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Authors: Huei-Yung Lin 1 ; Chin-Chen Chang 2 and Jhih-Yong Huang 1

Affiliations: 1 National Chung Cheng University, Taiwan ; 2 National United University, Taiwan

ISBN: 978-989-8565-47-1

Keyword(s): Image Resizing, Image Retargeting, Feature Map, Seam Carving, Ranging Camera.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Entertainment Imaging Applications ; Image and Video Analysis ; Visual Attention and Image Saliency

Abstract: This paper presents a novel image retargeting approach for ranging cameras. The proposed approach first extracts three feature maps: depth map, saliency map, and gradient map. Then, the depth map and the saliency map are used to separate the main contents and the background and thus compute a map of saliency objects. After that, the proposed approach constructs an importance map which combines the four feature maps by the weighted sum. Finally, the proposed approach constructs the target image using the seam carving method based on the importance map. Unlike previous approaches, the proposed approach preserves the salient object well and maintains the gradient and visual effects in the background. Moreover, it protects the salient object from being destroyed by the seam carving algorithm. The experimental results show that the proposed approach performs well in terms of the resized quality.

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Paper citation in several formats:
Lin, H.; Chang, C. and Huang, J. (2013). Combining Depth Information for Image Retargeting.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 172-179. DOI: 10.5220/0004232601720179

@conference{visapp13,
author={Huei{-}Yung Lin. and Chin{-}Chen Chang. and Jhih{-}Yong Huang.},
title={Combining Depth Information for Image Retargeting},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={172-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004232601720179},
isbn={978-989-8565-47-1},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Combining Depth Information for Image Retargeting
SN - 978-989-8565-47-1
AU - Lin, H.
AU - Chang, C.
AU - Huang, J.
PY - 2013
SP - 172
EP - 179
DO - 10.5220/0004232601720179

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