper Info
Title
Coding of distortion-corrected fisheye video sequences using H.265/HEVC
Abstract
Images and videos captured by fisheye cameras exhibit strong radial distortions due to their large field of view. Conventional intra-frame as well as inter-frame prediction techniques as employed in hybrid video coding schemes are not designed to cope with such distortions, however. So far, captured fish-eye data has been coded and stored without consideration to any loss in efficiency resulting from radial distortion. This paper investigates the effects on the coding efficiency when applying distortion correction as a pre-processing step as opposed to the state-of-the-art method of post-processing. Both methods make use of the latest video coding standard H.265/HEVC and are compared with regard to objective as well as subjective video quality. It is shown that a maximum PSNR gain of 1.91 dB for intra-frame and 1.37 dB for inter-frame coding is achieved when using the pre-processing method. Average gains amount to 1.16 dB and 0.95 dB for intra-frame and inter-frame coding, respectively.
Year
DOI
Venue
2014
10.1109/ICIP.2014.7025839
Image Processing
Keywords
Field
DocType
cameras,distortion,image sequences,video coding,H.265/HEVC,PSNR,captured fish-eye data,distortion-corrected fisheye video sequence coding,fisheye cameras,hybrid video coding schemes,interframe coding,interframe prediction techniques,intraframe coding,intraframe prediction techniques,objective video quality,radial distortions,subjective video quality,H.265/HEVC,Video coding,fisheye,pre-processing,radial distortion correction
Distortion (optics),Computer vision,Algorithmic efficiency,Coding tree unit,Computer science,Multiview Video Coding,Subjective video quality,Coding (social sciences),Artificial intelligence,Distortion,Context-adaptive binary arithmetic coding
Conference
ISSN
Citations 
PageRank 
1522-4880
1
0.38
References 
Authors
6
2
Name
Order
Citations
PageRank
Andrea Eichenseer152.33
André Kaup2861127.24