Patent classifications
G06V30/32
INK DATA MODIFICATION METHOD, INFORMATION PROCESSING DEVICE, AND PROGRAM THEREOF
An ink data modification or correction method, and an information processing device and a program for implementing the method are provided, which allow automatic correction of ink data including a spelling error in a handwritten character string. An ink data modification method according to the present disclosure includes determining a modification method of ink data by detecting a spelling error included in a handwritten character string represented by the ink data, and modifying the ink data by manipulating the ink data on the basis of the determined modification method. For example, the determined modification method may be to add a missing character, or to delete a superfluous character, or to correct a typo by replacing an erroneous character with a correct character.
Display, electronic device having the display, and method of estimating bio-information using the electronic device
A display includes a display portion formed of an array of unit pixels that each respectively include a light source pixel and a detector pixel. The display includes a control driver including a light source driver and a data driver which are respectively connected to each light source pixel, and a detector driver which is connected to each detector pixel. The display includes a controller configured to control the control driver to operate the display portion in a first mode, a second mode, and a third mode that are each different from each other.
Transformation of hand-drawn sketches to digital images
Techniques are disclosed for generating a vector image from a raster image, where the raster image is, for instance, a photographed or scanned version of a hand-drawn sketch. While drawing a sketch, an artist may perform multiple strokes to draw a line, and the resultant raster image may have adjacent or partially overlapping salient and non-salient lines, where the salient lines are representative of the artist's intent, and the non-salient (or auxiliary) lines are formed due to the redundant strokes or otherwise as artefacts of the creation process. The raster image may also include other auxiliary features, such as blemishes, non-white background (e.g., reflecting the canvas on which the hand-sketch was made), and/or uneven lighting. In an example, the vector image is generated to include the salient lines, but not the non-salient lines or other auxiliary features. Thus, the generated vector image is a cleaner version of the raster image.
Digital imaging of granular media in graphics applications
The subject matter of this specification can be implemented in, among other things, a method to display a graphical user interface (GUI) of a graphics application, receive a selection of a first granular medium tool (GMT), receive a first input associated with the first GMT, the first input comprising one or more first input values characterizing placement of a first amount of a granular medium (GM) on a virtual drawing canvas, access one or more settings of the first GMT, determine, using the one or more first input values and the one or more settings, a first spatial distribution of the first amount of the GM on the virtual drawing canvas, and display, on the GUI, a first image corresponding to the first spatial distribution of the first amount of the GM.
Digital imaging of granular media in graphics applications
The subject matter of this specification can be implemented in, among other things, a method to display a graphical user interface (GUI) of a graphics application, receive a selection of a first granular medium tool (GMT), receive a first input associated with the first GMT, the first input comprising one or more first input values characterizing placement of a first amount of a granular medium (GM) on a virtual drawing canvas, access one or more settings of the first GMT, determine, using the one or more first input values and the one or more settings, a first spatial distribution of the first amount of the GM on the virtual drawing canvas, and display, on the GUI, a first image corresponding to the first spatial distribution of the first amount of the GM.
HANDWRITTEN READING DEVICE, REPORT POINT DATA PROCESSING METHOD THEREOF, AND COMPUTER STORAGE MEDIUM
The present disclosure discloses a method for processing a report point data, a handwriting reading device and a computer storage medium. The method for processing the report point data includes: transmitting report point data associated with received handwriting to a display controller by a System on Chip; looking up a LUT table and acquiring a first waveform of driving an ink screen based on the report point data by the display controller; and driving the ink screen to display the handwriting using the first waveform by the display controller.
IMAGE COMPOSITION WITH MULTIPLE BLEND MODES
A method includes receiving a plurality of strokes for compositing on a content item and composing each stroke of the plurality of strokes into a respective stroke layer based on a blend mode associated with the respective stroke. The method further includes compositing the stroke layers composed from the plurality of strokes into a single layer and compositing the single layer on the content item.
Calculation practicing method, system, electronic device and computer readable storage medium
The disclosure provides a calculation practicing method, a system, an electronic device and a computer readable storage medium, the calculation practicing method includes: providing a calculation question; identifying the type and content of the calculation question; generating an answer area according to the type and content of the calculation question; receiving an answering operation in which the user inputs the answer string for the calculation question in the answer area; identifying the answer string inputted by the user; and determining whether each of the answer characters in the answer string is correct, if there is an incorrect answer character, it will be marked, so that the calculation practice can be realized through the electronic device, which is convenient for students to carry out training.
Utilizing machine learning models, position based extraction, and automated data labeling to process image-based documents
A device may receive image data that includes an image of a document and lexicon data identifying a lexicon, and may perform an extraction technique on the image data to identify at least one field in the document. The device may utilize form segmentation to automatically generate label data identifying labels for the image data, and may process the image data, the label data, and data identifying the at least one field, with a first model, to identify visual features. The device may process the image data and the visual features, with a second model, to identify sequences of characters, and may process the image data and the sequences of characters, with a third model, to identify strings of characters. The device may compare the lexicon data and the strings of characters to generate verified strings of characters that may be utilized to generate a digitized document.
Context based annotating in an electronic presentation system
A presentation system capable of detecting one or more gestures and contacts on a touch sensitive display. The presentation system can displaying indicia of such contacts, such as when a user writes with a fingertip, and can remove or alter such indicia responsive to other gestures and contacts. The system can accurately distinguish between types of gestures detected, such as between a writing gesture and an erasing gesture, on both large and small touch sensitive displays, thereby obviating the need for a user to make additional selective inputs to transition from one type of gesture to another. The system can determine how long to keep user annotations displayed during a presentation, based on the nature of the gesture used to make the annotations and the context in which they are made.