Highlighting Media Through Weighting of People or Contexts

Abstract

Techniques and apparatuses for highlighting media through weighting of people or contexts are described. This document describes techniques that allow a user to quickly and easily highlight media, such as through generating a highlight reel. The techniques also enable selection of context and person weightings by which to tailor highlight reels.

What is claimed is: 
     
         1 . A method performed by a first computing device comprising:
 obtaining, by the first computing device, a first source media;   receiving, by the first computing device, a second source media from or associated with a second computing device;   determining, by the first computing device, an association between the first source media and the second source media, the determining based, at least in part, on:
 recognition of a face within both the first source media and the second source media; 
 a tagging of the first source media and the second source media, the tagging indicating a face being present in both the first source media and the second source media; or 
 identification of a context of or within both the first source media and the second source media, the context indicating a shared scene, time, or event; 
   creating, by the first computing device in response to determining the association between the first source media and the second source media, a highlight reel, the highlight reel including media from the first source media and media from the second source media; and   transmitting, by the first computing device, the highlight reel.   
     
     
         2 . The method as recited in  claim 1 , wherein identification of a context of or within both the first source media and the second source media further comprises selecting media associated with a shared calendar event, the association comprising identifying mutual time, location, and event related data between the shared calendar event and the first source media and the second source media. 
     
     
         3 . The method as recited in  claim 1 , wherein identification of a context of or within both the first source media and the second source media involves selecting media including a scene having a context of a particular season. 
     
     
         4 . The method as recited in  claim 1 , wherein identification of a context of or within the first source media and the second source media involves analyzing metadata of each of the first and second source media. 
     
     
         5 . The method as recited in  claim 4 , wherein analyzing the metadata of the first source media and the second source media involves identifying a specific day or month of one or more years in which the first and second source media, respectively, was captured. 
     
     
         6 . The method as recited in  claim 4 , wherein analyzing the metadata of the first source media and the second source media involves identifying a particular year in which the first and second source media, respectively, was captured. 
     
     
         7 . The method as recited in  claim 1 , wherein identification of a context of or within the first source media and the second source media is based on the location at which the first and second source media, respectively, was captured. 
     
     
         8 . The method as recited in  claim 1 , wherein the first source media and the second source media of the first computing device and the second computing device, respectively, comprise images, videos, and audio. 
     
     
         9 . The method as recited in  claim 1 , further comprising displaying the highlight reel on the first computing device. 
     
     
         10 . The method as recited in  claim 1 , wherein transmitting the highlight reel transmits the highlight reel to the second computing device. 
     
     
         11 . The method as recited in  claim 1 , wherein the first computing device is a mobile computing device and the second computing device is an external storage device. 
     
     
         12 . A non-transitory computer-readable storage media having instructions stored thereon that, responsive to execution by one or more computer processors of a first computing device, perform operations that direct the first computing device to:
 obtain, by the first computing device, a first source media;   receive, by the first computing device, a second source media from or associated with a second computing device;   determine, by the first computing device, an association between the source media and the second source media, the determining based, at least in part, on:
 recognition of respective faces within the first source media and recognition of faces within the second source media; 
 a tag of the first source media or the second source media, the tag indicating a face being present in the first source media or a face being present in the second source media; or 
 identification of an associated context, including a shared event, between the first source media and the second source media; 
   create, by the first computing device in response to determining the association between the first source media and the second source media, a highlight reel, the highlight reel including one or more media from the first source media and the second source media; and   transmit, by the first computing device, the highlight reel.   
     
     
         13 . The non-transitory computer-readable storage media of  claim 12 , wherein identification of a context of or within both the first source media and the second source media further comprises selecting source media associated with a shared calendar event, the association comprising identifying mutual time, location, and event related data between the shared calendar event and the first source media and the second source media. 
     
     
         14 . The non-transitory computer-readable storage media of  claim 12 , wherein identification of a context of or within both the first media and the second source media involves selecting source media including a scene having a context of a particular season. 
     
     
         15 . The non-transitory computer-readable storage media of  claim 12 , wherein identification of a context of or within the first source media and the second source media involves analysis of metadata of each of the first source media and the second source media. 
     
     
         16 . The non-transitory computer-readable storage media of  claim 15 , wherein the analysis of the metadata of the first source media and the second source media involves identifying a specific day or month of one or more years in which the first and second source media, respectively, was captured. 
     
     
         17 . The non-transitory computer-readable storage media of  claim 15 , wherein analysis of the metadata of the first source media and the second source media involves identifying a particular year in which the first and second source media, respectively, was captured. 
     
     
         18 . The non-transitory computer-readable storage media of  claim 12 , wherein identification of a context of or within the first source media and the second source media is based on the location at which the first and second source media, respectively, was captured. 
     
     
         19 . The non-transitory computer-readable storage media of  claim 12 , the operations further comprising presentation of the highlight reel on the first computing device. 
     
     
         20 . The non-transitory computer-readable storage media of  claim 12 , wherein the operation to transmit the highlight reel transmits the highlight reel to the second computing device.