Genetic Seam Carving: A Genetic Algorithm Approach for Content-Aware Image Retargeting

被引：1

作者：

Oliveira, Saulo A. F. ^{[1
]}

Bezerra, Francisco N. ^{[1
]}

Rocha Neto, Ajalmar R. ^{[1
]}

机构：

[1] IFCE, Fed Inst Ceara, Fortaleza, Ceara, Brazil

来源：

PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2015) | 2015年 / 9117卷

关键词：

Genetic Algorithms; Content-aware retargeting; Seam Carving; SSIM; SIFT;

D O I：

10.1007/978-3-319-19390-8_78

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Seam Carving is a method to retarget images by removal of pixels paths with minimal visual impact. The method acts by exhaustive searching of minimal cost paths according to a pixel relevance function. In the present paper, we explore optimal or suboptimal paths obtained by a new Genetic Algorithm method called Genetic Seam Carving. Besides the suboptimal character of this approach, we show in the experiments that, we achieve quality results similar to the original Seam Carving method, and in some cases we even obtain less degradation.

引用

页码：700 / 707

页数：8

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