A novel Genetic Algorithms and SURF-Based approach for image retargeting
作者：
Highlights：
• We propose a Genetic Algorithm approach for image retargeting.
• We present new algorithm genetic operators for reproduction and mutation.
• We present a novel index for quality assessment.
• Our model uses feature extraction to guide its behavior for feature preservation.
• We apply vector quantization algorithms to improve our quality assessment proposal.
摘要
•We propose a Genetic Algorithm approach for image retargeting.•We present new algorithm genetic operators for reproduction and mutation.•We present a novel index for quality assessment.•Our model uses feature extraction to guide its behavior for feature preservation.•We apply vector quantization algorithms to improve our quality assessment proposal.
论文关键词：Genetic Algorithms,Image retargeting,Genetic Seam Carving,Feature extraction,Feature preservation,Quality assessment
论文评审过程：Received 22 April 2015, Revised 22 August 2015, Accepted 14 September 2015, Available online 25 September 2015, Version of Record 10 November 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.09.015
