MULTI-LAYERED IMAGE RETARGETING

被引：0

作者：

Sugimoto, Shiori ^{[1
]}

Shimizu, Shinya ^{[1
]}

Kimata, Hideaki ^{[1
]}

Kojima, Akira ^{[1
]}

机构：

[1] NTT Corp, NTT Cyber Space Labs, Yokosuka, Kanagawa, Japan

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年

关键词：

Image processing; Image retargeting; Seam carving;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

Pixel domain methods for content-aware image retargeting have a performance limitation in that they distort important objects when an image is shrunken too much. To address this problem, we have designed and developed a novel 3D space domain image retargeting which rearranges objects with occlusions and deforms objects. With this method image formation is modeled as a quasi-3D space. The method also reduces image width by shrinking a part of the image space. Instead of directly optimizing the position and shape of objects, it closes objects by shrinking the gap space between them and deforms objects by shrinking spaces that include parts of them. It is capable of being extended to higher dimension problems such as multi-view image retargeting because it needs to optimize only one quasi-3D space whether the input is ordinary images or more complex ones such as video and stereo images. We have also designed a simple algorithm that makes use of dynamic programming. An experiment we conducted demonstrated the algorithm's effectiveness.

引用

页码：3001 / 3004

页数：4