Image Labeling by Integrating Global Information by 7 Patches and Local Information

Takuto Omiya; Takahiro Ishida; Kazuhiro Hotta

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Paper

Image Labeling by Integrating Global Information by 7 Patches and Local Information

Topics: Object and Face Recognition; Segmentation and Grouping

In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, 536-541, 2015 , Berlin, Germany

Authors: Takuto Omiya ; Takahiro Ishida and Kazuhiro Hotta

Affiliation: Meijo University, Japan

Keyword(s): Bag of Visual Words, K-Nearest Neighbor, Image Labeling and Integration of Local and Global Features.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: We propose an image labeling method by integrating the probabilities of local and global information. Many conventional methods put label to each pixel or region by using the features extracted from local regions and local contextual relationships between neighboring regions. However, labeling results tend to depend on a local viewpoint. To overcome this problem, we propose the image labeling method using not only local information but also global information. The probability by global information is estimated by KNearest Neighbor. In the experiments using the MSRC21 dataset, labeling accuracy is much improved by using global information.

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Paper citation in several formats:

Omiya, T., Ishida, T. and Hotta, K. (2015). Image Labeling by Integrating Global Information by 7 Patches and Local Information. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 536-541. DOI: 10.5220/0005356005360541

@conference{visapp15,
author={Takuto Omiya and Takahiro Ishida and Kazuhiro Hotta},
title={Image Labeling by Integrating Global Information by 7 Patches and Local Information},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={536-541},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005356005360541},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - Image Labeling by Integrating Global Information by 7 Patches and Local Information
SN - 978-989-758-090-1
IS - 2184-4321
AU - Omiya, T.
AU - Ishida, T.
AU - Hotta, K.
PY - 2015
SP - 536
EP - 541
DO - 10.5220/0005356005360541
PB - SciTePress