Abstract: A method of verifying a device location includes receiving a provisional location for a first device, setting a baseline location confidence value for the provisional location, determining a first network environment of the first device, and receiving one or more location reports each including a location for another device in the first network environment. For each received location report, the location in the location report is compared with the provisional location of the first device and a distance is calculated; and an adjustment to the location confidence value of the first device is calculated based on the calculated distance. An output location confidence value is generated for the provisional location of the first device based on the baseline location confidence value and the adjustment calculated for each received location report.

Abstract: A computer implemented method for image verification comprises receiving, by a processor, a plurality of image frames, comprising at least one test frame and one or more control frames; mapping, by the processor, each image frame onto a hue-saturation colour space; generating, based on the mapped image frames, a colour distribution for each image frame; calculating, by the processor, a correlation between the colour distributions generated for the at least one test frame and the one or more control frames; and generating, by the processor for output to a user, a verification output based on the calculated correlation.

Abstract: A computer implemented method for image verification comprises receiving, by a processor, a plurality of image frames, comprising at least one test frame and one or more control frames; mapping, by the processor, each image frame onto a hue-saturation colour space; generating, based on the mapped image frames, a colour distribution for each image frame; calculating, by the processor, a correlation between the colour distributions generated for the at least one test frame and the one or more control frames; and generating, by the processor for output to a user, a verification output based on the calculated correlation.

Abstract: A system and method is disclosed for detecting whether a photograph is of a flat surface, e.g. a “photograph of a photograph”, or of a real three dimensional scene. The method includes using a digital camera to take a photograph, and within a predetermined time period either before or after taking the photograph, recording focal length information from a plurality of focus areas using the autofocus routine of the digital camera. The recorded focal length information forms the input to a machine learning classifier which has been trained to classify scenes as “flat” or “3D”.

Abstract: A system and method is disclosed for detecting whether a photograph is of a flat surface, e.g. a “photograph of a photograph”, or of a real three dimensional scene. The method includes using a digital camera to take a photograph, and within a predetermined time period either before or after taking the photograph, recording focal length information from a plurality of focus areas using the autofocus routine of the digital camera. The recorded focal length information forms the input to a machine learning classifier which has been trained to classify scenes as “flat” or “3D”.

Abstract: Photographs can sometimes be altered or changed in order to create photographs which appear to be of a scene which never took place, or did not take place at the place and time when the photograph is purported to have been taken. One way of circumventing known systems to detect this sort of falsified image is to take a photograph of a printed altered image. The present invention is a method of detecting such “photographs of photographs” by comparing two photographs of the same seen taken at the same time, with different exposures.

Abstract: Photographs can sometimes be altered or changed in order to create photographs which appear to be of a scene which never took place, or did not take place at the place and time when the photograph is purported to have been taken. One way of circumventing known systems to detect this sort of falsified image is to take a photograph of a printed altered image. The present invention is a method of detecting such “photographs of photographs” by comparing two photographs of the same seen taken at the same time, with different exposures.