G06F16/538

Managed notification system

A managed notification system compares image(s) and/or indicia relating to the image(s) and where there is a match selectively provides a notification of the same.

Managed notification system

A managed notification system compares image(s) and/or indicia relating to the image(s) and where there is a match selectively provides a notification of the same.

AUTOMATICALLY ENHANCING STREAMING MEDIA USING CONTENT TRANSFORMATION
20220398276 · 2022-12-15 ·

A method includes receiving media content comprising audio data for distribution through content distribution platform that requires the media content to include video content, transforming the audio data into textual content, determining, based on a search of a searchable database, that the textual content of the audio data matches characteristics of visual data in the searchable database, integrating the visual data having the matched characteristics with the media content to create an augmented content stream in response to the determination that the textual content of the audio data matches the characteristics of the visual data, and distributing the augmented content stream through the content distribution platform that requires the media content to include video content.

CENTRALIZED ON-DEVICE IMAGE SEARCH

A method is provided that includes receiving, from a first application, a first image file and a first set of metadata associated with the first image file, and updating an on-device index based on the first image file and the first set of metadata. The method may further include processing the first image file and the first set of metadata to generate a second set of metadata and updating the on-device index based on the second set of metadata. Upon receiving an image search query the process may identify a plurality of candidate image files from the on-device index based on the image search query, and providing the plurality of candidate image files for display in response to the image search query.

METHODS AND SYSTEMS FOR GENERATING A STRING IMAGE
20220391436 · 2022-12-08 ·

Methods, systems, and apparatuses are described for receiving image data and generating, based on the image data a set of instructions. The instructions may be configured to describe a method of weaving string around a loom so as to generate a string art representation of the received image.

METHODS AND SYSTEMS FOR GENERATING A STRING IMAGE
20220391436 · 2022-12-08 ·

Methods, systems, and apparatuses are described for receiving image data and generating, based on the image data a set of instructions. The instructions may be configured to describe a method of weaving string around a loom so as to generate a string art representation of the received image.

SCENE GRAPH EMBEDDINGS USING RELATIVE SIMILARITY SUPERVISION
20220391433 · 2022-12-08 ·

Systems and methods for image processing are described. One or more embodiments of the present disclosure identify an image including a plurality of objects, generate a scene graph of the image including a node representing an object and an edge representing a relationship between two of the objects, generate a node vector for the node, wherein the node vector represents semantic information of the object, generate an edge vector for the edge, wherein the edge vector represents semantic information of the relationship, generate a scene graph embedding based on the node vector and the edge vector using a graph convolutional network (GCN), and assign metadata to the image based on the scene graph embedding.

SCENE GRAPH EMBEDDINGS USING RELATIVE SIMILARITY SUPERVISION
20220391433 · 2022-12-08 ·

Systems and methods for image processing are described. One or more embodiments of the present disclosure identify an image including a plurality of objects, generate a scene graph of the image including a node representing an object and an edge representing a relationship between two of the objects, generate a node vector for the node, wherein the node vector represents semantic information of the object, generate an edge vector for the edge, wherein the edge vector represents semantic information of the relationship, generate a scene graph embedding based on the node vector and the edge vector using a graph convolutional network (GCN), and assign metadata to the image based on the scene graph embedding.

Autonomous system to assist consumers to select colors

An autonomous App for selecting color is disclosed. The App includes (i) receiving an oral query concerning a color from a user, (ii) converting the oral query into a digital signal, (iii) associating the queried color with indicia of said queried color in a color database, and (iv) communicating an oral response to the user based on the queried color. The App resides in a general computing machine, such as a smart phone, a smart speaker or a computer tablet. The App can also guide the user to color merchandises on a color display by the general computing machine capable of augmenting an image of the color display with color information.

Autonomous system to assist consumers to select colors

An autonomous App for selecting color is disclosed. The App includes (i) receiving an oral query concerning a color from a user, (ii) converting the oral query into a digital signal, (iii) associating the queried color with indicia of said queried color in a color database, and (iv) communicating an oral response to the user based on the queried color. The App resides in a general computing machine, such as a smart phone, a smart speaker or a computer tablet. The App can also guide the user to color merchandises on a color display by the general computing machine capable of augmenting an image of the color display with color information.