Xerox Corporation

Conduent Business Services, LLC

Lina Fu

Raja Bala

Alvaro Enrique Gil

Phillip J Emmett

Michael Robert Furst

Lalit Keshav Mestha

Himanshu Madhu

Martin Sidney Maltz

Fritz F Ebner

Jing Zhou

Michael David Shepherd

Hengzhou Ding

Faming Li

James Michael Sanchez

Xuejin Wen

Connie F Purdum

Jinhui Yao

J Michael Sanchez

Dennis F Quebe, Jr

A method and a non-transitory computer readable medium for generating polygons within a geographic region that satisfy a query are disclosed. For example, the method extracts a plurality of nodes, a plurality of service providers and information associated with the plurality of nodes and the plurality of service providers of the geographic region from a geographic data source, creates a node table based on the information that was extracted, receives the query for one or more nodes having a predefined number of service providers within a travel budget, determines the one or more nodes from the node table that satisfy the query, and generates one or more generate polygons around the one or more nodes that satisfy the query within the geographic region.

Method and system for generating polygons within a geographic region that satisfy a query

A system creates an electronic file corresponding to a printed artifact by launching a video capture module that causes a mobile electronic device to capture a video of a scene that includes the printed artifact. The system analyzes image frames in the video in real time as the video is captured to identify a suitable instance. In one example, the suitable instance is a frame or sequence of frames that contain an image of a page or side of the printed artifact and that do not exhibit a page-turn event. In response to identification of the suitable instance, the system will automatically cause a photo capture module of the device to capture a still image of the printed artifact. The still image has a resolution that is higher than that of the image frames in the video. The system will save the captured still images to a computer-readable file.

Automatic mobile photo capture using video analysis

A method and device for aligning an image of a printed substrate using a mobile device. The method includes receiving, by an image capturing device, an image stream of a printed substrate; determining, by a processing device operably connected to the image capturing device, a location and a geometry of the printed substrate from the image stream; displaying, on a display operably connected to the processing device, the image stream; overlaying, by the processing device, at least a first visual marker onto the printed substrate as displayed in the image stream using the location and geometry; and instructing, by the processing device, a user of the mobile device to move the mobile device to align the mobile device and the printed substrate. The device includes the various hardware components configured to perform the method of aligning.

Mobile document capture assistance using augmented reality

A method of automatically identifying a border in a captured image may include capturing an image of a target by an image sensor of an electronic device, and, by one or more processors, processing the image to automatically detect a border of the target in the image by applying an automatic border detection method to the image. The method may include presenting the image of the target to a user via a display of the electronic device so that the presented image comprises a visual depiction of the detected border, receiving an adjustment of the border from the user, determining whether to update the default parameters based on the received adjustment, in response to determining to update the default parameters, determining one or more updated parameters for the automatic border detection method that are based on, at least in part, the received adjustment, and saving the updated parameters.

Methods and systems to adaptively detect object borders from electronic device images

A mobile electronic device application uses various hardware parameters for operation. The application leverages calibration data from other users to determine what the parameters should be for the particular device model on which the application is installed. The application queries a cloud-based data store by sending the model and a hardware-variable parameter to the data store. If a value for the parameter is available in the data store, the application will receive it from the data store and use it in operation. If the value is not available, the application will prompt the user to calibrate the application. The application will use the calibration results to identify a setting, and it will send the setting to the data store for use by other instances in which the application is installed on the same model device.

Method and system to configure mobile electronic device settings using remote data store analytics

A system creates an electronic file corresponding to a printed artifact by launching a video capture module that causes an imaging sensor of a mobile electronic device to capture a video of a scene that includes the printed artifact. The system analyzes image frames in the video in real time as the video is captured to identify a suitable instance. The suitable instance is a frame or sequence of frames that contains at least a portion of the printed artifact and that also satisfies one or more image quality criteria or other criteria. Upon identification of each suitable instance, the system will automatically cause a photo capture module of the device to capture a still image of the printed artifact. The still image has a resolution that is higher than that of the image frames in the video. The system will save the captured still images to a computer-readable file.

What is disclosed is a method for profile LUT construction which uses a cost function to provide improvements to one or more image quality attributes present in printed images while imposing constraints in terms of color accuracy and spectral response to achieve a color match under various illuminants. Image quality attributes are selected. A reference profile is selected. For each node, candidate recipes are found which reproduce L*a*b* colors within a threshold e. Recipes are pruned to a subset containing recipes where a spectral difference between a predicted spectra corresponding to N color levels and a reference reflectance spectra corresponding to a spectra of a recipe produced by the reference profile, is less than a threshold. A cost function is computed and a recipe identified which minimizes the cost for this node. The process repeats for all nodes to produce a new profile LUT.

Generating an image profile LUT for a N-color marking device via multi-objective cost minimization

What is disclosed is a method for determining a color solution which achieves color objectives for a color marking device involves performing the following. In one embodiment, N objectives of interest are identified for a color marking device and a N-dimensional Pareto Front is constructed which comprises a collection of color solutions which accommodates those objectives. The Pareto Front is constructed using an optimization process based upon printer models of the objectives. Color solutions can be at least one color recipe, or a combination of color recipes and process actuators. A target point is selected in an N-dimensional objective space based upon at least one user-selected preference. The target point is then mapped to a point on the Pareto Front. The mapping identifies one of the color solutions which, in turn, is used to generate a spot color for the device. The generated spot color achieves the user-selected preference.

Using a Pareto Frontier to find an optimal color solution for spot calibration

A method for processing black point compensation parameters for a color image to be printed so as to enhance image quality of the color image is provided. The method includes converting a received color image to a gray scale image; determining, using the received color image and the gray scale image, a performance attribute to estimate the effect of the black point compensation parameters on the image quality of the received color image, respectively; deriving a model to estimate relationships between the black point compensation parameters and the determined performance attribute; maximizing the performance attribute of the derived model so as to process the black point compensation parameters for the color image; and using the processed black point compensation parameters to construct output device profiles.

Method and system for optimizing black point compensation parameters

A device and method for estimating power consumption at a printing device. The device includes a processor and memory containing a set of instructions, the instructions configured to cause the device to perform the method. The method includes polling the printing device at a plurality of intervals over a first period of time and receiving a polling for at each of the plurality of intervals. The method further includes determining a page count difference between each poll and determining a timer count between each poll. An estimated energy consumption for the printing device is determined based upon the page count difference for each of the intervals and the timer count for each of the intervals. A total estimated energy is determined for the first period of time based upon the estimated energy consumption of the printing device for each of the intervals.

Method and device for accurately estimating power consumption

A method for processing black point compensation parameters for a color image to be printed so as to enhance image quality of the color image is provided. The method includes analyzing image content of a received color image to identify one or more performance attributes to be considered during a black point compensation parameters processing procedure, the performance attributes estimate an effect of the black point compensation parameters on the image quality of the received color image; selecting, based on the identified performance attributes, a black point compensation (BPC) algorithm to be used during the processing procedure; deriving a model using the identified performance attribute that is configured to estimate relationships between the black point compensation parameters and the identified performance attribute; maximizing the performance attribute of the derived model so as to process the BPC parameters for the color image; and using the processed black point compensation parameters to construct output device profiles.

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Fairport, NY, United States of America

Lina Fu