loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Marco Bressan ; Gabriela Csurka and Sebastien Favre

Affiliation: Xerox Research Centre Europe, France

Keyword(s): Intent-based image enhancement, semantic content, image understanding, photographic aesthetics.

Abstract: Image enhancement is mostly driven by intent and its future largely relies on our ability to map the space of intentions with the space of possible enhancements. Taking into account the semantic content of an image is an important step in this direction where contextual and aesthetic dimensions are also likely to have an important role. In this article we detail the state-of-the-art and some recent efforts in for semantic or content-dependent enhancement. Through a concrete example we also show how image understanding and image enhancement tools can be brought together. We show how the mapping between semantic space and enhancements can be learnt from user evaluations when the purpose is subjective quality measured by user preference. This is done by introducing a discretization of both spaces and notions of coherence, agreement and relevance to the user response. Another example illustrates the feasibility of solving the situation where the binary option of whether or not to enhance is considered. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 13.58.247.31

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Bressan, M.; Csurka, G. and Favre, S. (2007). TOWARDS INTENT DEPENDENT IMAGE ENHANCEMENT - State-of-the-art and Recent Attempts. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP; ISBN 978-972-8865-74-0; ISSN 2184-4321, SciTePress, pages 208-218. DOI: 10.5220/0002068202080218

@conference{visapp07,
author={Marco Bressan. and Gabriela Csurka. and Sebastien Favre.},
title={TOWARDS INTENT DEPENDENT IMAGE ENHANCEMENT - State-of-the-art and Recent Attempts},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP},
year={2007},
pages={208-218},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002068202080218},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP
TI - TOWARDS INTENT DEPENDENT IMAGE ENHANCEMENT - State-of-the-art and Recent Attempts
SN - 978-972-8865-74-0
IS - 2184-4321
AU - Bressan, M.
AU - Csurka, G.
AU - Favre, S.
PY - 2007
SP - 208
EP - 218
DO - 10.5220/0002068202080218
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic