Abstract: Systems and methods for detecting changes in features, based on images of geographic regions of interest. One example computer-implemented method includes accessing, by a computing device, a plurality of images of a region of interest (ROI) and compiling, by the computing device, a temporal stack of images, which includes the plurality of images of the ROI arranged in temporal order over a period of time. The computer-implemented method also includes classifying, by the computing device, using semantic segmentation, pixels of each of the plurality of images into one of multiple feature classes, to define a segmentation raster, and performing, by the computing device, change point detection change point detection on a temporal stack of the segmentation rasters. The computer-implemented-method further includes identifying, by the computing device, a change in one of the multiple feature classes, based on the change point detection output.

Abstract: Methods and systems for avoiding buildings and other structures using semantic segmentation, the method including obtaining a plurality of image strips of a geographic location, identifying one or more structures that are present in one or more image strips, and generating one or more seamlines between adjacent image strips using a machine learning model. When two or more adjacent image strips include one or more structures, the method includes circumventing the one or more structures with the generated seamlines therebetween, wherein the generated one or more seamlines form a visual connection between the adjacent image strips.

Abstract: Systems and methods for automated detection of changes in extent of structures using imagery are disclosed, including a non-transitory computer readable medium storing computer executable code that when executed by a processor cause the processor to: align an outline of a structure at a first instance of time to pixels within an image depicting the structure, the image captured at a second instance of time; assess a degree of alignment between the outline and the pixels within the image depicting the structure, using a machine learning model to generate an alignment confidence score; determine an existence of a change in extent of the structure based upon the alignment confidence score indicating that the outline and the pixels within the image are not aligned; identify a shape of the change in extent of the structure; and store the shape of the change in extent of the structure.

Abstract: Systems and methods for automated detection of changes in extent of structures using imagery are disclosed, including a non-transitory computer readable medium storing computer executable code that when executed by a processor cause the processor to: align an outline of a structure at a first instance of time to pixels within an image depicting the structure, the image captured at a second instance of time; assess a degree of alignment between the outline and the pixels within the image depicting the structure, using a machine learning model to generate an alignment confidence score; determine an existence of a change in extent of the structure based upon the alignment confidence score indicating that the outline and the pixels within the image are not aligned; identify a shape of the change in extent of the structure; and store the shape of the change in extent of the structure.

Abstract: Systems and methods for automated detection of changes in extent of structures using imagery are disclosed, including a non-transitory computer readable medium storing computer executable code that when executed by a processor cause the processor to: align, with an image classifier model, an outline of a structure at a first instance of time to pixels within an image depicting the structure captured at a second instance of time; assess a degree of alignment between the outline and the pixels depicting the structure, so as to classify similarities between the structure depicted within the pixels of the image and the outline using a machine learning model to generate an alignment confidence score; and determine an existence of a change in the structure based upon the alignment confidence score indicating a level of confidence below a predetermined threshold level of confidence that the outline and the pixels within the image are aligned.

Abstract: Systems and methods for automated detection of changes in extent of structures using imagery are disclosed, including a non-transitory computer readable medium storing computer executable code that when executed by a processor cause the processor to: align, with an image classifier model, an outline of a structure at a first instance of time to pixels within an image depicting the structure captured at a second instance of time; assess a degree of alignment between the outline and the pixels depicting the structure, so as to classify similarities between the structure depicted within the pixels of the image and the outline using a machine learning model to generate an alignment confidence score; and determine an existence of a change in the structure based upon the alignment confidence score indicating a level of confidence below a predetermined threshold level of confidence that the outline and the pixels within the image are aligned.

Abstract: Systems and methods for automated detection of changes in extent of structures using imagery are disclosed, including a non-transitory computer readable medium storing computer executable code that when executed by a processor cause the processor to: align, with an image classifier model, a structure shape of a structure at a first instance of time to pixels within an aerial image depicting the structure captured at a second instance of time; assess a degree of alignment between the structure shape and the pixels, so as to classify similarities between the structure depicted within the pixels and the structure shape using a machine learning model to generate an alignment confidence score; and determine an existence of a change in the structure based upon the alignment confidence score indicating a level of confidence below a predetermined threshold level of confidence that the structure shape and the pixels within the aerial image are aligned.

Abstract: Systems and methods for automated detection of changes in extent of structures using imagery are disclosed, including a non-transitory computer readable medium storing computer executable code that when executed by a processor cause the processor to: align, with an image classifier model, a structure shape of a structure at a first instance of time to pixels within an aerial image depicting the structure captured at a second instance of time; assess a degree of alignment between the structure shape and the pixels, so as to classify similarities between the structure depicted within the pixels and the structure shape using a machine learning model to generate an alignment confidence score; and determine an existence of a change in the structure based upon the alignment confidence score indicating a level of confidence below a predetermined threshold level of confidence that the structure shape and the pixels within the aerial image are aligned.

Abstract: Described is a database audit system used to monitor, and optionally alert on database activity, providing a complete record of access to data and database structure. The data audit system may also provide an audit trail of data accesses and changes to database schema and permissions. A database audit may be performed by collecting data from database transaction logs and traces, exporting the collected data into a repository, and analyzing the data in the repository to create data audit reports and to provide data audit browsing capabilities.

Abstract: Described is a database audit system used to monitor, and optionally alert on database activity, providing a complete record of access to data and database structure. The data audit system may also provide an audit trail of data accesses and changes to database schema and permissions. A database audit may be performed by collecting data from database transaction logs and traces, exporting the collected data into a repository, and analyzing the data in the repository to create data audit reports and to provide data audit browsing capabilities.

Abstract: The invention relates to a system that provides telephonic communication over the Internet, and more particularly relates to an Internet telephony system that allows the user to select a service to handle the call, to choose a method of payment, and to call a party by ringing the party's standard telephone. When the user desires to place a call, the user receives rate quotes from candidate telephony servers and selects a telephony server, which connects the call to the receiving party's standard telephone. The selected telephony server handles payment for the call and provides the user with information regarding progress and cost of the call.