1 research outputs found
Novel Evaluation Metrics for Seam Carving based Image Retargeting
Image retargeting effectively resizes images by preserving the
recognizability of important image regions. Most of retargeting methods rely on
good importance maps as a cue to retain or remove certain regions in the input
image. In addition, the traditional evaluation exhaustively depends on user
ratings. There is a legitimate need for a methodological approach for
evaluating retargeted results. Therefore, in this paper, we conduct a study and
analysis on the prominent method in image retargeting, Seam Carving. First, we
introduce two novel evaluation metrics which can be considered as the proxy of
user ratings. Second, we exploit salient object dataset as a benchmark for this
task. We then investigate different types of importance maps for this
particular problem. The experiments show that humans in general agree with the
evaluation metrics on the retargeted results and some importance map methods
are consistently more favorable than others.Comment: 5 page