Image cropping according to points of interest
View Patent ↗In one embodiment, a computing device determines one or more points of interest in an image. The computing device selects a viewport position including a pre-determined number of the points of interest. The computing device crops the image based at least in part on the viewport position.
1. A method comprising:
by a first computing device, scaling an image based on dimensions of a viewport, wherein the image is to be displayed in the viewport;
by the first computing device, determining a plurality of points of interest in the image based on a tag, a label, or other metadata associated with the image;
by the first computing device, assigning a weight for each of the one or more points of interest in the image;
by the first computing device, calculating, for each viewport position of a pre-determined number of viewport positions, a sum of weights assigned to the points of interest that are within the viewport;
by the first computing device, selecting one of the viewport positions, wherein the selected viewport position is associated with the greatest one of the sums of weights; and
by the first computing device, cropping the image based at least in part on the selected viewport position.
2. The method of claim 1 , wherein the scaling the image comprises:
determining whether an aspect ratio of the image is greater than an aspect ratio of the viewport; and
scaling, in response to the determining, the image to a particular size such that a height of the image is equal to a height of the viewport.
3. The method of claim 1 , wherein the scaling the image comprises:
determining whether an aspect ratio of the image is less than an aspect ratio of the viewport; and
scaling, in response to the determination, the image to a particular size such that a width of the image is equal to a width of the viewport.
4. The method of claim 1 , wherein the tag, the label, or the other metadata is generated based on input from users.
5. The method of claim 1 , wherein the tag, the label, or the other metadata is automatically generated by a second computing device when the image is stored.
6. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:
scale an image based on dimensions of a viewport, wherein the image is to be displayed in the viewport;
determine a plurality of points of interest in the image based on a tag, a label, or other metadata associated with the image;
assign a weight for each of the one or more points of interest in the image;
calculate, for each viewport position of a pre-determined number of viewport positions, a sum of weights assigned to the points of interest that are within the viewport;
select one of the viewport positions, wherein the selected viewport position is associated with the greatest one of the sums of weights; and
crop the image based at least in part on the selected viewport position.
7. The media of claim 6 , wherein the scaling the image comprises:
determining whether an aspect ratio of the image is greater than an aspect ratio of the viewport; and
scaling, in response to the determining, the image to a particular size such that a height of the image is equal to a height of the viewport.
8. The media of claim 3 , wherein the scaling the image comprises:
determining whether an aspect ratio of the image is less than an aspect ratio of the viewport; and
scaling, in response to the determination, the image to a particular size such that a width of the image is equal to a width of the viewport.
9. The media of claim 3 , wherein the tag, the label, or the other metadata is generated based on input from users.
10. The media of claim 3 , wherein the tag, the label, or the other metadata is automatically generated by a second computing device when the image is stored.
11. A system comprising:
one or more processors; and
a memory coupled to the one or more processors comprising instructions executable by the processors, the processors operable when executing the instructions to:
scale an image based on dimensions of a viewport, wherein the image is to be displayed in the viewport;
determine a plurality of points of interest in the image based on a tag, a label, or other metadata associated with the image;
assign a weight for each of the one or more points of interest in the image;
calculate, for each viewport position of a pre-determined number of viewport positions, a sum of weights assigned to the points of interest that are within the viewport;
select one of the viewport positions, wherein the selected viewport position is associated with the greatest one of the sums of weights; and
crop the image based at least in part on the selected viewport position.
12. The system of claim 11 , wherein the scaling the image comprises:
determining whether an aspect ratio of the image is greater than an aspect ratio of the viewport; and
scaling, in response to the determining, the image to a particular size such that a height of the image is equal to a height of the viewport.
13. The system of claim 11 , wherein the scaling the image comprises:
determining whether an aspect ratio of the image is less than an aspect ratio of the viewport; and
scaling, in response to the determination, the image to a particular size such that a width of the image is equal to a width of the viewport.
14. The system of claim 11 , wherein the tag, the label, or the other metadata is generated based on input from users.
15. The system of claim 11 , wherein the tag, the label, or the other metadata is automatically generated by a second computing device when the image is stored.