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Color Harmonization Videos
- 1. Color Harmonization for Videos Nikhil Sawant and Niloy J. Mitra Dept. of CSE, Indian Institute of Technology, Delhi
- 2. Color Harmonization ? Color Harmonization for Videos Nilkhil Sawant and Niloy J. Mitra
- 5. Images [Cohen-Or et al., Color Harmonization, SIGGRAPH, 2006] Color Harmonization for Videos Nilkhil Sawant and Niloy J. Mitra
- 8. Result Color Harmonization for Videos Nilkhil Sawant and Niloy J. Mitra Template X
- 9. Result Color Harmonization for Videos Nilkhil Sawant and Niloy J. Mitra Template V
- 12. Segmentation problem Color Harmonization for Videos Nilkhil Sawant and Niloy J. Mitra
- 14. Videos Color Harmonization for Videos Nilkhil Sawant and Niloy J. Mitra
- 17. Grouping Color Harmonization for Videos Nilkhil Sawant and Niloy J. Mitra
- 19. Overlapping Color Harmonization for Videos Nilkhil Sawant and Niloy J. Mitra
- 24. Results Nilkhil Sawant and Niloy J. Mitra Color Harmonization for Videos Original Video Harmonized Video
- 26. Two parameter variation Template X Color Harmonization for Videos Nilkhil Sawant and Niloy J. Mitra
- 29. Thank you Original Video Harmonized Video Results Nilkhil Sawant and Niloy J. Mitra Color Harmonization for Videos
- 30. Thank you Color Harmonization for Videos Nilkhil Sawant and Niloy J. Mitra
Notas do Editor
- Not all colors match with every other color Such image can be chaotic or boring Our notion of colors very much depends on place, time, context and many other factors Lack of color harmony may leave disturbing impact on the observer Hence here our ultimate goal is to improve the visual harmony of the image.
- Why do we need color harmonization for videos? As we all know videos are nothing but set of images, So the problem is compounded as we can have Rapidly changing scenes Indoor and outdoor scenes Changing illumination Back to back un harmonized scenes So our goal is to generate a visually enhance video which will create a pleasant feel on the observer.
- We start with images Our approach We make use of template to harmonize images. If entire hue of an image is residing with the shaded area of a particular template then we say that the image is harmonized under that particular template (explain the templates)
- (explain potential function) (theta ot) (theta oH) (color adjustment)
- Segmentation problem This is caused due to splitting of region with different shades of a color into regions with extreme colors after color adjustment As shown in the image.
- Our solution simple and faster. We consider the hue histogram of the given image. The segmentation is possibly bcoz of point of splitting is passing through _________________ We would like this splitting point to be present point on the histogram which is relatively empty. Our algorithm chooses such a point.. Our algorithm is slightly less accurate but faster than graph cut base algorithms previously used
- we extend the method for color harmonization to videos. Videos are nothing but set of frames We harmonize each frames individually irrespective of other frames
- We observed flickering artifacts when the frames are stitched back. This is mainly due to change in theta and t at subsequent frames. Due to this change colors are shifted indefinitely it creates a disturbing effect on the observer. Even though all the frames are harmonized individually they don’t create pleasant effect Hence we need to correlate the neighboring frames so that flickering artifacts are removed, Which is achieved by
- grouping
- We take the mean of the hue histogram of the frames falling the same group This mean is further used to calculate the theta This newly calculated theta is used for harmonizing the images under that particular group. Hence within image we hardly see any flickering In this we slightly compromise upon the harmonization of individual frame but over effect of the given frame is pleasant But still we observe flickering at the end and beginning of the group..