Semantic aware sport image resizing jointly using seam carving and warping

In content aware image resizing, saliency map or gradient is usually used to determine the important regions of images. But for sport images such as basketball and football images, these methods may falsely classify parts of court fields as unimportant regions, while parts of grandstands as important regions. Such results are not consistent with human perception. In this paper, a semantic aware image resizing approach is proposed. We extract the semantic information automatically. We segment the court fields as important regions and detect the boundary of court fields as the semantic edges. Considering the complementary characteristic of discrete image resizing approaches such as seam carving and continuous approaches such as warping, seam carving and warping are jointly used in our scheme.