Indicating a correspondence between an image and an object
View Patent ↗Indicating an object is disclosed. Indicating an object includes receiving an indication associated with selecting an image and providing a second indication that a set of one or more objects correspond to the image, wherein the objects have been detected from the image. Indicating an image is disclosed. Indicating an image includes receiving an indication associated with selecting an object, wherein the object has been detected from an image and displaying the image such that a correspondence between the selected object and the image is conveyed.
1. A method comprising:
receiving a selection of an image of a plurality of images;
in response to the selection of the image, displaying one or more subimages, each of the subimages comprising a respective object detected in the selected image by a first detection process;
receiving a request to invoke a second detection process on the selected image;
performing, by a processor, the second detection process on the selected image to identify at least one previously-undetected subimage in the image; and
modifying the displayed one or more subimages to include the previously undetected subimage.
2. The method of claim 1 , wherein the second detection process has at least one performance parameter different from the first detection process.
3. The method of claim 1 , wherein the second detection process has at least one performance parameter different from the first detection process that provides for more accurate object detection performance by the second detection process relative to the first detection process.
4. The method of claim 1 , wherein the second detection process has at least one performance parameter different from the first detection process that provides for longer processing time by the second detection process relative to the first detection process.
5. The method of claim 1 , wherein receiving the selection of the image comprises receiving an indication that a mouse gesture is associated with the selected image.
6. The method of claim 1 , wherein the image includes video data.
7. The method of claim 1 , wherein the object detected in the image comprises a face.
8. A computer program product, the computer program product being embodied in a nontransitory computer readable medium and comprising computer instructions for:
receiving a selection of an image of a plurality of images;
responsive to receiving the selection, displaying one or more subimages, each of the subimages comprising a respective face detected in the selected image by a first detection process;
receiving a request to invoke a second detection process on the selected image to identify a previously undetected face; and
invoking the second detection process on the selected image.
9. The computer program product of claim 8 , wherein the second detection process is invoked with at least one performance parameter different from the first detection process.
10. The computer program product of claim 8 , wherein the second detection process is invoked with at least one performance parameter that results in longer processing time relative to the first detection process.
11. The computer program product of claim 8 , wherein the second detection process is invoked with at least one performance parameter that results in more accurate object detection performance relative to the first detection process.
12. The computer program product of claim 8 , wherein the image corresponds to video data.
13. A method comprising:
displaying a plurality of subimages, each one of the plurality of subimages comprising an object detected by a first detection process applied to a plurality of images;
simultaneously displaying the plurality of images;
receiving a selection of one of the plurality of subimages;
identifying, using a processor associated with a computing device, one or more of the plurality of images that includes the selected one of the plurality of subimages;
visually distinguishing the identified one or more of the plurality of images;
receiving a request to implement a second detection process on the identified one or more plurality of images; and
implementing the second detection process on the identified one or more plurality of images, the second detection process being implemented with at least one performance parameter different from the first detection process, the at least one performance parameter providing for more accurate object detection performance.
14. The method of claim 13 , wherein the at least one performance parameter provides for longer processing time by the second detection process relative to the first detection process.