IMPROVED SEAM CARVING FOR IMAGE RETARGETING WITH SIFT FEATURE PRESERVATION

被引：0

作者：

Li, Ke ^{[1
]}

Zeng, Qianxu ^{[1
]}

Bare, Bahetiyaer ^{[1
]}

Yan, Bo ^{[1
]}

Gharavi, Hamid ^{[2
]}

机构：

[1] Fudan Univ, Sch Comp Sci, Shanghai Key Lab Intelligent Informat Proc, Shanghai, Peoples R China

[2] NIST, Gaithersburg, MD 20899 USA

来源：

2015 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING | 2015年

关键词：

image resizing; seam carving; SIFT;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents an effective and simple image resizing method. Our method is an improved version of seam carving that changes the backtracking basis of seam carving. We use a Scale Invariant Feature Transform (SIFT) feature in our method. SIFT key points are mainly located on high -contrast regions of an image. By using saliency considering SIFT as our backtracking basis, a resized image can preserve the SIFT features of the original image. Therefore, the resized image can be more visually acceptable than the image resized by traditional seam carving.

引用

页码：672 / 676

页数：5

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