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Learning image similarity measures from choice data

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River Valley TV

Scheller Lichtenauer, Matthias Zolliker, Peter Lissner, Ingmar Preiss, Jens Urban, Philipp

Formal Metadata

Title

Learning image similarity measures from choice data

Title of Series

The Sixth European Conference on Colour in Graphics, Imaging and Vision (CGIV 2012)

Part Number

6

Number of Parts

31

Author

Scheller Lichtenauer, Matthias

Zolliker, Peter

Lissner, Ingmar

License

CC Attribution - NoDerivatives 2.0 UK: England & Wales:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.

Identifiers

10.5446/31458 (DOI)

Publisher

River Valley TV

Release Date

Language

Content Metadata

Subject Area

Computer Science

Genre

Conference/Talk

Abstract

We present a corpus of experimental data from psychometric studies on gamut mapping and demonstrate its use to develop image similarity measures. We investigate whether similarity measures based on luminance (SSIM) can be improved when features based on chroma and hue are added. Image similarity measures can be applied to automatically select a good image from a sample of transformed images.

Series

The Sixth European Conference on Colour in Graphics, Imaging and Vision (CGIV 2012)6 / 31

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Learning image similarity measures from choice data

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