Abstract: A method, apparatus, and product comprising: loading a webpage at a Content Management System (CMS) platform, the page comprising page elements presenting manually curated content; executing a policy editor displaying management tools configured for defining a webpage policy that assigns to each page element an editorial control level selected from a manually curated control level, a manually curated de-duplication control level, and a personalized control level; incorporating code representing the webpage policy into the webpage; and publishing the webpage for execution on end devices, wherein execution of the code causes replacement of manually curated content with personalized content items from a third-party content discovery server based on assigned control levels and constraints preventing content duplication within the webpage.

Abstract: A method, apparatus, and product comprising: loading a webpage at a Content Management System (CMS) platform, the webpage comprising a plurality of page elements presenting manually curated content; executing a policy editor displaying management tools including a verification tool for defining a webpage policy to manage and customize presentation of multiple content items according to dedicated tags; incorporating code representing the webpage policy into the webpage to obtain a modified webpage; and publishing the modified webpage to be available to one or more end devices of end users for executing the code of the webpage policy and enabling automated replacements of the manually curated content with alternative content items according to the dedicated tags.

Abstract: A method for personalizing webpage content includes receiving a webpage from a Content Management System (CMS) at a client device. The webpage includes content items from the CMS repository, with some items indicated as hand-curated and others as replaceable. The client device identifies replaceable content items and obtains new content items from a CMS-agnostic personalization system. New content items may be selected based on computed user affinity levels. The client device replaces the replaceable content items with the new content items, generating a personalized webpage that includes both hand-curated and personalized content.

Abstract: A method comprising receiving, by a client device, a webpage from a Content Management System (CMS) with sections arranged in a pre-defined layout. A personalization request to a personalization system is issued. A new content items is received and is used to replace existing items in the webpage. Layout personalization is determined based on computed user affinity levels to both new and non-replaced content. The layout personalization is implemented by modifying the pre-defined layout to a different arrangement of sections, creating a modified layout that differs from the original.

Abstract: A method and system for implementing a machine-learning (ML) based function may include providing a NN model comprising a plurality of NN parameters; training the NN model over a plurality of training epochs, to implement a predefined ML function, based on a training dataset; for one or more NN parameters of the plurality of NN parameters: (i) calculating a profile vector, representing evolution of the NN parameter through the plurality of training epochs; and (ii) calculating an approximated value of the at least one NN parameter, based on the profile vector; and replacing at least one NN parameter value in the trained NN model with a respective calculated approximated value, to obtain an approximated version of the trained NN model.

Abstract: A method comprising: receiving an image of a scene, segmenting the image into a plurality of segments, obtaining at least one depth sample from each of at least some of the segments, and with respect to each of the at least some of the segments, assigning a value of the depth sample to each pixel in the segment, to create a depth image of the image.

Abstract: A submersible vehicle comprising: an image sensor; a first illuminator; at least one hardware processor operatively coupled with said image sensor and first illuminator, and the at least one hardware processor being configured to: acquire a first image of a scene inside a medium, when there is no object along the line-of-sight (LOS), under illumination from a first location or orientation, acquire a second image of the scene inside the medium, when there is no object along the LOS, under illumination from a second, different location or orientation, and compute attenuation coefficients, one per color channel, based on backscatter in the first and second images.

Abstract: A submersible vehicle comprising: an image sensor; a first illuminator; at least one hardware processor operatively coupled with said image sensor and first illuminator, and the at least one hardware processor being configured to: acquire a first image of a scene inside a medium, when there is no object along the line-of-sight (LOS), under illumination from a first location or orientation, acquire a second image of the scene inside the medium, when there is no object along the LOS, under illumination from a second, different location or orientation, and compute attenuation coefficients, one per color channel, based on backscatter in the first and second images.

Abstract: A method comprising acquiring a first image of a scene inside a medium, under illumination from a first location or orientation. The method comprises an action of acquiring a second image of the scene inside the medium, under illumination from a second, different location or orientation. The method comprises an action of computing attenuation coefficients, one per color channel, based on backscatter in the first and second images.

Abstract: A method comprising: receiving an image of a scene, segmenting the image into a plurality of segments, obtaining at least one depth sample from each of at least some of the segments, and with respect to each of the at least some of the segments, assigning a value of the depth sample to each pixel in the segment, to create a depth image of the image.

Abstract: A method comprising acquiring a first image of a scene inside a medium, under illumination from a first location or orientation. The method comprises an action of acquiring a second image of the scene inside the medium, under illumination from a second, different location or orientation. The method comprises an action of computing attenuation coefficients, one per color channel, based on backscatter in the first and second images.

Abstract: A method includes obtaining a boundary condition estimate. The boundary condition estimate includes at least an estimated outlet resistance of a vessel with a stenosis. The method further includes correcting the boundary condition estimate based on a severity of the stenosis, thereby creating a corrected boundary condition. The method further includes determining an FFR index based on the corrected boundary condition. The method further includes displaying the FFR index. A computing system includes a computer readable storage medium with instructions that iteratively determine at least an FFR index based on a severity of a stenosis of a vessel. The computing system further includes a computer processor that processes the instructions and generates the FFR index based on the severity of the stenosis of the vessel.

Abstract: A method includes at least a portion of an image displayed on a video screen or film, and generating a signal indicative thereof, wherein the at least a portion of the image includes encoded information identifying at least one of a visualization tool or information that are not available without the encoded information, identifying and reading the encoded information, and at least one of invoking the visualization tool or displaying the information identified and read from the encoded information.

Abstract: As described herein, an unknown FFR is classified based on certain extracted features. In addition, an estimation of the unknown FFR can be determined based on certain extracted features. Furthermore, a confidence interval can be determined for the estimated FFR. In another instance, boundary conditions for determining an FFR via simulation are determined. The boundary conditions can be used to classify the unknown FFR.

Abstract: A depth camera computing device is provided, including a depth camera and a data-holding subsystem holding instructions executable by a logic subsystem. The instructions are configured to receive a raw image from the depth camera, convert the raw image into a processed image according to a weighting function, and output the processed image. The weighing function is configured to vary test light intensity information generated by the depth camera from a native image collected by the depth camera from a calibration scene toward calibration light intensity information of a reference image collected by a high-precision test source from the calibration scene.

Abstract: A method includes at least a portion of an image displayed on a video screen or film, and generating a signal indicative thereof, wherein the at least a portion of the image includes encoded information identifying at least one of a visualization tool or information that are not available without the encoded information, identifying and reading the encoded information, and at least one of invoking the visualization tool or displaying the information identified and read from the encoded information.

Abstract: As described herein, an unknown FFR is classified based on certain extracted features. In addition, an estimation of the unknown FFR can be determined based on certain extracted features. Furthermore, a confidence interval can be determined for the estimated FFR. In another instance, boundary conditions for determining an FFR via simulation are determined. The boundary conditions can be used to classify the unknown FFR.

Abstract: An embodiment of the invention provides a time of flight 3D camera comprising a photosensor having a plurality of pixels that generate and accumulate photoelectrons responsive to incident light, which photosensor is tiled into a plurality of super pixels, each partitioned into a plurality of pixel groups and a controller that provides a measure of an amount of light incident on a super pixel responsive to quantities of photoelectrons from pixel groups in the super pixel that do not saturate a readout pixel comprised in the photosensor.

Abstract: A method includes obtaining a boundary condition estimate. The boundary condition estimate includes at least an estimated outlet resistance of a vessel with a stenosis. The method further includes correcting the boundary condition estimate based on a severity of the stenosis, thereby creating a corrected boundary condition. The method further includes determining an FFR index based on the corrected boundary condition. The method further includes displaying the FFR index. A computing system includes a computer readable storage medium with instructions that iteratively determine at least an FFR index based on a severity of a stenosis of a vessel. The computing system further includes a computer processor that processes the instructions and generates the FFR index based on the severity of the stenosis of the vessel.

Abstract: Compatibility between a depth image consumer and a plurality of different depth image producers is provided by receiving a native depth image having unsupported depth camera parameters that are not compatible with a depth image consumer, and converting the native depth image to a virtual depth image having supported virtual depth camera parameters that are compatible with the depth image consumer. This virtual depth image is then output to the depth image consumer.