Patent application number | Description | Published |
20100005485 | ANNOTATION OF VIDEO FOOTAGE AND PERSONALISED VIDEO GENERATION - A method of annotating footage that includes a structured text broadcast stream, a video stream and an audio stream, the method includes the steps of: extracting directly or indirectly one or more keywords and/or features from at least said structured text broadcast streams, temporally annotating said footage with said keywords and/or features analysing temporally adjacent annotated keywords and/or features to determine information about one or more events within said footage. Also provided are: a data store for storing video footage, a method of generation of a personalised video summary, a system for annotating footage and a system for generation of a personalised video summary. | 01-07-2010 |
20100254596 | METHOD AND SYSTEM FOR GENERATING AN ENTIRELY WELL-FOCUSED IMAGE OF A LARGE THREE-DIMENSIONAL SCENE - A method and system for generating an entirely well-focused image of a three-dimensional scene. The method comprises the steps of a) learning a prediction model including at least a focal depth probability density function (PDF), h(k), for all depth values k, from historical tiles of the scene; b) predicting the possible focal surfaces in subsequent tiles of the scene by applying the prediction model; c) for each value of k, examining h(k) such that if h(k) is below a first threshold, no image is acquired at the depth k′ for said one tile; and if h(k) is above or equal to a first threshold, one or more images are acquired in a depth range around said value of k for said one tile; and d) processing the acquired images to generate a pixel focus map for said one tile. | 10-07-2010 |
20110091083 | AUTOMATIC CUP-TO-DISC RATIO MEASUREMENT SYSTEM - A two-dimensional retinal fundus image of the retinal fundus of an eye is processed by optic disc segmentation ( | 04-21-2011 |
20110282897 | METHOD AND SYSTEM FOR MAINTAINING A DATABASE OF REFERENCE IMAGES - A method and system for maintaining a database of reference images, the database including a plurality of sets of images, each set associated with one location or object. The method comprises the steps of identifying local features of each set of images; determining distances between each local feature of each set and the local features of all other sets; identifying discriminative features of each set of images by removing local features based on the determined distances; and storing the discriminative features of each set of images. | 11-17-2011 |
20120155726 | METHOD AND SYSTEM OF DETERMINING A GRADE OF NUCLEAR CATARACT - A method for determining a grade of nuclear cataract in a test image. The method includes: (1a) defining a contour of a lens structure in the test image, the defined contour of the lens structure comprising a segment around a boundary of a nucleus of the lens structure; (1b) extracting features from the test image based on the defined contour of the lens structure in the test image; and (1c) determining the grade of nuclear cataract in the test image based on the extracted features and a grading model. | 06-21-2012 |
20120230564 | OBTAINING DATA FOR AUTOMATIC GLAUCOMA SCREENING, AND SCREENING AND DIAGNOSTIC TECHNIQUES AND SYSTEMS USING THE DATA - A non-stereo fundus image is used to obtain a plurality of glaucoma indicators. Additionally, genome data for the subject is used to obtain genetic marker data relating to one or more genes and/or SNPs associated with glaucoma. The glaucoma indicators indicators and genetic marker data are input into an adaptive model operative to generate an output indicative of a risk of glaucoma in the subject. In combination, the genetic indicators and genome data are more informative about the risk of glaucoma than either of the two in isolation. The adaptive model may be a two-stage model, having a first stage in which individual genetic indicators are combined with respective portions of the genome data by first adaptive model modules to form respective first outputs, and a second stage in which the first outputs are combined by a second adaptive mode. Texture analysis is performed on the fundus images to classify them based on their quality, and only images which are determined to meet a quality criterion are subjected to an analysis to determine if they exhibit glaucoma indicators. Also, the images are put into a standard format. The system may include estimating the position of the optic cup by combining results from multiple optic cup segmentation techniques. The system may include estimating the position of the optic disc by applying edge detection to the funds image, excluding edge points that are unlikely to be optic disc boundary points, and estimating the position of an optic disc by fitting an ellipse to the remaining edge points. | 09-13-2012 |
20140003723 | Text Detection Devices and Text Detection Methods | 01-02-2014 |
20160100753 | OBTAINING DATA FOR AUTOMATIC GLAUCOMA SCREENING, AND SCREENING AND DIAGNOSTIC TECHNIQUES AND SYSTEMS USING THE DATA - A non-stereo fundus image is used to obtain a plurality of glaucoma indicators. Additionally, genome data for the subject is used to obtain genetic marker data relating to one or more genes and/or SNPs associated with glaucoma. The glaucoma indicators and genetic marker data are input into an adaptive model operative to generate an output indicative of a risk of glaucoma in the subject. In combination, the genetic indicators and genome data are more informative about the risk of glaucoma than either of the two in isolation. The adaptive model may be a two-stage model, having a first stage in which individual genetic indicators are combined with respective portions of the genome data by first adaptive model modules to form respective first outputs, and a second stage in which the first outputs are combined by a second adaptive mode. Texture analysis is performed on the fundus images to classify them based on their quality, and only images which are determined to meet a quality criterion are subjected to an analysis to determine if they exhibit glaucoma indicators. Also, the images are put into a standard format. The system may include estimating the position of the optic cup by combining results from multiple optic cup segmentation techniques. The system may include estimating the position of the optic disc by applying edge detection to the funds image, excluding edge points that are unlikely to be optic disc boundary points, and estimating the position of an optic disc by fitting an ellipse to the remaining edge points. | 04-14-2016 |