Deep stereoscopic image saliency inspired stereoscopic image thumbnail generation

In this paper, we propose a stereoscopic image thumbnail generation method guided by the stereoscopic image saliency. Specifically, we utilize an uncertain-weighted fusion mechanism to combine the spatial saliency information with the saliency driven by depth cues, generating the dense stereoscopic saliency fixation map. Subsequently, the obtained dense fixation map is converted into a salient object map through a saliency optimization module, which provides the object-level saliency cues for the thumbnail generation task. Under the guidance of the obtained salient object map, a cropping window is employed to cut out the most salient region and generate the stereoscopic thumbnails, such that the disparity distribution of the original image can be well preserved, and avoid sharply deforming certain structured objects in the subsequent warping operation. Finally, the warping operation is utilized to adjust the aspect ratio of the stereoscopic thumbnail to the target size. Qualitative and quantitative results demonstrate that our proposed method achieves superior performance than the state-of-the-art benchmarks on the public datasets.