Image and video retargeting using adaptive scaling function

An image and video retargeting algorithm using an adaptive scaling function is proposed in this work. We first construct an importance map which uses multiple features: gradient, saliency, and motion difference. Then, we determine an adaptive scaling function, which represents a scaling factor of each column in the source image. Finally, the target image is constructed with a weighted average filter using those scaling factors. Moreover, we extend this algorithm to video sequence. Simulation results demonstrate that the proposed algorithm provides better results than conventional retargeting methods.