A method for dynamic notification management at a head mounted display (HMD) includes presenting, at the HMD, an augmented reality display, receiving, at a processor controlling the HMD, a notification from an application for display at the HMD, receiving, at the processor at a first time, first sensor data from one or more of a camera or a microphone, determining, based on the first sensor data, a first value of one or more factors associated with a probability that a user of the HMD is currently in a real-world conversation, determining an importance value of the received notification at the first time, and determining whether to display the notification from the application based on a comparison of the first value of the one or more factors associated relative to the importance value of the received notification.

A method for dynamic notification management at a head mounted display (HMD) includes presenting, at the HMD, an augmented reality display, receiving, at a processor controlling the HMD, a notification from an application for display at the HMD, receiving, at the processor at a first time, first sensor data from one or more of a camera or a microphone, determining, based on the first sensor data, a first value of one or more factors associated with a probability that a user of the HMD is currently in a real-world conversation, determining an importance value of the received notification at the first time, and determining whether to display the notification from the application based on a comparison of the first value of the one or more factors associated relative to the importance value of the received notification.

A contextual filter system configured to perform operations that include, capturing an image frame at a client device, wherein the image frame includes a depiction of an object, identifying an object category of the object based on the depiction of the object within the image frame, accessing media content associated with the object category within a media repository, generating a presentation of the media content, and causing display of the presentation of the media content within the image frame at the client device.

A contextual filter system configured to perform operations that include, capturing an image frame at a client device, wherein the image frame includes a depiction of an object, identifying an object category of the object based on the depiction of the object within the image frame, accessing media content associated with the object category within a media repository, generating a presentation of the media content, and causing display of the presentation of the media content within the image frame at the client device.

Managing an image storage space is provided. A number of processor units identifies a benchmark image in a similar images group. A number of other images not identified in the similar images group as the benchmark image is a set of similar images. The number of processor units creates an image mapping tree. The image mapping tree has a root block for the benchmark image and blocks arranged in a set of layers below the root block based on the set of similar images; the blocks represent portions of the benchmark image; and a plurality of lower blocks in the blocks in a lower layer correspond to subdivisions in an upper block in the blocks in an upper layer. The number of processor units stores a set of selected blocks in the set of similar images that have differences from a set of corresponding blocks in image mapping tree for the benchmark image. The number of processor units store metadata for the set of selected blocks that describes set of paths in the image mapping tree from the set of corresponding blocks in the image mapping tree to the root block.

Managing an image storage space is provided. A number of processor units identifies a benchmark image in a similar images group. A number of other images not identified in the similar images group as the benchmark image is a set of similar images. The number of processor units creates an image mapping tree. The image mapping tree has a root block for the benchmark image and blocks arranged in a set of layers below the root block based on the set of similar images; the blocks represent portions of the benchmark image; and a plurality of lower blocks in the blocks in a lower layer correspond to subdivisions in an upper block in the blocks in an upper layer. The number of processor units stores a set of selected blocks in the set of similar images that have differences from a set of corresponding blocks in image mapping tree for the benchmark image. The number of processor units store metadata for the set of selected blocks that describes set of paths in the image mapping tree from the set of corresponding blocks in the image mapping tree to the root block.

Methods and systems for rending medical images within a web browser application. The web browser application retrieves a worklist and automatically determines an image study from the worklist to be cached. The web browser application retrieves at least one medical image included in the image study. The web browser application creates a web database for storing the at least one medical image within the browser application. When a user selects a medical image for display within the web browser, the web browser application determines whether the medical image is stored in the web database. When the medical image is stored in the web database, the web browser application retrieves the medical image from the web database. When the medical image is not stored in the web database, the web browser application retrieves the medical image from a remote image repository.

Methods and systems for rending medical images within a web browser application. The web browser application retrieves a worklist and automatically determines an image study from the worklist to be cached. The web browser application retrieves at least one medical image included in the image study. The web browser application creates a web database for storing the at least one medical image within the browser application. When a user selects a medical image for display within the web browser, the web browser application determines whether the medical image is stored in the web database. When the medical image is stored in the web database, the web browser application retrieves the medical image from the web database. When the medical image is not stored in the web database, the web browser application retrieves the medical image from a remote image repository.

Techniques to store graph information in a database are disclosed. In various embodiments, each node in a graph may be modeled as a micro b-tree. Node identity, attribute, edge, and edge attribute data may be stored in one or more pages modeled on page formats typically used to store index data for a relational database index. Data associated with a plurality of nodes and edges, each of said edges representing a relationship between two or more of said nodes, may be received. For each node, one or more pages of data may be created, each corresponding to a prescribed page size associated with a storage device in which said one or more pages are to be stored, and each page having a data structure that includes a variable-sized set of fixed length data slots and a variable-sized variable length data region.

Techniques to store graph information in a database are disclosed. In various embodiments, each node in a graph may be modeled as a micro b-tree. Node identity, attribute, edge, and edge attribute data may be stored in one or more pages modeled on page formats typically used to store index data for a relational database index. Data associated with a plurality of nodes and edges, each of said edges representing a relationship between two or more of said nodes, may be received. For each node, one or more pages of data may be created, each corresponding to a prescribed page size associated with a storage device in which said one or more pages are to be stored, and each page having a data structure that includes a variable-sized set of fixed length data slots and a variable-sized variable length data region.