Hewlett-packard Development Company, L.p.

Ayelet Pnueli

Omer Barkol

Sagi Schein

Michael Pogrebisky

Ruth Bergman

Mani Fischer

Ron Maurer

Doron Shaked

Renato Keshet

Dror Kella

Eyal Shelef

Ilan Shufer

Gitit Ruckenstein

Tsafrir Yedid Am

Alexei Ledenev

Lior Katz

Marianne Hickey

Nitsan Amichai

Inbal Tadeski

Vitali Greenberg

Avi Schori

Ami Shiff

Avner Arnstein

Alexei Lenedev

Systems, methods, and other embodiments associated with graphical user interface (GUI) component classification are described. One example method includes generating a first vector. The first vector may be generated based on image data describing a GUI component. The example method may also include assigning a GUI component classifier to the GUI component. Assigning the GUI component classifier may comprise comparing the first vector to members of a vector set. Members of the vector set may describe GUI elements. The example method may also include providing the GUI component classifier.

Graphical user interface component classification

A signal from a system, such as a reactive system, that reflects health indicators of the system may be selected. A signal analyzer may extract the health indicators from the signal and conduct a diagnostics of the health of the system based on the health indicators.

Analysis of health indicators of a system

Systems, methods, and other embodiments associated with graphical user interface (GUI) component identification are described. One example method includes identifying a set of GUI components. The identifying may be based on a screen image of a GUI. The screen image may comprise data describing a visual representation of the GUI. The example method may also include providing data identifying the set of GUI components.

Graphical user interface component identification

A computer can display a graphical user interface (GUI) that includes a control. The GUI can receive text instructions in a natural language that describe a location of the control on the GUI. The text instructions can instruct an application to perform a user interface (UI) event on the control.

Natural language text instructions

Method embodiments of the present invention provide for semi-automated or fully automated assessment of the quality of device-rendered text, including graphical symbols, characters, and other printable or displayable patterns. Method embodiments of the present invention employ one or more metrics that involve the comparison of input characters, including text characters, symbols, and character-like graphics, with corresponding digital output characters obtained by capturing images of characters rendered by a character-rendering device. The one or more metrics include individual computed relative entropy APQi metrics, reflective of differences in character-to-character distance distributions between one input character c, and the set of input characters c*, a cumulative computed relative entropy APQ, stroke irregularity, contrast measure, sharpness, and background uniformity. These individual metrics can be computed and stored separately as well as output to a user of a character-rendering-quality measurement system, or may be combined together in various ways to produce one or more comprehensive, cumulative metrics for storage and output.

Method and system for measuring text-rendering quality

Systems, methods, and other embodiments associated with graphical user interface input element identification are described. One example system identifies a graphical user interface (GUI) element through which an input to an application was received based on comparing images generated from data provided by the application. Data that describes the GUI element may then be provided.

Graphical user interface input element identification

A method is provided for decoupling the control of dot gain and optical density in electrophotographic based printing by varying the exposure level for each dot in an image.

Electrographic dot gain and optical density decoupling method, xerographic image reproduction, and systems, methods and software related thereto

A method comprises receiving a focusing image and shifting the focusing image to obtain a shifted focusing image. In the method, a focus metric of the focusing image is calculated from the focusing image and the shifted focusing image, where the focus metric is configured for use as a factor in making an automatic focus adjustment determination. An automatic focusing apparatus includes a controller configured to implement the method.

Method and apparatus for calculating a focus metric

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Haifa, Israel

Ayelet Pnueli