Multiple-cue saliency measurement and optimized image composition for image retargeting

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Abstract

We present a novel image retargeting approach for high-definition displaying based on multiple-cue salient region extraction and optimized image composition, which allows resizing an image into user-specified aspect ratios while preserving prominent visual salient image information. Firstly, we sum up six properties for measuring the salient objects and apply them to region extraction. Then, according to our optimized rules of image composition, we evaluate the aesthetic scores with different extracted sub-images. Finally, we sort out the target image with the highest aesthetic score and retarget it to fit the final scale of displaying. The experimental results show the performance and effectiveness of our approach.

Keywords

Image retargeting
Visual saliency
Image feature
Spline interpolation
Region extraction

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This work was supported by the NSFC–Guangdong Joint Fund (U0735001, U0835004, U0935004), the National Project of Scientific and Technical Supporting Programs (Grant No. 2007BAH13B04), and the National Key Basic Research and Development Program of China (973) (Grant No. 2011CB302204).