원문정보
초록
영어
Measurement of image similarity is a fundamental issue in both image processing and computer vision and is very important for image retargeting applications, which have drawn much attention in recent years. In this paper, we propose a new similarity measure with deformation detection of visual salient regions for image retargeting. According to the fact that the human visual system is sensitive to content changes as well as visual effect variations, the proposed approach combines content similarity and visual effect similarity. Firstly, a content correspondence between original and retargeted images is established, which aims to assess their content similarity. Secondly, deformation detection of visual salient regions between two images is conducted to measure their visual effect similarity. Real images have been used to test the proposed method and very good results have been achieved, validating it.
목차
1. Introduction
2. Framework of the Proposed Similarity Measure
3. Measure of Content Similarity
3.1. Find Seams
3.2. Divide Image into Regions
3.3. Match Regions
3.4. Calculate Content Similarity
4. Measure of Visual Effect Similarity
4.1. Deformation Detection of Visual Salient Regions
4.2. Assess Visual Effect Similarity
5. Similarity Measure for Image Retargeting
6. Experiments and Results
7. Conclusion
Acknowledgements
References