Automated content curation and communication
First Claim
1. A method comprising:
- receiving, at a server system, a plurality of content, communications from a plurality of client devices, each content communication comprising an associated piece of content and a corresponding metadata;
processing, by the server system, each content communication of the plurality of content communications to determine associated context values for each piece of content, each associated context value comprising at least one content value generated by machine vision processing of the associated piece of content;
automatically generating at least a first content collection, wherein the first content collection comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first content are selected based on the associated context values for each piece of content of the first plurality of pieces of content; and
identifying one or more user segments associated with the first content collection; and
publishing an identifier associated with the first content collection to user devices associated with user accounts of the one or more user segments;
wherein the associated context values comprise an audio content value selected based on an analysis of audio data from the content message and an audio quality value determined based at least in part on an analysis to determine an audio noise level; and
wherein the audio content value is further based on a speech activity detection analysis of the content message.
2 Assignments
0 Petitions
Accused Products
Abstract
Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system receives a plurality of content communications from a plurality of client devices, each content communication comprising an associated piece of content and a corresponding metadata. Each content communication is processed to determine associated context values for each piece of content, each associated context value comprising at least one content value generated by machine vision processing of the associated piece of content. A first content collection is automatically generated based on context values, and a set of user accounts are associated with the collection. An identifier associated with the first content collection is published to user devices associated with user accounts. In various additional embodiments, different content values, image processing operations, and content selection operations are used to curate content collections.
625 Citations
20 Claims
-
1. A method comprising:
-
receiving, at a server system, a plurality of content, communications from a plurality of client devices, each content communication comprising an associated piece of content and a corresponding metadata; processing, by the server system, each content communication of the plurality of content communications to determine associated context values for each piece of content, each associated context value comprising at least one content value generated by machine vision processing of the associated piece of content; automatically generating at least a first content collection, wherein the first content collection comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first content are selected based on the associated context values for each piece of content of the first plurality of pieces of content; and identifying one or more user segments associated with the first content collection; and publishing an identifier associated with the first content collection to user devices associated with user accounts of the one or more user segments; wherein the associated context values comprise an audio content value selected based on an analysis of audio data from the content message and an audio quality value determined based at least in part on an analysis to determine an audio noise level; and wherein the audio content value is further based on a speech activity detection analysis of the content message. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
-
-
15. A server computer system comprising:
-
a memory; and one or more processors coupled to the memory and configured to; receive a plurality of content communications from a plurality of client devices, each content communication comprising an associated piece of content and a corresponding metadata; process each content communication of the plurality of content communications to determine associated context values for each piece of content, each associated context value comprising at least one content value generated by machine vision processing of the associated piece of content; automatically generate at least a first content collection, wherein the first content collection comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first content are selected based on the associated context values for each piece of content of the first plurality of pieces of content; and identify one or more user segments associated with the first content collection; and transmit an identifier associated with the first content collection to user devices associated with user accounts of the one or more user segments; wherein the associated context values comprise an audio content value selected based on an analysis of audio data from the content message and an audio quality value determined based at least in part on an analysis to determine an audio noise level; and wherein the audio content value is further based on a speech activity detection analysis of the content message. - View Dependent Claims (16, 17)
-
-
18. A non-transitory computer readable medium comprising instructions that, when executed by one or more processors, cause a server computer system to perform operations comprising:
-
receiving a plurality of content communications from a plurality of client devices, each content communication comprising an associated piece of content and a corresponding metadata; processing each content communication of the plurality of content communications to determine associated context values for each piece of content, each associated context value comprising at least one content value generated by machine vision processing of the associated piece of content; automatically generating at least a first content collection, wherein the first content collection comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first content are selected based on the associated context values for each piece of content of the first plurality of pieces of content; and identifying one or more user segments associated with the first content collection; and publishing an identifier associated with the first content collection to user devices associated with user accounts of the one or more user segments; wherein the associated context values comprise an audio content value selected based on an analysis of audio data from the content message and an audio quality value determined based at least in part on an analysis to determine an audio noise level; and wherein the audio content value is further based on a speech activity detection analysis of the content message. - View Dependent Claims (19, 20)
-
Specification