Abstract: Embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for verifying the identity of a data subject. In one embodiment, a method is provided comprising: receiving, via a browser, a consumer rights request for a data subject for performing an action with regard to personal data associated with the data subject; detecting a state of the browser indicating a location; identifying a law based on the location; determining a level of identity verification required based on the law; generating, based on the level, a GUI by configuring a first prompt on the GUI configured for receiving input for a first type of identity verification; transmitting an instruction to present the GUI; receiving the input for the first type of identity verification; verifying the identity of the data subject based on the input; and responsive to verifying the identity, causing performance of the action.

Abstract: In an example, a system includes an input channel and a voltage to delay converter (V2D) coupled to the input channel. The system also includes a first multiplexer coupled to the V2D and an analog-to-digital converter (ADC) coupled to the first multiplexer. The system includes a second multiplexer coupled to the input channel and an auxiliary ADC coupled to the second multiplexer. The system includes calibration circuitry coupled to an output of the auxiliary ADC, where the calibration circuitry is configured to correct a non-linearity in a signal provided by the input channel. The calibration circuitry is also configured to determine the non-linearity of the signal provided to the ADC relative to the signal provided to the auxiliary ADC.

Abstract: Described is a system for cloud-based processing of backup data for storage onto various types of object storage systems. A specialized cloud-based component (e.g. proxy server) may act as an intermediary when backing up data from a client system to an object storage. For example, the cloud-based component may be provided as part of backup service that operates in conjunction with a client system. Accordingly, the system may allow different clients of a backup service to efficiently and seamlessly interact with the different third-party object storage providers via a single cloud-based component. To provide such object-storage-agnostic functionality, the cloud-based component may include a function library that includes object-storage-specific functions. For example, the cloud-based component may invoke a specific set of operations that interact with a storage API provided by a particular object storage provider.

Abstract: Embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for verifying the identity of a data subject. In one embodiment, a method is provided comprising: receiving, via a browser, a consumer rights request for a data subject for performing an action with regard to personal data associated with the data subject; detecting a state of the browser indicating a location; identifying a law based on the location; determining a level of identity verification required based on the law; generating, based on the level, a GUI by configuring a first prompt on the GUI configured for receiving input for a first type of identity verification; transmitting an instruction to present the GUI; receiving the input for the first type of identity verification; verifying the identity of the data subject based on the input; and responsive to verifying the identity, causing performance of the action.

Abstract: A system and method include a server device which transmits a list of passengers for a vehicle route. The list of passengers may include profiles for each one of the passengers. The server device may further receive a unique identification for a passenger boarding a vehicle and compare the unique identification to the list of passengers for the vehicle route. The server device may further identify the passenger boarding the vehicle as being on board the vehicle in the profile for that passenger. The server device may further receive vehicle status information from the vehicle and transmit driver navigational information to a driver device. The server device may further transmit real time tracking data to a user device, including a map with an indicator of a current location of the vehicle.

Abstract: A system and method include a server device which identifies a plurality of stops for a vehicle among a fleet of vehicles. The server device also identifies stop locations for each one of the plurality of stops and a side of a street for each one of the plurality of stops. Once identified, the server devices generates an optimized route for service by the vehicle to service each one of the stop based on an optimized stop order for each one of the plurality of stops based on the stop locations being disposed only on the identified side of the street for each one of the plurality of stop locations. The optimized route may be provided to a driver device while the route and time of arrival information may be provided to a user.

Abstract: A system includes a server device which receives a charter service request from a user device is provided herein. The vehicle charter service request includes information about the request including a specified pickup location, one or more specified stop locations, and a specified destination location. The server device may provide a graphical user interface for the one or more vehicle types which are selectable for providing the vehicle charter service. The server device creates an optimized route for the charter service based on the specified pickup location, one or more specified stop locations, and a specified destination location. The server device may further provide a map and real time tracking for a vehicle providing the charter service.

Abstract: A system and method include server computer which may generate a route service request to service a route with a vehicle and identify a start location for the route and one or more stop locations of the route based on historical data associated at least with one of the route or the vehicle. The server computer may proceed to determine a probability that each of the one or more stop locations for the route will be serviced by the vehicle for the route and automatically select, based on the probability associated with each one of the one or more stop locations for the route, a subset of stop locations among the one or more stop locations. The server computer may then assign the subset of stop locations to the route, and transmit routing navigation instructions to a device associated with the vehicle.

Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

Abstract: A method may include obtaining a plurality of frames of at least one video; determining an occurrence of a change from a first event of the at least one video to a second event of the video; determining a location in the plurality of frames; inserting one or more masked frames at the location between at least one frame of the first event and at least one frame of the second event; determining at least one transition component present in the at least one frame of the first event and the at least one frame of the second event; determining a motion of pixels for the at least one transition component across the plurality of frames of the first event and the plurality of frames of the second event; providing at least one transition effect in the one or more masked frames between the first event and the second event.

Abstract: An apparatus, method, and computer-readable medium for rendering a 3D image using a neural network for implicit representation of the image. UV coordinates of a texture map corresponding to a point on the image are calculated using a texture neural network. The image is rendered by applying a color value located at the UV coordinates of the texture map to the point.

Abstract: Described is a system (and method) for specialized data management when performing incremental backups to a cloud-based object storage. When backing up client data, the server may utilize incremental backups to conserve the amount of storage space required on the object storage. However, the server may implement a configuration that enables full reconstruction of the client data at the time of recovery. To provide such capabilities, the server may leverage a specialized metadata database. The metadata database may be an embedded database maintained by the server. The server may leverage the metadata database to provide further storage efficiencies by storing certain incremental backup data exclusively within the metadata database. Accordingly, the server may implement a data management configuration as part of a backup service that conserves storage usage, and as a result, storage costs when using on a third-party cloud-based object storage.

Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

Abstract: Described is a system for managing backup data stored on a cloud-based object storage irrespective of the storage provider. The system may include a server (or gateway) that provides a backup service, and acts as an intermediary between a client device and object storage. To provide such capabilities, the system may manage an application programming interface (API) that provides a uniform set of methods to a client device irrespective of the destination object storage provider. A function library may include provider-specific functions that invoke corresponding storage-layer operations provided by the destination object storage. The server may also manage an operation pool to schedule operations and saturate bandwidth to the object storage. The server may also implement a specialized metadata database to provide further storage efficiencies by storing certain backup data exclusively within the metadata database.

Abstract: The present disclosure describes methods and devices for generating a vector line drawing. A vector line drawing network may include a machine learning-based model that is trained to convert a raster image to a vector line drawing directly. The vector line drawing network may be trained end-to-end, using supervised learning, where only raster images are used as training data. A vector line drawing is generated stroke by stroke, over a series of time steps. In each time step, a dynamic drawing window is moved and scaled across the input raster image to sample a patch of the raster image, and a drawing stroke is predicted to draw a stroke in a corresponding patch in the canvas for the vector line drawing. The image patches are pasted in the canvas to assemble a final vector line drawing that corresponds to the input raster image.

Abstract: Approaches described and suggested herein relate to generating three-dimensional representations of objects to be used to render virtual reality and augmented reality effects on personal devices such as smartphones and personal computers, for example. An initial surface mesh of an object is obtained. A plurality of silhouette masks of the object taken from a plurality of viewpoints is also obtained. A plurality of depth maps are generated from the initial surface mesh. Specifically, the plurality of depth maps are taken from the same plurality of viewpoints from which the silhouette images are taken. A volume including the object is discretized into a plurality of voxels. Each voxel is then determined to be either inside the object or outside of the object based on the silhouette masks and the depth data. A final mesh is then generated from the voxels that are determined to be inside the object.

Abstract: The disclosure relates to an offline-online question answering system. In some aspects, the techniques described herein relate to a method including: receiving, by a processor, a query from a user; generating, by the processor, a query embedding representing the query; identifying, by the processor, at least one question corresponding to the query by comparing the query embedding to a plurality of embeddings of questions; and transmitting, by the processor, an answer corresponding to the at least one question to the user in response to the query.

Abstract: An apparatus, method, and computer-readable medium for rendering a 3D image using a neural network for implicit representation of the image. UV coordinates of a texture map corresponding to a point on the image are calculated using a texture neural network. The image is rendered by applying a color value located at the UV coordinates of the texture map to the point.

Abstract: Described is a system (and method) for providing multiple types of granular delete operations for a cloud-based object storage. The system may include a server that acts as an intermediary between a client device and an object storage that stores client data. The server may allow a client to perform a hard delete (or permanent) delete and a soft delete. The server may perform a specialized processing to synthetically create the soft delete feature using a permanent object delete operation provided by the object storage. The specialized processing may include manipulating retention periods associated with objects depending on whether the object is subject to a hard delete or a soft delete. As a result, the server may provide the ability for clients to perform a soft delete at an object level using existing storage level APIs that do not directly support such a feature.

Abstract: Described is a system for synchronizing expiration times for incremental backup data stored on a cloud-based object storage. More particularly, the system may provide a layer of intelligence when updating the expiration times associated with backup data to ensure that a full recovery of the client data to a point-in-time of any incremental backup may be performed. To provide such a capability, the system may maintain specialized metadata identifying expiration times for objects and a list of objects required to perform a full recovery to a point-in-time for each of the performed backups (e.g. full or incremental). The system may access this metadata to identify which objects stored by a previous backup are still referenced by a subsequent backup. Based on the identified objects, the system may synchronize object expiration times to ensure objects are not prematurely deleted from the object storage.