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Content-Aware Image Resizing Jack Breese Computer Systems Quarter 1, Pd. 7.

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Presentation on theme: "Content-Aware Image Resizing Jack Breese Computer Systems Quarter 1, Pd. 7."— Presentation transcript:

1 Content-Aware Image Resizing Jack Breese Computer Systems Quarter 1, Pd. 7

2 A Comparison of Image Resizing Retargeting Scaling Seam-Carving

3 Retargeting Smaller portion of the image is scaled up to a different size. Aspect ratio cannot be changed without losing data.

4 Scaling Image size is increased or decreased by removing or adding pixels. Aspect ratio cannot be changed without stretching image.

5 Seam-Carving Lowest energy seam is duplicated or removed Content-Aware  Changes aspect ratio without stretching important image data.

6 Video Demonstration http://youtube.com/watch?v=6NcIJXTlugc

7 Problems of Seam Carving Faces must be manually identified and tagged in images to avoid distortion.

8 Project Status Reads in image files Outputs individual columns or rows of pixels Finds seams of bright pixels (semi-working)‏ Edge detection

9 Future Goals Quarter 2  Implement actual image resizing  Write system for tagging faces  Begin work on simple face recognition Quarter 3  Continue implementation of face recognition Quarter 4  See Q3.


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