A method and system for detecting, segmenting, and extracting salient regions in documents by using attention tracking sensors is provided. The method includes: receiving an image that corresponds to a document; receiving, from a sensor, a sequence of measurements that correspond to a human reading of the document; determining, based on the sequence of measurements, at least one region of the document as being a salient document region; demarcating the salient document region in an electronically displayable manner; and outputting a file that includes a displayable version of the document with the demarcated document region. The salient document region may include a title, a section header, and/or a table. The sensor may be an eye-tracking sensor that detects a sequence of eye-gaze positions on the document as a function of time.

Methods, storage systems and computer program products implement embodiments of the present invention for protecting a computing device. These embodiments include detecting that an email is received by the computing device, the email including a Uniform Resource Locator (URL) for a web page in a first domain. The web page is retrieved from the domain, and a set of keywords are extracted from the retrieved web page. A query included the set of keywords is submitted to a search engine, and a response to the query is received from the search engine, the response indicating a set of second domain. Finally, in response to detecting that the first domain does not match any of the second domains, an alert for a phishing attack is generated.

Embodiments of the present disclosure provide a method, system and storage medium for generating a voucher. The method comprises: obtaining an original voucher; extracting key information of the original voucher; dividing the original voucher into at least one original voucher set based on the key information, the original voucher set including at least one original voucher of a first voucher type; and generating at least one target bookkeeping voucher corresponding to the at least one original voucher set.

A system for generating an advertisement is provided. The system may receive an advertisement request from a client device and select an advertisement from a database in response to the advertisement request. The system may identify an advertiser web server associated with the advertisement, for example a landing page. The system may retrieve a picture from the advertiser web server and integrate the picture with the advertisement to generate an enhanced advertisement. The system may serve the enhanced advertisement to the client device.

To speed up image processing, an obtaining means of an image processing system obtains a captured image of a document that includes a fixed part and an un-fixed part, where the document is captured by an image reader or an image capture device. A first shaping means shapes the captured image based on a feature of the document in a sample image and a feature of the document in the captured image so as to obtain a first shaped image. A detecting means detects a feature part of the fixed part from the first shaped image. A second shaping means shapes the first shaped image such that a position of the feature part detected by the detecting means is aligned with a predetermined position so as to obtain a second shaped image.

Keypoint extraction is done for extracting keypoints from images of documents. Based on different keypoint extraction approaches used by existing keypoint extraction mechanisms, number of keypoints extracted and related parameters vary. Disclosed herein is a method and system for keypoint extraction from images of one or more documents. In this method, a reference image and a test image of a document are collected as input. During the keypoint extraction, based on types of characters present in words extracted from the document images, a plurality of words are extracted. Further, all connected components in each of the extracted words are identified. Further, it is decided whether keypoints are to be searched in a first component or in a last component of all the identified connected components, and accordingly searches and extracts at least four of the keypoints from the test image and the corresponding four keypoints from the reference image.

Image-processing apparatus and methods to adaptively vary an interest point threshold value and control a number of interest points identified in an image frame are described. Sub-regions of an image frame may be processed in a sequence, and an interest point threshold value calculated for each sub-region. The calculated value of the interest point threshold may depend upon pre-selected values and values determined from the processing of one or more prior sub-regions. By using adaptive thresholding, a number of interest points detected for each frame in a sequence of image frames may remain substantially constant, even though objects within the frames may vary appreciably.

Image-processing apparatus and methods to adaptively control a size and/or location of a visual search window used for feature matching in a machine-vision system are described. A search window controller may receive motion vector data and image recognition rate data, and compute a search window size and/or search window location based on the received data. The computed search window size may be a portion of an image frame. The motion vector data and image recognition rate data may be computed from one or more images in a video image sequence. By adaptively controlling search window size and location, an appreciable reduction in data processing burden for feature matching may be achieved.

An electronic device for providing a corrected response message according to an utterance intention of a user by using a keyword included in an input inquiry input by the user, and an operation method of the electronic device are provided. The electronic device includes receiving the input inquiry input by the user, identifying a representative inquiry according to an utterance intention of the user by analyzing the input inquiry by using a natural language understanding (NLU) model, extracting a keyword from the input inquiry by comparing a vector value of a first embedding vector of the input inquiry changed through the NLU model with a vector value of a second embedding vector of the representative inquiry, and correcting a response message mapped to correspond to the representative inquiry, by using the extracted keyword.

The acquisition means acquires reader information and content information. The prompt generation means generates a prompt based on the reader information and the content information. The content editing means inputs the prompt into a large language model and acquire an output from the large language model as edited content.