SYSTEMS AND METHODS FOR GENERATING ADAPTED CONTENT DEPICTIONS
A method for generating a content depiction of particular content that includes a machine learning system programmed to receive profile data representing preferences for content. The machine learning system identifies preferences for content features based upon the profile data, accesses content data representing the particular content and other content, and classifies features of the content data and content structure data within a content structure database system according to content categories. The machine learning system generates a content structure depiction of the particular content by combining content structure data from the content structure database system, wherein the combining is based upon correlating the identified preferences of the profile with the classified content categories. The machine learning system receives feedback data responsive to the content depiction and reprograms a configuration of the machine learning system for generating a content depiction based upon the feedback data.
1 . A method comprising:
receiving as input content structures and features;
processing the received content structures and features;
generating, with a model generated by a generator and a discriminator, based at least in part on the received and processed content structures and features, intermediate content structures and features; and
generating for output, based on the generated content structures and features, a single frame depiction of content,
wherein:
the generator generates single frame depictions of content based on content structures and features,
the discriminator compares the single frame depictions of content from generator with known single frame depictions of content to generate trained and fine-tuned single frame depictions of content, and
the generator is trained and fine-tuned in parallel with the discriminator.
2 . The method of claim 1 , wherein the content structures and features include at least one of a user account profile, content browsing history, prior content consumption, a social media pattern, content metadata of a content item, a user preference, an image, an image attribute, a vector graphic command, an attribute of an object depicted in the content item, a background, a type of content, or a theme,
wherein the intermediate content structures and features include at least one of a stock single frame depiction of content, a content structure, an image, a background, an action sequence, an animated character, or a scene, and
wherein the single frame depiction of content includes at least one of an animated scene, an action scene, a scene from the content item including characters engaged in action, or a modified background.
3 . The method of claim 1 , wherein the processing of the received content structures and features includes an object data structure.
4 . The method of claim 3 , wherein the object data structure includes a descriptive structure, and an action structure.
5 . The method of claim 4 , wherein the descriptive structure includes at least one of an object name, an object type, a feature, or a state, and
wherein the action structure includes at least one of an action, an absolute location, a relative location, an absolute motion, or a relative motion.
6 . The method of claim 1 , the method further comprising transmitting of the single frame depiction of content to a user for collection of feedback.
7 . The method of claim 6 , the method further comprising modifying the single frame depiction of content based on the feedback.
8 . The method of claim 1 further comprising determining at least one of an authenticity of the single frame depiction of content, an approval of the single frame depiction of content, or whether at least one of an image, a content structure, an actor, an object, or a background sufficiently resemble a model depiction.
9 . The method of claim 8 , wherein the determining includes processing at least one of the image, the content structure, the actor, the object, or the background with at least one of facial recognition, object recognition, or pattern matching.
10 . The method of claim 1 , wherein the content structures and features include at least one of a user account profile, content browsing history, prior content consumption, a social media pattern, content metadata of a content item, a user preference, an image, an image attribute, a vector graphic command, an attribute of an object depicted in the content item, a background, a type of content, or a theme,
wherein the intermediate content structures and features include at least one of a stock single frame depiction of content, a content structure, an image, a background, an action sequence, an animated character, or a scene,
wherein the single frame depiction of content includes at least one of an animated scene, an action scene, a scene from the content item including characters engaged in action, or a modified background,
wherein the processing of the received content structures and features includes an object data structure,
wherein the object data structure includes a descriptive structure, and an action structure,
wherein the descriptive structure includes at least one of an object name, an object type, a feature, or a state, and
wherein the action structure includes at least one of an action, an absolute location, a relative location, an absolute motion, or a relative motion,
the method further comprising:
transmitting of the single frame depiction of content to a user for collection of feedback,
modifying the single frame depiction of content based on the feedback, and
determining at least one of an authenticity of the single frame depiction of content, an approval of the single frame depiction of content, or whether at least one of an image, a content structure, an actor, an object, or a background sufficiently resemble a model depiction,
wherein the determining includes processing at least one of the image, the content structure, the actor, the object, or the background with at least one of facial recognition, object recognition, or pattern matching, and
wherein the single frame depiction of content is targeted to a target audience based on the transmitting, the modifying, and the determining.
11 . A system comprising control circuitry configured to:
receive as input content structures and features;
process the received content structures and features;
generate, with a model generated by a generative adversarial network (GAN), based at least in part on the received and processed content structures and features, intermediate content structures and features; and
generate for output, based on the generated modified content structures and features, a single frame depiction of content,
wherein:
the generator generates single frame depictions of content based on content structures and features,
the discriminator compares the single frame depictions of content from generator with known single frame depictions of content to generate trained and fine-tuned single frame depictions of content, and
the generator is trained and fine-tuned in parallel with the discriminator.
12 . The system of claim 11 , wherein the content structures and features include at least one of a user account profile, content browsing history, prior content consumption, a social media pattern, content metadata of a content item, a user preference, an image, an image attribute, a vector graphic command, an attribute of an object depicted in the content item, a background, a type of content, or a theme,
wherein the intermediate content structures and features include at least one of a stock single frame depiction of content, a content structure, an image, a background, an action sequence, an animated character, or a scene, and
wherein the single frame depiction of content includes at least one of an animated scene, an action scene, a scene from the content item including characters engaged in action, or a modified background.
13 . The system of claim 11 , wherein the processing of the received content structures and features includes an object data structure.
14 . The system of claim 13 , wherein the object data structure includes a descriptive structure, and an action structure.
15 . The system of claim 14 , wherein the descriptive structure includes at least one of an object name, an object type, a feature, or a state, and
wherein the action structure includes at least one of an action, an absolute location, a relative location, an absolute motion, or a relative motion.
16 . The system of claim 11 , the control circuitry further configured to transmit the single frame depiction of content to a user for collection of feedback.
17 . The system of claim 16 , the control circuitry further configured to modify the single frame depiction of content based on the feedback.
18 . The system of claim 11 , the control circuitry further configured to determine at least one of an authenticity of the single frame depiction of content, an approval of the single frame depiction of content, or whether at least one of an image, a content structure, an actor, an object, or a background sufficiently resemble a model depiction.
19 . The system of claim 18 , wherein the determining includes processing at least one of the image, the content structure, the actor, the object, or the background with at least one of facial recognition, object recognition, or pattern matching.
20 . The system of claim 11 , wherein the content structures and features include at least one of a user account profile, content browsing history, prior content consumption, a social media pattern, content metadata of a content item, a user preference, an image, an image attribute, a vector graphic command, an attribute of an object depicted in the content item, a background, a type of content, or a theme,
wherein the intermediate content structures and features include at least one of a stock single frame depiction of content, a content structure, an image, a background, an action sequence, an animated character, or a scene,
wherein the single frame depiction of content includes at least one of an animated scene, an action scene, a scene from the content item including characters engaged in action, or a modified background,
wherein the processing of the received content structures and features includes an object data structure,
wherein the object data structure includes a descriptive structure, and an action structure,
wherein the descriptive structure includes at least one of an object name, an object type, a feature, or a state, and
wherein the action structure includes at least one of an action, an absolute location, a relative location, an absolute motion, or a relative motion,
the control circuitry further configured to:
transmit of the single frame depiction of content to a user for collection of feedback,
modify the single frame depiction of content based on the feedback, and
determine at least one of an authenticity of the single frame depiction of content, an approval of the single frame depiction of content, or whether at least one of an image, a content structure, an actor, an object, or a background sufficiently resemble a model depiction,
wherein the determining includes processing at least one of the image, the content structure, the actor, the object, or the background with at least one of facial recognition, object recognition, or pattern matching, and
wherein the single frame depiction of content is targeted to a target audience based on the transmitting, the modifying, and the determining.