Systems and methods for content management of live or streaming broadcasts and video publishing systems

Abstract

Example implementations described herein are directed to systems, methods, and computer programs for the management of broadcasting image data for policy violations, which can include retrieving image data from memory for transmission to a device; processing the retrieved image data with a machine learning algorithm configured to detect a policy violation; for the processing indicative of the policy violation existing in the retrieved image data: modifying the retrieved image data; and transmitting the retrieved image data to the device.

1 . A device, comprising:
 one or more processors, configured to:
 retrieve image data from memory for transmission to another device; 
 process the retrieved image data with a machine learning algorithm configured to detect a policy violation; 
 for the process indicative of the policy violation existing in the retrieved image data:
 modify the retrieved image data; and 
 transmit the retrieved image data to the another device. 
 
   
     
     
         2 . The device of  claim 1 , wherein the processor is configured to modify the retrieved image data by:
 transmitting the retrieved image at a lower resolution; or   instructing the another device receiving the retrieved image data to display the retrieved image data at the lower resolution.   
     
     
         3 . The device of  claim 1 , wherein the policy violation comprises age inappropriate content, wherein the machine learning algorithm is trained from a database of age inappropriate content. 
     
     
         4 . The device of  claim 1 , wherein the policy violation comprises nudity, wherein the machine learning algorithm is trained from a database of nudity. 
     
     
         5 . The device of  claim 1 , wherein the policy violation comprises hate speech violation, wherein the machine learning algorithm is trained from a database of hate speech violations. 
     
     
         6 . The device of  claim 1 , wherein the machine learning algorithm is trained against a database of content flagged for one or more types of policy violations. 
     
     
         7 . The device of  claim 1 , wherein the processor is configured to modify the retrieved. image data by blurting the image data. 
     
     
         8 . The device of  claim 1 , wherein the processor is configured to process the retrieved image data with the machine learning algorithm configured to detect a policy violation by processing a chat log associated with the retrieved imaged with the one or more processors;
 wherein the processing is determined to be indicative of the policy violation existing in the retrieved image data and the chat log.   
     
     
         9 . A method, comprising:
 retrieving image data from memory for transmission to a device;   processing the retrieved image data with a machine learning algorithm configured to detect a policy violation;   for the processing indicative of the policy violation existing in the retrieved image data:
 modifying the retrieved image data; and 
 transmitting the retrieved image data to the device. 
   
     
     
         10 . The method of  claim 9 , wherein the modifying the retrieved image data by:
 transmitting the retrieved image at a lower resolution; or   instructing the another device receiving the retrieved image data to display the retrieved image data at the lower resolution.   
     
     
         11 . The method of  claim 9 , wherein the policy violation comprises age inappropriate content, wherein the machine learning algorithm is trained from a database of age inappropriate content. 
     
     
         12 . The method of  claim 9 , wherein the policy violation comprises nudity, wherein the machine learning algorithm is trained from a database of nudity. 
     
     
         13 . The method of  claim 9 , wherein the policy violation comprises hate speech violation, wherein the machine learning algorithm is trained from a database of hate speech violations. 
     
     
         14 . The method of  claim 9 , wherein the machine learning algorithm is trained against a database of content flagged for one or more types of policy violations. 
     
     
         15 . The method of  claim 9 , wherein the modifying the retrieved image data comprises blurring the retrieved image data. 
     
     
         16 . The method of  claim 9 , wherein the processing the retrieved image data with the machine learning algorithm configured to detect a policy violation comprises:
 processing a chat log associated with the retrieved imaged;   wherein the processing is determined to be indicative of the policy violation existing in the retrieved image data and the chat log.   
     
     
         17 . A non-transitory computer readable medium, storing instructions for executing a process, the instructions comprising:
 retrieving image data from memory for transmission to a device;   processing the retrieved image data with a machine learning algorithm configured to detect a policy violation;   for the processing indicative of the policy violation existing in the retrieved image data:
 modifying the retrieved image data; and 
 transmitting the retrieved image data to the device.