Selective usage of inference models based on visual content

Abstract

Systems, methods and non-transitory computer readable media for image processing are provided. Images may be obtained, for example by capturing the images using an image sensor. The images may be analyzed to identify scene information. An inference model may be obtained based on the scene information. The scene information may be used to determine parameters for modifying the obtained inference model. Additional images may be obtained, for example using the image sensor. The additional images may be analyzed using the inference model.

What is claimed is: 
     
         1 . A system for image processing, the system comprising:
 at least one processing unit configured to:
 obtain a first group of one or more images captured using at least one image sensor from an environment; 
 analyze the first group of one or more images to obtain scene information; 
 based on the scene information, obtain at least one inference model; 
 use the scene information to determine parameters for modifying the obtained at least one inference model; 
 obtain a second group of one or more images captured using the at least one image sensor from the environment; and 
 process the second group of one or more images using the at least one inference model. 
   
     
     
         2 . The system of  claim 1 , wherein the system includes the at least one image sensor. 
     
     
         3 . The system of  claim 1 , wherein the second group of one or more images is captured after the scene information is obtained. 
     
     
         4 . The system of  claim 1 , wherein obtaining the at least one inference model comprises selecting the at least one inference model of a plurality of alternative inference models based on the scene information. 
     
     
         5 . The system of  claim 1 , wherein obtaining the at least one inference model comprises:
 transmitting to an external apparatus the scene information; and   receiving at least part of the at least one inference model, where the received at least part of the at least one inference model is based on the transmitted scene information.   
     
     
         6 . The system of  claim 1 , wherein obtaining the at least one inference model comprises:
 obtaining training examples based on the scene information; and   generating at least part of the at least one inference model using the training examples.   
     
     
         7 . The system of  claim 1 , wherein the scene information comprises at least an indication of a swimming pool, and wherein processing the second group of one or more images using the at least one inference model is configured to detect drowning events. 
     
     
         8 . The system of  claim 1 , wherein the scene information comprises at least an indication of a piece of equipment, and wherein processing the second group of one or more images using the at least one inference model is configured to detect safety related events associated with the piece of equipment. 
     
     
         9 . The system of  claim 1 , wherein the scene information comprises at least an indication of at least one of a pet and a child. 
     
     
         10 . The system of  claim 1 , wherein the scene information comprises at least one of a property of an object appearing in the first group of one or more images and a property of a person appearing in the first group of one or more images. 
     
     
         11 . A non-transitory computer readable medium storing data and computer implementable instructions for carrying out a method, the method comprising:
 obtaining a first group of one or more images captured using at least one image sensor from an environment;   analyzing the first group of one or more images to obtain scene information;   based on the scene information, obtaining at least one inference model;   using the scene information to determine parameters for modifying the obtained at least one inference model;   obtaining a second group of one or more images captured using the at least one image sensor from the environment; and   processing the second group of one or   more images using the at least one inference model.   
     
     
         12 . The non-transitory computer readable medium of  claim 11 , wherein the second group of one or more images is captured after the scene information is obtained. 
     
     
         13 . The non-transitory computer readable medium of  claim 11 , wherein obtaining the at least one inference model comprises selecting the at least one inference model of a plurality of alternative inference models based on the scene information. 
     
     
         14 . The non-transitory computer readable medium of  claim 11 , wherein obtaining the at least one inference model comprises:
 transmitting to an external apparatus the scene information; and   receiving at least part of the at least one inference model, where the received at least part of the at least one inference model is based on the transmitted scene information.   
     
     
         15 . The non-transitory computer readable medium of  claim 11 , wherein obtaining the at least one inference model comprises:
 obtaining training examples based on the scene information; and   generating at least part of the at least one inference model using the training examples.   
     
     
         16 . The non-transitory computer readable medium of  claim 11 , wherein the scene information comprises an indication of a swimming pool, and wherein processing the second group of one or more images using the at least one inference model is configured to detect drowning events. 
     
     
         17 . The non-transitory computer readable medium of  claim 11 , wherein the scene information comprises an indication of a piece of equipment, and wherein processing the second group of one or more images using the at least one inference model is configured to detect safety related events associated with the piece of equipment. 
     
     
         18 . The non-transitory computer readable medium of  claim 11 , wherein the scene information comprises an indication of at least one of a pet and a child. 
     
     
         19 . The non-transitory computer readable medium of  claim 11 , wherein the scene information comprises at least one of a property of an object appearing in the first group of one or more images and a property of a person appearing in the first group of one or more images. 
     
     
         20 . A method comprising:
 obtaining a first group of one or more images captured using at least one image sensor from an environment;   analyzing the first group of one or more images to obtain scene information;   based on the scene information, obtaining at least one inference model;   using the scene information to determine parameters for modifying the obtained at least one inference model;   obtaining a second group of one or more images captured using the at least one image sensor from the environment; and   processing the second group of one or more images using the at least one inference model.