Automatic Real-Time Photo Distribution for Mobile Devices
Publication Date: 2016-Feb-29
The IP.com Prior Art Database
This paper discusses a Method of distributing the photos in real-time. By broadcasting photo request based on individual face data, photographers can instatntly distribute the group pictures to individual requestor right after the shot without involving any manually steps
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During a group activity likes outing, birthday celebration, everyone might use their own mobile devices/digit camera to take many photos. It is always problematic to distribute those photo after the activity, if we want to distribute the photo only to those people in the photo. So the only way is to select the photos one by one and send to the corresponding person, or upload all the photo to file server/social network, then lets those people to select their own photos.
The core idea is to distribute the photo to the all the people in the photo right after that shot. Where all the people in the activity with the device will broadcast a "photo request" message along with the face data. Those device that took the photo will receive the "photo request" message, and then filter the request by using facial recognition with those face data against the photo. Finally, the device can send the photo to the one that had a matched face data through WIFI or other mobile device ad hoc network.
The photo distribution is done in real-time, people can receive the photo right after the shot
Does not need to select the photo one by one.
Does not required internet access.
The "photo request" broadcast is using the face data, so it doesn't rely on any pre-exisitng ID.
The host does not need to keep face data or existing face data
Photographers and photo requesters open the same application to take photos and request photos. So, whoever in the group can take photos, whoever in the group can get photos from others
The photo matching is done by facial recognition algorithms, that identify facial features by extracting landmarks, or features, from an image of the subject's face.
The face data could be the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw, or skin texture.
--Time Photo Distribution for Mobile Devices Time Photo Distribution for Mobile Devices
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