loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Sahil Saroop 1 ; Herna L. Viktor 1 ; Patrick McCurdy 1 and Eric Paquet 2

Affiliations: 1 University of Ottawa, Canada ; 2 University of Ottawa and National Research Council, Canada

Keyword(s): Content-based Retrieval, Multimedia Data Mining, Bitumen Sands, Multi-domain Classification, Class Imbalance.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Multimedia Data ; Soft Computing ; Symbolic Systems

Abstract: Debates over Canada’s energy future with its oil sands has become a flashpoint of public interest. Stakeholders have identified advantages, such as economic benefit and global energy demand, and drawbacks, notably environmental and social challenges. This research focuses on discovering how various organizations employ graphics, images and videos in the media, in order to further our understanding of the context and evolution of the oil sands discourse, since the late 1960s. To this end, we created the open-source Mediatoil database contains images from six categories of imagery, namely graphics, machines, people, landscape, protest and open-pit. We further created the Mediatoil-IR content-based image retrieval system that utilizes SURF descriptors and bags of features. We illustrate how the Mediatoil-IR system was used in order to explore and to contrast the imagery used by the various stakeholders, within a multi-class learning setting. Our experimental results show that dividing t he images into sub-categories is beneficial for retrieval and classification. (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 3.236.16.13

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:
Saroop, S.; Viktor, H.; McCurdy, P. and Paquet, E. (2017). Exploring Mediatoil Imagery: A Content-based Approach. In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR, ISBN 978-989-758-271-4; ISSN 2184-3228, pages 246-254. DOI: 10.5220/0006502702460254

@conference{kdir17,
author={Sahil Saroop. and Herna L. Viktor. and Patrick McCurdy. and Eric Paquet.},
title={Exploring Mediatoil Imagery: A Content-based Approach},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR,},
year={2017},
pages={246-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006502702460254},
isbn={978-989-758-271-4},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR,
TI - Exploring Mediatoil Imagery: A Content-based Approach
SN - 978-989-758-271-4
IS - 2184-3228
AU - Saroop, S.
AU - Viktor, H.
AU - McCurdy, P.
AU - Paquet, E.
PY - 2017
SP - 246
EP - 254
DO - 10.5220/0006502702460254

0123movie.net