Abstract: Systems and methods to generate clusters of media objects (e.g., photos) that are associated with geolocation information (e.g., GPS data, folder name, file name, other metadata) and without geolocation information so that the media objects in a media library without geolocation information can be given location data in an automated user approved system. An approval system of visual overlays on a graphical user interface (GUI) lets users approve the proposed geolocation clusters and approve or reject the geolocation proposals individually or as a group. The resulting approved clusters may then be tagged with geolocation information (e.g., GPS coordinates, city, state, country) and may then be automatically organized in a number of ways, including but not limited to, by location, on a calendar, on a map, etc.

Abstract: Systems and methods to generate visual overlays on a graphical user interface (GUI) based calendar which is viewable according to numerous views, such as a month view, year view, decade view, etc. The calendar may be associated with a library (“media library”) of various objects (e.g., images, videos, music, documents) stored across one or more storage devices. The system may generate a date-range overlay in which the user creates a query, or may generate an autonomously extracted overlay from a container of media objects. The system autonomously extracts date(s) from media files in the container or query result and generates an overlay on the calendar which corresponds to the autonomously extracted date(s) of the files in the container or query. The generated overlay may be displayed on the calendar as a single date-range overlay or as individual overlays associated with each media object in the container or query.

Abstract: Systems and methods to generate visual overlays on a graphical user interface (GUI) based calendar which is viewable according to numerous views, such as a month view, year view, decade view, etc. The calendar may be associated with a library (“media library”) of various objects (e.g., images, videos, music, documents) stored across one or more storage devices. The system may generate a date-range overlay in which the user creates a query, or may generate an autonomously extracted overlay from a container of media objects. The system autonomously extracts date(s) from media files in the container or query result and generates an overlay on the calendar which corresponds to the autonomously extracted date(s) of the files in the container or query. The generated overlay may be displayed on the calendar as a single date-range overlay or as individual overlays associated with each media object in the container or query.

Abstract: Systems and methods for providing data replication and/or synchronization across multiple processor-based devices. Data objects (e.g., image files, video files, audio files) may exist in a plurality of forms (e.g., original, preview, thumbnail). The systems and methods utilize object device links (ODLs) and needs/has flags which are replicated to multiple processor-based devices to provide partial or full object replication between multiple processor-based devices. Some implementations provide complete replica backups of objects. Some implementations provide temporary protection of original forms of objects, for example, when a user is traveling. Some implementations provide for relaying and shuttling of objects across multiple devices via one or more networks and/or via peer-to-peer wired or wireless communications also allowing for offsite and remote location backup of objects. Some implementations provide support for container and individual object replication policies with inheritance.

Abstract: Systems and methods for processing an image through an ordered series of image filters (i.e., an image filter chain) to produce an output image. The systems and methods of the present disclosure function to partition or break-up an image into dynamically sized tiles which are processed efficiently (e.g., using minimal memory), quickly and on-demand. The systems and methods allow tile sizes to be calculated dynamically based on what each image filter in an image filter chain needs. By processing each tile on-demand, significant memory and time savings are achieved because only the parts of an image required for display are processed. Further, such functionality allows for decoding of only a portion of the image, which requires less memory and operates much faster than if the entire image was decoded.