Adaptive cropping with interframe relative displacement constraint for video retargeting

Abstract

Content-aware cropping makes it easy to preserve the temporal coherence and guarantee the quality of visual objects during retargeting since the retargeting window is often rigid and single. We propose an adaptive cropping method for video retargeting, which utilizes the relative displacement between frames as a constraint during determining the optimal retargeting window, helping to preserve the temporal coherence in the retargeted videos. Moreover, we design a feedback mechanism to detect the jumping frames and smooth their importance, which reduces the jitter of resized video effectively. Experiments show that the proposed method can achieve the retargeted results with the more desired quality compared with the existing relative video retargeting approaches.