Big little icons

Research output: Contribution to journal › Conference article › Research › peer-review

Standard

Big little icons. / Rabaud, Vincent; Belongie, Serge.

In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2005.

Research output: Contribution to journal › Conference article › Research › peer-review

Harvard

Rabaud, V & Belongie, S 2005, 'Big little icons', IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. https://doi.org/10.1109/CVPR.2005.422

APA

Rabaud, V., & Belongie, S. (2005). Big little icons. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. https://doi.org/10.1109/CVPR.2005.422

Vancouver

Rabaud V, Belongie S. Big little icons. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2005. https://doi.org/10.1109/CVPR.2005.422

Author

Rabaud, Vincent ; Belongie, Serge. / Big little icons. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2005.

Bibtex

@inproceedings{5f0bad03920d4e5ea5cc567987ee0fcd,
title = "Big little icons",
abstract = "Computer icons are small artificial images designed to be perceived with minimal ambiguity by the human visual system. In order to make them easier to perceive by visually impaired people, we propose a solution to the superresolution problem for color bitmap icons in a manner that exploits the unique characteristics of this medium versus that of generic low resolution natural imagery. We propose an MRF-based solution that incorporates local models of luminance and color perception which lays the basis for a snake-based vectorization of the icon and demonstrates encouraging performance on a diverse set of icons.",
author = "Vincent Rabaud and Serge Belongie",
note = "Funding Information: This work was funded by the UCSD division of Calit2, the California Institute for Telecommunications and Information Technology, NSF-CAREER #0448615, DOE/LLNL contract no. W-7405-ENG-48 (subcontracts B542001 and B547328), and the Alfred P. Sloan Fellowship. The authors would also like to thank S. Agarwal, K. Branson, S. Das-gupta and A. Rabinovich for helpful discussions. Publisher Copyright: {\textcopyright} 2005 IEEE Computer Society. All rights reserved.; 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops ; Conference date: 21-09-2005 Through 23-09-2005",
year = "2005",
doi = "10.1109/CVPR.2005.422",
language = "English",
journal = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",
issn = "2160-7508",

}

RIS

TY - GEN

T1 - Big little icons

AU - Rabaud, Vincent

AU - Belongie, Serge

N1 - Funding Information: This work was funded by the UCSD division of Calit2, the California Institute for Telecommunications and Information Technology, NSF-CAREER #0448615, DOE/LLNL contract no. W-7405-ENG-48 (subcontracts B542001 and B547328), and the Alfred P. Sloan Fellowship. The authors would also like to thank S. Agarwal, K. Branson, S. Das-gupta and A. Rabinovich for helpful discussions. Publisher Copyright: © 2005 IEEE Computer Society. All rights reserved.

PY - 2005

Y1 - 2005

N2 - Computer icons are small artificial images designed to be perceived with minimal ambiguity by the human visual system. In order to make them easier to perceive by visually impaired people, we propose a solution to the superresolution problem for color bitmap icons in a manner that exploits the unique characteristics of this medium versus that of generic low resolution natural imagery. We propose an MRF-based solution that incorporates local models of luminance and color perception which lays the basis for a snake-based vectorization of the icon and demonstrates encouraging performance on a diverse set of icons.

AB - Computer icons are small artificial images designed to be perceived with minimal ambiguity by the human visual system. In order to make them easier to perceive by visually impaired people, we propose a solution to the superresolution problem for color bitmap icons in a manner that exploits the unique characteristics of this medium versus that of generic low resolution natural imagery. We propose an MRF-based solution that incorporates local models of luminance and color perception which lays the basis for a snake-based vectorization of the icon and demonstrates encouraging performance on a diverse set of icons.

UR - http://www.scopus.com/inward/record.url?scp=85047163748&partnerID=8YFLogxK

U2 - 10.1109/CVPR.2005.422

DO - 10.1109/CVPR.2005.422

M3 - Conference article

AN - SCOPUS:85047163748

JO - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

JF - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

SN - 2160-7508

T2 - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops

Y2 - 21 September 2005 through 23 September 2005

ER -

ID: 302054379