%0 Journal Article %A GUO Yingchun %A ZHANG Meng %A HAO Xiaoke %T Review on Content-Aware Image Retargeting Methods %D 2022 %R 10.3778/j.issn.1002-8331.2109-0145 %J Computer Engineering and Applications %P 22-39 %V 58 %N 4 %X With the emergence of various smart devices, images often need to change the aspect ratio and sizes to adapt to different display screens. The content-aware image retargeting methods make the image automatically adapt to different display devices by researching how to keep image important content. This paper mainly summarizes the research status of content-based image retargeting methods in recent years. Firstly, the image retargeting methods based on handcrafted features are reviewed according to the acquisition of importance map and the retargeting method based on importance map. Secondly, the existing image retargeting methods based on deep learning are summarized from three categories:the image retargeting algorithm based on deep neural network, multi-operation algorithm based on deep reinforcement learning and cropping algorithm based on aesthetic perception. Thirdly, based on the introduction of the existing retargeting datasets and evaluation methods, the state-of-the-art image retargeting algorithms are analyzed and compared, and the implementation principles, advantages and disadvantages of each algorithm are summarized according to the categories. Finally, according to the existing problems and challenges at this stage, the future research direction in this field is put forward. This paper aims to provide interested researchers with meaningful help in order to promote the further development of this field. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2109-0145