Intelligent context-based image recommendations
Methods and systems are provided for an intelligent auto-fill process capable of smartly filling objects on a canvas using selected context-based images. Content related to the canvas is analyzed to determine context tags related to the canvas. The context tags are used to generate a media list comprised of one or more context-based image. The media list is used to automatically fill at least one object on the canvas such that a relevant part of the context-based image is visible. In this way, objects on a canvas can be automatically filled with images related to the context of the canvas.
1. A computer-implemented method comprising:
receiving an indication to auto-fill an object on a canvas, wherein the object has a predefined boundary utilized to fill the object with one or more images;
analyzing a background image of the canvas to determine a context of the canvas;
determining a set of ranked tags from the context of the canvas;
identifying, based on the set of ranked tags from the context of the canvas, an image to fill the object; and
filling the object with the image within the predefined boundary of the object.
2. The computer-implemented method of claim 1 , wherein the context of the canvas is further based on analyzing one or more of text associated with the canvas and a user-input word related to the canvas.
3. The computer-implemented method of claim 1 , the determining the context for the canvas further comprising:
retrieving a first set of tags related to a user-input word related to the canvas, wherein the first set of tags comprises a face tag, a place tag, or another tag.
4. The computer-implemented method of claim 3 , further comprising:
retrieving a second set of tags related to a background of the canvas, wherein the second set of tags comprises a background tag, or another face tag; and
identifying the set of ranked tags based on respective tag category weights associated with the first set of tags and the second set of tags.
5. The computer-implemented method of claim 1 , wherein receiving the indication to auto-fill the object on the canvas comprises receiving a set of text characters and a selection to auto-fill the text characters.
6. The computer-implemented method of claim 1 , wherein receiving the indication to auto-fill the object on the canvas comprises receiving a selection of a portion of the object within the predefined boundary.
7. The computer-implemented method of claim 1 , wherein the predefined boundary outlines the object on the canvas without user interaction to define the predefined boundary.
8. The computer-implemented method of claim 1 , wherein filling the object further comprises placing the image into the object such that a relevant area of the image is visible.
9. A non-transitory computer-readable storage medium including instructions which, when executed by a computer, cause the computer to perform operations comprising:
receiving an indication to auto-fill an object on a canvas;
based on a background image of the canvas and a user-input word related to the canvas, determining a set of ranked tags of a context for the canvas;
selecting, based on the set of ranked tags of the context, a plurality of images; and
filling the object using an image of the plurality of images.
10. The non-transitory computer-readable storage medium of claim 9 , further comprising:
retrieving a first set of tags related to the user-input word related to the canvas, wherein the first set of tags comprises a face tag, a place tag, or another tag; and
retrieving a second set of tags related to a background of the canvas, wherein the first set of tags comprises a background tag or another face tag.
11. The non-transitory computer-readable storage medium of claim 10 , further comprising:
identifying the set of ranked tags based on respective tag category weights associated with the first set of tags and the second set of tags.
12. The non-transitory computer-readable storage medium of claim 9 , wherein the context for the canvas comprises a predefined number of tags related to the canvas.
13. The non-transitory computer-readable storage medium of claim 9 , wherein filling the object further comprises:
placing the image into the object such that a relevant area of the image is visible.
14. The non-transitory computer-readable storage medium of claim 13 , wherein the relevant area is a face, the face being placed at a center of a bounding box associated with the object.
15. The non-transitory computer-readable storage medium of claim 13 , wherein the relevant area is a place, a tagged portion of the image related to the place being placed at a center of a bounding box associated with the object.
16. A non-transitory computer-readable storage medium including instructions which, when executed by a computer, cause the computer to perform operations comprising:
receiving an indication to auto-fill an object on a canvas, wherein the object has a predefined boundary utilized to fill the object with one or more images;
analyzing a background image of the canvas to determine a context of the canvas;
determining a set of ranked tags from the context of the canvas;
identifying, based on the set of ranked tags from the context of the canvas, an image to fill the object; and
filling the object with the image within the predefined boundary of the object.
17. The non-transitory computer-readable storage medium of claim 16 , further comprising:
placing the image into the object such that a relevant area of the image is visible.
18. The non-transitory computer-readable storage medium of claim 17 , wherein the relevant area comprises a face, the face being placed at a center of a bounding box associated with the object.
19. The non-transitory computer-readable storage medium of claim 17 , wherein the relevant area is not a face, the image being centered in a bounding box associated with the object.
20. The non-transitory computer-readable storage medium of claim 17 , wherein the context of the canvas comprises a background of the canvas or a user-input word related to the canvas.