Automatic Photo Capture Based on Social Components and Identity Recognition

Abstract

In one embodiment, a mobile device automatically captures image frames by acquiring a real-time video sequence, selecting one or more frames from the real-time video sequence based on social network information and identity recognition, and storing the selected one or more frames in a local storage of the mobile device.

What is claimed is: 
     
         1 . A method comprising:
 by a computing device, accessing a sequence of video frames;   by a computing device, analyzing one or more of the video frames in the sequence to identify one or more social-network objects;   by a computing device, computing a score for each of the analyzed video frames, wherein the score is based at least on the one or more identified social-network objects; and   by a computing device, presenting one or more analyzed video frames to a first user based on the scores of the video frames.   
     
     
         2 . The method of  claim 1 , wherein the presenting the one or more analyzed video frames to a the first user, further comprises:
 in response to the first user's indication for selecting one or more of the analyzed video frames, storing at least one of the one or more selected frames in a persistent storage.   
     
     
         3 . The method of  claim 2 , wherein the presenting the selected one or more frames to the first user, further comprises:
 presenting to the first user in a graphical user interface, the graphical user interface comprising a scrollable media wheel of one or more thumbnails corresponding to the selected one or more frames.   
     
     
         4 . The method of  claim 1 , wherein the computing the score for each of the analyzed video frames based at least on the one or more identified social-network objects, further comprises:
 for each frame of the sequence of video frames, assigning the score based on a number of social-network objects identified in the each frame.   
     
     
         5 . The method of  claim 1 , wherein the computing the score for each of the analyzed video frames based at least on the one or more identified social-network objects, further comprises:
 for each frame of the sequence of video frames, assigning the score based on an affinity associated with each of the one or more identified social-network objects.   
     
     
         6 . The method of  claim 1 , wherein the computing the score for each of the analyzed video frames based at least on the one or more identified social-network objects, further comprises:
 determining a value of each of the one or more identified social-network objects.   
     
     
         7 . The method of  claim 6 , wherein the value of each of the one or more identified social-network objects is based on a popularity coefficient. 
     
     
         8 . The method of  claim 6 , wherein the determining the value further comprises:
 determining the identified social-network object corresponds to the first user; and   assigning a large value to the identified social-network object.   
     
     
         9 . The method of  claim 6 , wherein the determining the value further comprises:
 determining the identified social-network object corresponds to a social contact of the first user; and   assigning a medium value to the identified social-network object.   
     
     
         10 . The method of  claim 6 , wherein the determining the value further comprises:
 determining the identified social-network object corresponds to a user of the social-networking system who is not a social contact of the first user; and   assigning a lower value to the identified social-network object.   
     
     
         11 . A system comprising:
 a memory;   one or more processors; and   a non-transitory storage medium storing computer-readable instructions operative, when executed, to cause the one or more processors to:
 access a sequence of video frames; 
 analyze one or more of the video frames in the sequence to identify one or more social-network objects; 
 compute a score for each of the analyzed video frames, wherein the score is based at least on the one or more identified social-network objects; and 
 present one or more analyzed video frames to a first user based on the scores of the video frames. 
   
     
     
         12 . The system of  claim 11 , wherein the presenting the one or more analyzed video frames to a the first user, further comprises:
 in response to the first user's indication for selecting one or more of the analyzed video frames, storing at least one of the one or more selected frames in a persistent storage.   
     
     
         13 . The system of  claim 12 , wherein to presenting the selected one or more frames to the first user, further comprises:
 present to the first user in a graphical user interface, the graphical user interface comprising a scrollable media wheel of one or more thumbnails corresponding to the selected one or more frames.   
     
     
         14 . The system of  claim 11 , wherein the computing the score for each of the analyzed video frames based at least on the one or more identified social-network objects, further comprises:
 for each frame of the sequence of video frames, assigning the score based on an affinity associated with each of the one or more identified social-network objects.   
     
     
         15 . The system of  claim 11 , wherein the computing the score for each of the analyzed video frames based at least on the one or more identified social-network objects, further comprises:
 for each frame of the sequence of video frames, assigning the score based on a number of social-network objects identified in the each frame.   
     
     
         16 . One or more computer-readable tangible storage media embodying software operable when executed by one or more computing devices to:
 access a sequence of video frames;   analyze one or more of the video frames in the sequence to identify one or more social-network objects;   compute a score for each of the analyzed video frames, wherein the score is based at least on the one or more identified social-network objects; and
 present one or more analyzed video frames to a first user based on the scores of the video frames. 
   
     
     
         17 . The media of  claim 16 , wherein the presenting the one or more analyzed video frames to a the first user, further comprises:
 in response to the first user's indication for selecting one or more of the analyzed video frames, storing at least one of the one or more selected frames in a persistent storage.   
     
     
         18 . The media of  claim 17 , wherein to presenting the selected one or more frames to the first user, further comprises:
 present to the first user in a graphical user interface, the graphical user interface comprising a scrollable media wheel of one or more thumbnails corresponding to the selected one or more frames.   
     
     
         19 . The media of  claim 16 , wherein the computing the score for each of the analyzed video frames based at least on the one or more identified social-network objects, further comprises:
 for each frame of the sequence of video frames, assigning the score based on an affinity associated with each of the one or more identified social-network objects.   
     
     
         20 . The media of  claim 16 , wherein the computing the score for each of the analyzed video frames based at least on the one or more identified social-network objects, further comprises:
 for each frame of the sequence of video frames, assigning the score based on a number of social-network objects identified in the each frame.