Method and system for interfacing with a user to facilitate an image search for an object-of-interest

A method comprising:

• receiving facet search commencement user input indicating that a search for a facet is to commence;
• in response to the facet search commencement user input, searching one or more video recordings for the facet;
• and
• displaying, on a display, facet image search results depicting the facet, wherein the facet image search results are selected from the one or more video recordings, wherein the image search results depict the facet in conjunction with a type of object-of-interest common to the image search results.

A system comprising:

• a display;
• an input device;
• a processor communicatively coupled to the display and the input device;
• and
• a memory communicatively coupled to the processor and having stored thereon computer program code that is executable by the processor, wherein the computer program code, when executed by the processor, causes the processor to perform a method comprising:
• generating a facet image training set that comprises training images, wherein the training images depict a type of facet common to the training images, wherein the training images depict the type of facet in conjunction with a type of object common to the training images;
• training, by using the facet image training set, an artificial neural network to classify the type of facet when a sample image comprising the type of facet is input to the artificial neural network;
• classifying the sample image using the artificial neural network to assess whether the sample image depicts the type of facet;
• and
• after the sample image has been classified, searching the sample image for the type of facet.

A non-transitory computer readable medium having stored thereon computer program code that is executable by a processor and that, when executed by the processor, causes the processor to perform a method comprising:

• generating a facet image training set that comprises training images, wherein the training images depict a type of facet common to the training images, wherein the training images depict the type of facet in conjunction with a type of object common to the training images;
• training, by using the facet image training set, an artificial neural network to classify the type of facet when a sample image comprising the type of facet is input to the artificial neural network;
• classifying the sample image using the artificial neural network to assess whether the sample image depicts the type of facet;
• and
• after the sample image has been classified, searching the sample image for the type of facet.