A new object based quality metric based on SIFT and SSIM

Author

Decombas, Marc ; Dufaux, Frederic ; Renan, E. ; Pesquet-Popescu, B. ; Capman, F.

Author_Institution

Lab. MMP, Thales Commun. & Security, Colombes, France

fYear

2012

fDate

Sept. 30 2012-Oct. 3 2012

Firstpage

1493

Lastpage

1496

Abstract

We propose a full reference visual quality metric to evaluate a semantic coding system which may not preserve exactly the position and/or the shape of objects. The metric is based on Scale-Invariant Feature Transform (SIFT) points. More specifically, Structural SIMilarity (SSIM) on windows around the SIFT points measures the compression artifacts (SSIM_SIFT). Conversely, the standard deviation of the matching distance between the SIFT points measures the geometric distortion (GEOMETRIC_SIFT). We validate our metric with subjective evaluation and reach a Spearman correlation of 0.86 for SSIM_SIFT and 0.74 for GEOMETRIC_SIFT.

Keywords

geometry; image matching; video coding; SIFT points; SSIM; full reference visual quality metric; geometric distortion; matching distance; object based quality metric; scale-invariant feature transform; structural similarity; video coding techniques; Containers; Correlation; Distortion measurement; Image coding; Video coding; Visualization; Object-based metric; SIFT; SSIM; subjective evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2012 19th IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1522-4880

Print_ISBN

978-1-4673-2534-9

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2012.6467154

Filename

6467154