Abstract: A method for information overweight detection and intervention is described. The method includes training a statistical model to classify salient information that may be overweight by individuals to provide a trained statistical model. The method also includes collecting data from a user about the salient information experienced by the user or to which the user is exposed. The method further includes analyzing the salient information using the trained statistical model to identify and classify the salient information that the user may overweight to identify overweight information. The method also includes presenting one or more interventions to the user to prevent the user from overweighting the identified overweight information.

Abstract: A computer-implemented method, comprising receiving one or more inputs associated with a master services agreement (MSA), and generating an output that includes smart contract information; performing a simulation and receiving user input to interactively adjust the smart contract information and implement a smart purchase agreement (SPA) in blockchain and in a state engine; and automatically generating a smart purchase order (SPO) under the MSA, wherein the SPO is automatically validated for a conflict against the MSA in real-time, and for the case of a conflict, a conflict warning is provided.

Abstract: Systems, methods, and other embodiments described herein relate to informing a user how a hypothetical electric vehicle would perform based on the driving habits of the user in a non-electric vehicle. In one embodiment, a method includes identifying an origin and a destination of a non-electric vehicle after the non-electric vehicle has arrived at the destination. The method includes determining energy information for a hypothetical electric vehicle traveling from the origin to the destination and outputting the energy information to the user.

Abstract: Systems, methods, and other embodiments described herein relate to informing a user how a hypothetical electric vehicle would perform based on the driving habits of the user in a non-electric vehicle. In one embodiment, a method includes identifying an origin and a destination of a non-electric vehicle after the non-electric vehicle has arrived at the destination. The method includes determining energy information for a hypothetical electric vehicle traveling from the origin to the destination and outputting the energy information to the user.

Abstract: A computer-implemented method of associating an annotation with an object in an image, comprising generating a dictionary including first vectors that associate terms of the annotation with concepts, classifying the image to generate a second vector based on classified objects and associated confidence scores for the classified objects, selecting a term of the terms associated with one of the first vectors having a shortest determined distance to the second vector, identifying a non-salient region of the image, and rendering the annotation associated with the selected term at the non-salient region.

Abstract: Users are enabled to define and modify mappings between (1) gestures and (2) actions performed by one or more computing devices in response to a device detecting performance of a gesture. A generalized gesture-to-action mapping framework allows users to intuitively define and modify such mappings. In response to a device detecting the performance of a particular gesture, one or more devices may cause the execution of one or more device actions based on a set of user-defined gesture-to-action mappings.

Abstract: Example implementations described herein are directed to systems and methods for anomaly detection through using a segmentation process and an object detection process on images received through a camera system. The segmentation process and object detection process are then matched to detected additive anomalies (e.g., objects added to the environment) and subtractive anomalies (e.g., objects missing from the environment). Based on the type of anomaly detected as well as the underlying object, notifications can be dispatched to the user of the environment or the administrator of the system.

Abstract: A computer-implemented method, comprising receiving one or more inputs associated with a master services agreement (MSA), and generating an output that includes smart contract information; performing a simulation and receiving user input to interactively adjust the smart contract information and implement a smart purchase agreement (SPA) in blockchain and in a state engine; and automatically generating a smart purchase order (SPO) under the MSA, wherein the SPO is automatically validated for a conflict against the MSA in real-time, and for the case of a conflict, a conflict warning is provided

Abstract: A computer-implemented method of associating an annotation with an object in an image, comprising generating a dictionary including first vectors that associate terms of the annotation with concepts, classifying the image to generate a second vector based on classified objects and associated confidence scores for the classified objects, selecting a term of the terms associated with one of the first vectors having a shortest determined distance to the second vector, identifying a non-salient region of the image, and rendering the annotation associated with the selected term at the non-salient region.

Abstract: Systems and methods are provided that involve processing video to identify a plurality of people in the video; obtaining a plurality of gaze part affinity fields (PAFs) and torso PAFs from the identified plurality of people; determining orthogonal vectors from first vectors derived from the torso PAFs; determining an intersection between second vectors derived from the gaze PAFs and the orthogonal vectors; and changing a viewpoint of the video based on the intersection.

Abstract: Systems and methods are provided that involve processing video to identify a plurality of people in the video; obtaining a plurality of gaze part affinity fields (PAFs) and torso PAFs from the identified plurality of people; determining orthogonal vectors from first vectors derived from the torso PAFs; determining an intersection between second vectors derived from the gaze PAFs and the orthogonal vectors; and changing a viewpoint of the video based on the intersection.

Abstract: A computer implemented method of grouping media objects is provided, as well as systems, interfaces and devices therefor. The method includes generating a group from the media objects based on a combination of a script of sequential events and an actor associated with one or more of the media objects in the script, segmenting the group into segments each including one or more of the media objects, based on clustering or classification, providing titling and captioning for the segments, and generating filter and annotation recommendations based on knowledge associations in the media objects, data, and the combination of the script and the actor, across the media objects of the group.

Abstract: Example implementations described herein are directed to systems and methods for anomaly detection through using a segmentation process and an object detection process on images received through a camera system. The segmentation process and object detection process are then matched to detected additive anomalies (e.g., objects added to the environment) and subtractive anomalies (e.g., objects missing from the environment). Based on the type of anomaly detected as well as the underlying object, notifications can be dispatched to the user of the environment or the administrator of the system.

Abstract: An apparatus includes a 360 camera configured to image a volume including one or more local users, and generate an output for remote users, and an illumination device configured to generate a visual output for the one or more local users that is indicative of a viewing direction or a number of the remote users, based on a mapping of a region of interest of the remote viewers. The illumination device is associated with the 360 camera.

Abstract: A computer implemented method of associating a non-electronic map with an electronic map is provided. The method comprises, for an obtained online data collection, generating a database of style-invariant and location-variant map representations by application of a convolutional neural network. Additionally, for a captured image associated with the non-electronic map, the captured image not having geo-location metadata, the method comprises applying a nearest neighbor heuristic to compare the captured image to the map representations and generate a match between the captured image and the map representations, and performing a display action associated with the match.

Abstract: A method and system of associating textual summaries with data representative of media content is provided. The method may include receiving a plurality of textual summaries, each textual summary representative of an event, pairing, by a neural network, each received textual summary with each of a plurality of pieces of data, each piece of data representative of media content, to generate a plurality of text-data pairings; and associating a first selected textual summary with a first piece of data based on a similarity of content features extracted from each received textual summary to content features extracted from each piece of data in each of the plurality of text-data pairings.

Abstract: A method of visualizing recommended pieces of media content is provided. The method includes identifying at least one piece of media content associated with a received content feature associated with a viewed piece of media content, selecting at least one additional piece of media content linked to the viewed piece of media content by a sequential relationship, generating a two-dimensional visualization based on a content similarity between the identified at least one piece of media content, the viewed piece of media content, and the selected at least one additional piece of media content and the sequential relationship; and displaying the generated two-dimensional visualization.

Abstract: An apparatus includes a 360 camera configured to image a volume including one or more local users, and generate an output for remote users, and an illumination device configured to generate a visual output for the one or more local users that is indicative of a viewing direction or a number of the remote users, based on a mapping of a region of interest of the remote viewers. The illumination device is associated with the 360 camera.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically determine media content to communicate to a user based on the user's location. The disclosed systems and methods enable novel media content distribution to a user based on 1) the location of the user (i.e., physical location or geo-location), 2) other users' classified relationships to the location; and 3) user generated media content by the classified other users.

Abstract: One or more computing devices, systems, and/or methods for providing content sharing recommendations are provided. For example, signals, associated with a user (e.g., a location of the user, an event occurring near the user, an activity being performed by the user, content of a message recently received by the user or being composed by the user, etc.), are evaluated to identify a context associated with the user (e.g., the user may be composing a social network post about a basketball game that the user is attending). The context is applied to content (e.g., photos, videos, documents, webpages, etc.), available to the user, to create contextualized content indicative of how appropriate or relevant such content is given the context (e.g., a basketball game photo may be more relevant than a work document). A content sharing recommendation of contextualized content may be provided to the user.