期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：3
页码：281-290
DOI：10.14257/ijsip.2016.9.3.25
出版社：SERSC
摘要：Image retargeting aims to change the resolution and aspect ratio of an image to fit it into different devices. The key and most challenging issue for this task is how to balance the tradeoff between preserving the important contents and minimizing the visual distortions. In this paper, we present an effective image retargeting method called concepts-based mesh parameterization. Specifically, we first construct a structure- preserved mesh image. Based on this mesh representation, the image retargeting problem is formulated into a constrained image mesh parameterization problem, finding a homomorphous target mesh with the desired device size. To emphasize different concepts and minimize visual distortion, different concepts are first detected from the image, and are associated into the image mesh. Then the problem is transformed into solving a linear equations system. The target image is rendered by texture mapping. Experiments demonstrates the effectiveness of our concept-based algorithm.
