Composing Semantic Collage for Image Retargeting
| Autor: | Xinyu Ou, Zhen Wei, Si Liu, Bin Liu, Yao Sun, Ming-Hsuan Yang, Junyu Lin |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Pixel
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 010501 environmental sciences Object (computer science) 01 natural sciences Computer Graphics and Computer-Aided Design Image (mathematics) Visualization Data set Text mining Seam carving 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Image resolution Software 0105 earth and related environmental sciences |
| Zdroj: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. |
| ISSN: | 1941-0042 |
| Popis: | Image retargeting has been applied to display images of any size via devices with various resolutions (e.g., cell phone and TV monitors). To fit an image with the target resolution, certain unimportant regions need to be deleted or distorted, and the key problem is to determine the importance of each pixel. Existing methods predict pixel-wise importance in a bottom-up manner via eye fixation estimation or saliency detection. In contrast, the proposed algorithm estimates the pixel-wise importance based on a top-down criterion where the target image maintains the semantic meaning of the original image. To this end, several semantic components corresponding to foreground objects, action contexts, and background regions are extracted. The semantic component maps are integrated by a classification guided fusion network. Specifically, the deep network classifies the original image as object or scene oriented, and fuses the semantic component maps according to classification results. The network output, referred to as the semantic collage with the same size as the original image, is then fed into any existing optimization method to generate the target image. Extensive experiments are carried out on the RetargetMe data set and S-Retarget database developed in this paper. Experimental results demonstrate the merits of the proposed algorithm over the state-of-the-art image retargeting methods. |
| Databáze: | OpenAIRE |
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