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
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.