Method and system for capturing important objects using a camera based on predefined metrics
A method for capturing important objects with a camera may include the following steps: non-selectively capturing an incoming sequence of images using an image capturing device; analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more images; automatically deciding, in real time, on selectively capturing a new image wherein the selective capturing is carried out differently than the non-selective capturing, whenever the metrics of the objects meet specified criteria; and determining at least one object as an important object, wherein said determining associates the selected object with a level of importance and wherein said metrics are calculated only for the at least one important object.
1. A method for capturing one or more specific objects with a camera comprising:
capturing an incoming sequence of images using an image capturing device;
analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more nonconsecutive images;
assigning at least one object with a level of importance and wherein at least one of the metrics is calculated based on the importance level of the specific objects; and
automatically deciding, in real time, on selectively capturing at least one new image whenever the metrics of the specific objects meet specified criteria and wherein the selective capturing is carried out using a setting that is different than the setting used for capturing the incoming sequence of images,
wherein the importance level for at least one of the objects is calculated based on level of representation of this object in existing images.
2. A method for capturing one or more specific objects with a camera comprising:
capturing an incoming sequence of images using an image capturing device;
analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more nonconsecutive images;
assigning at least one object with a level of importance and wherein at least one of the metrics is calculated based on the importance level of the specific objects; and
automatically deciding, in real time, on selectively capturing at least one new image whenever the metrics of the specific objects meet specified criteria and wherein the selective capturing is carried out using a setting that is different than the setting used for capturing the incoming sequence of images,
wherein at least one of the metrics corresponds to interaction between at least two objects.
3. The method according to claim 2 , wherein the user preferences include at least one of: preferred type of scene, preferred important object positions, preferred camera settings, preferred object classes, and preferred specific objects.
4. A method for capturing one or more specific objects with a camera comprising:
capturing an incoming sequence of images using an image capturing device;
analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more nonconsecutive images;
assigning at least one object with a level of importance and wherein at least one of the metrics is calculated based on the importance level of the specific objects; and
automatically deciding, in real time, on selectively capturing at least one new image whenever the metrics of the specific objects meet specified criteria and wherein the selective capturing is carried out using a setting that is different than the setting used for capturing the incoming sequence of images,
wherein at least one of the metrics depends on at least one of: history of capturing actions of the user, and preferences of the user.
5. A method for capturing one or more specific objects with a camera comprising:
capturing an incoming sequence of images using an image capturing device;
analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more nonconsecutive images;
assigning at least one object with a level of importance and wherein at least one of the metrics is calculated based on the importance level of the specific objects; and
automatically deciding, in real time, on selectively capturing at least one new image whenever the metrics of the specific objects meet specified criteria and wherein the selective capturing is carried out using a setting that is different than the setting used for capturing the incoming sequence of images,
wherein one of the settings for selective capturing is taking a photo burst where at least one of the photos is with flash and at least one of the photos is without flash.
6. A method for capturing one or more specific objects with a camera comprising:
capturing an incoming sequence of images using an image capturing device;
analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more nonconsecutive images;
assigning at least one object with a level of importance and wherein at least one of the metrics is calculated based on the importance level of the specific objects; and
automatically deciding, in real time, on selectively capturing at least one new image whenever the metrics of the specific objects meet specified criteria and wherein the selective capturing is carried out using a setting that is different than the setting used for capturing the incoming sequence of images,
wherein at least one of the metrics corresponds to an external region data, and wherein the external region data includes at least one of: statistics of photos been taken by others, history of capturing decisions that relates to the captured object, relative position of the camera to adjacent cameras.
7. A method for capturing one or more specific objects with a camera comprising:
capturing an incoming sequence of images using an image capturing device;
analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more nonconsecutive images;
assigning at least one object with a level of importance and wherein at least one of the metrics is calculated based on the importance level of the specific objects; and
automatically deciding, in real time, on selectively capturing at least one new image whenever the metrics of the specific objects meet specified criteria and wherein the selective capturing is carried out using a setting that is different than the setting used for capturing the incoming sequence of images,
further comprising receiving information during capture from at least one additional camera and wherein at least one of the metrics corresponds to actions taken by at least one additional camera.
8. A method for capturing one or more specific objects with a camera comprising:
capturing an incoming sequence of images using an image capturing device;
analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more nonconsecutive images;
assigning at least one object with a level of importance and wherein at least one of the metrics is calculated based on the importance level of the specific objects; and
automatically deciding, in real time, on selectively capturing at least one new image whenever the metrics of the specific objects meet specified criteria and wherein the selective capturing is carried out using a setting that is different than the setting used for capturing the incoming sequence of images,
wherein the camera is a wearable camera and wherein at least one of the metrics is associated with at least one of: analysis of the body motion of the user; gaze analysis; head orientation; body pressure indicators; interaction with an augmented object.
9. A method for capturing one or more specific objects with a camera comprising:
capturing an incoming sequence of images using an image capturing device;
analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more nonconsecutive images;
assigning at least one object with a level of importance and wherein at least one of the metrics is calculated based on the importance level of the specific objects; and
automatically deciding, in real time, on selectively capturing at least one new image whenever the metrics of the specific objects meet specified criteria and wherein the selective capturing is carried out using a setting that is different than the setting used for capturing the incoming sequence of images,
wherein in parallel to capturing the incoming sequence of images, the face of the user is also captured, and wherein at least one of the metrics is associated with a facial analysis of the face of the user during capture.
10. A method for capturing one or more specific objects with a camera comprising:
capturing an incoming sequence of images using an image capturing device;
analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more nonconsecutive images;
assigning at least one object with a level of importance and wherein at least one of the metrics is calculated based on the importance level of the specific objects; and
automatically deciding, in real time, on selectively capturing at least one new image whenever the metrics of the specific objects meet specified criteria and wherein the selective capturing is carried out using a setting that is different than the setting used for capturing the incoming sequence of images,
wherein a criterion for importance is the amount of users capturing at least one object at a common event.