Abstract: A method and system for optimizing backup and backup discovery operations using change based metadata tracking (CBMT). Specifically, the disclosed method and system entail eliminating the storage and subsequent transmission of redundant asset metadata information to a central coordination point during backup discovery operations, which may strain central coordination point resources, as well as client device resources. Accordingly, rather than re-sharing the same asset metadata information every time a backup discovery initiates, the client device tracks, maintains, and transmits only changes in asset metadata, thereby conserving resource utilization.

Abstract: Described is a system (and method) for cross application granular restore of email attachments backed up to a cloud-based object storage. More particularly, the system may allow various non-email applications to directly restore an email attachment of a backed-up email without requiring restoration of the email itself. The attachment may be a file, item (e.g., contact, event, message, etc.), or another type of attachment such as a link to a file or an item. To provide such a capability, the system may decouple the attachment from an email when performing a backup to an object storage. The system may also store specialized metadata that may be leveraged when performing an efficient restore of the attachment.

Abstract: The present disclosure is related to the field of digital communication and provides a method and system for providing personalized multimodal objects in real-time. An object predicting system receives a text input from at least one application installed in a user device associated with a user. Thereafter, the object predicting system determines an intent of the user by analyzing the text input, which is then correlated with contextual data to generate a query. Subsequently, the object predicting system performs a unified search in a universal database, based on the query, wherein the universal database comprises multimodal data. Further, a plurality of multimodal objects predicted in response to the unified search are ranked based on at least one of the contextual data and user preferences. Finally, at least one of the predicted plurality of multimodal objected related to the text input are provided to the user based on the ranking.

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: Approaches described and suggested herein relate to generating an enhanced point cloud representation of an objection and generating a surface mesh from the enhanced point cloud. The surface mesh can be used to render three-dimensional representations of objects on personal devices such as smartphones and personal computers, for example. Generating an enhanced point cloud of an object includes capturing a plurality of images of the object from a plurality of viewpoints about the object, generating an initial point cloud representation of the object from the plurality of images, generating a preliminary surface mesh from the point cloud using a Delauney-based meshing algorithm, and sampling points from the preliminary surface mesh. The sampled points are then added to the point cloud to form the enhanced point cloud. A final surface mesh can then be generated from the enhanced point cloud using a Poisson-based meshing algorithm.

Abstract: A method and system for intelligently migrating to a centralized protection framework. Specifically, the disclosed method and system entail redirecting the target of asset backup operations for any given asset from one or more legacy backup devices to a centrally-managed backup device.

Abstract: Described is a system for cloud-based scheduling of data operations to an 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. Requests by the client device to manage data on the object storage may be routed through the server. In response, the server may execute corresponding data operations directly on the object storage. The server may manage bandwidth limits for operation requests to an object storage by maintaining a specialized operation pool. The operation pool may be configured to manage operation-specific queues, and these operation-specific queues may include sub-operations (or threads) that are executed on the object storage. Sub-operations of various types of operations may be initiated for concurrent execution on the object storage based on scheduling information derived from the operation pool.

Abstract: A backup storage for managing backups of clients includes persistent storage and a backup analyzer. The persistent storage includes the backups, protection policies, and an early deletion schedule. The backup analyzer obtains a request to analyze a protection policy of the protection policies; in response to obtaining the request: obtains backup data information associated with the protection policy; makes a determination, based on the backup data information and the protection policy, that a portion of the backups associated with the protection policies overprotect a client of the clients associated with the protection policy; and modifies the early deletion schedule based on the determination to obtain a modified early deletion schedule.

Abstract: In various embodiments, before a data subject request can be processed, the data subject's identity may need to be verified. In various embodiments, the system provides a mechanism to automatically detect the type of authentication required for a particular data subject based on the type of Data Subject Access Request being made and automatically issues a request to the data subject to verify their identity against that form of identification. For example, a subject rights request might only require two types of authentication, but a deletion request may require four types of data to verify authentication. The system may automatically detect which is type of authentication is required based on the DSAR and send an appropriate request to the data subject to verify their identity.

Abstract: An apparatus and method for generating a customized content are provided. An apparatus for generating a customized content, may include: at least one memory configured to store one or more instructions; at least one processor configured to execute the one or more instructions to: (1) obtain an input from a user; (2) detect, from the input, at least one feature and modality of the input among a plurality of modalities comprising a text format, a sound format, a still image format, and a moving image format; (3) determine a mode of the customized content, from a plurality of modes, based on the at least one feature and the modality of the input, the plurality of modes including an image mode and a text mode; and (4) generate the customized content based on the determined mode, and a display configured to display the customized content.

Abstract: A machine learning system receives a reference image and generates a series of projected view images of a physical object represented in the images. Parallel neural networks may receive the reference image and series of projected view images for analysis to determine one or more features of the physical object. By pooling the results from the parallel network, a single output may be provided to a set of decodes that are trained to identify a material property of the one or more items. As a result, a three-dimensional model may be generated that includes a graphical representation of the object as a function of its material properties to enable improved rendering.

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: A system including persistent storage for storing an object repository and a user data backup. The system also includes a manager that obtains fragmented user data associated with an object that is potentially duplicative of an object stored in the object repository; makes a determination that the object is duplicative based on a copy of the object stored in the object repository; in response to making the determination, adds the fragmented user data to a user data backup without adding the object to the backup; associates the fragmented user data in the user data backup with the copy of the object stored in the object repository; and stores the user data backup in the persistent storage.

Abstract: A system for providing backup services for limited-access user data includes persistent storage for storing fragmented user data and a manager. The manager identifies a backup generation event for the limited-access user data based on a protection policy; in response to identifying the backup generation event, obtains the fragmented user data from an application that gates access to the limited-access user data; identifies, based on the fragmented user data, organizational metadata for generating a user data backup; obtains the identified organizational metadata from the application; and generates the user data backup using the organizational metadata and the fragmented user data.

Abstract: A system for providing backup services for limited-access user data includes persistent storage for storing a user data visualization enhanced user data backup and a manager. The manager identifies a backup generation event for limited-access user data based on a protection policy; in response to identifying the backup generation event, obtains fragmented user data from an application that gates access to the limited-access user data; obtains organizational metadata associated with the fragmented user data from the application; makes a determination that the fragmented user data is associated with a user data visualization; in response to making the determination, obtains user data visualization metadata associated with the fragmented user data from the application; and generates the user data enhanced user data backup using the organizational metadata, the user data visualization metadata, and the fragmented user data.

Abstract: A system for providing backup services for limited-access user data includes persistent storage and a manager. The manager identifies a backup generation event for the limited-access user data based on a protection policy; in response to identifying the backup generation event, performs, using an application that gates access to the limited-access user data, a change analysis of the limited-access user data to identify a portion of the limited-access user data that is potentially in a backed-up state; obtains, using the application, metadata associated with the portion indicative of whether sub-portions of the portion are in the backed-up state; identify, using the metadata, at least one of the sub-portions that is not in the backed-up state; and generates the user data backup using the at least one of the sub-portions.

Abstract: A system for providing backup services for limited-access user data includes persistent storage for storing a conversation specific user data backup and a manager. The manager identifies a backup generation event for limited-access user data based on a protection policy; in response to identifying the backup generation event; obtains fragmented user data from an application that gates access to the limited-access user data; obtains organizational metadata associated with the fragmented user data from the application; makes a determination that the fragmented user data is associated with a conversation; in response to making the determination, obtains conversation metadata associated with the fragmented user data from the application; and generates the conversation specific user data backup using the organizational metadata, conversation metadata, and the fragmented user data.

Abstract: Images of various views of objects can be captured. An object mesh structure can be created based at least in part on the object images. The object mesh structure represents the three-dimensional shape of the object. Alpha masks indicating which pixels are associated with the object can be used to refine the object mesh structure. A request can be made to view the object from an arbitrary viewpoint which differs from the viewpoints associated with the captured images. A subset of the captured images can be used to create a synthetic image. Different weights can be assigned to the captured image to render a synthetic image that represents the view from the arbitrary viewpoint selected. The input images for the synthetic image can be prefetched, or loaded into memory before the arbitrary view is requested. The images can also be cached for future use or to avoid reloading them for another synthetic image.

Abstract: In various embodiments, before a data subject request can be processed, the data subject's identity may need to be verified. In various embodiments, the system provides a mechanism to automatically detect the type of authentication required for a particular data subject based on the type of Data Subject Access Request being made and automatically issues a request to the data subject to verify their identity against that form of identification. For example, a subject rights request might only require two types of authentication, but a deletion request may require four types of data to verify authentication. The system may automatically detect which is type of authentication is required based on the DSAR and send an appropriate request to the data subject to verify their identity.

Abstract: A method and system for optimizing backup and backup discovery operations using change based metadata tracking (CBMT). Specifically, the disclosed method and system entail eliminating the storage and subsequent transmission of redundant asset metadata information to a central coordination point during backup discovery operations, which may strain central coordination point resources, as well as client device resources. Accordingly, rather than re-sharing the same asset metadata information every time a backup discovery initiates, the client device tracks, maintains, and transmits only changes in asset metadata, thereby conserving resource utilization.