Abstract: A disease-related processing section performs at least one of the calculation of an index value related to a stage of ulcerative colitis, the determination of the stage of the ulcerative colitis, or the determination of whether or not the ulcerative colitis has remitted, on the basis of the denseness of superficial blood vessels, intramucosal hemorrhage, and extramucosal hemorrhage obtained from a medical image.

Abstract: A method for cutting or extracting video clips from a video, including the audio content relevant to points of particular interest, and combining the same for instruction or training on particular points; a computing device applying the method extracts text information from the spoken audio content of a video to be cut and obtains multiple paragraph segmentation positions as candidates for inclusion in a desired and finished presentation by analyzing the information from text representing the spoken audio content, the analysis being carried out by a semantic segmentation model. Candidate items of text are obtained by isolating pieces of text according to the paragraph segmentation positions. Time stamps of the candidate text segments are acquired, and candidate video clips are obtained by cutting the video according to the acquired time stamps.

Abstract: A management system including at least one processor, wherein the processor is configured to acquire an image obtained by imaging a sample container containing a sample, recognize relevant information related to reliability of a test result related to the sample based on the image, and derive reliability information indicating the reliability of the test result related to the sample based on the recognized relevant information.

Abstract: An inspection apparatus includes: a hardware processor that: conducts an inspection on an image by comparing a scanned image with a correct image, the image being formed on paper in accordance with a print job, the scanned image being generated by reading the image, the correct image serving as a reference for the inspection of the image; and determines whether a page is a target for the inspection in accordance with a type of the paper on which the image will be formed according to print setting of the print job, wherein the hardware processor conducts the inspection on the image on a page that has been determined to be the target for the inspection by the hardware processor, and does not conduct the inspection on the image on a page that has been determined to not be the target for the inspection.

Abstract: The embodiments of the present disclosure disclose a method and apparatus for processing a mouth image. A specific embodiment of the method includes: obtaining a mouth image to be processed (201); inputting the mouth image into a pre-trained mouth detection model to obtain an output result information, wherein the output result information is used for representing a probability that a content displayed by a pixel point in the mouth image belongs to a class in a target class set (202), the target class set comprising at least one of a first class for representing teeth, a second class for representing mouth illumination, and a third class for representing lips; and processing the mouth image according to the output result information to obtain a processed mouth image (203). The method achieves pixel point-level processing of the mouth image.

Abstract: Embodiments described herein provide a flexible controllable summarization system that allows users to control the generation of summaries without manually editing or writing the summary, e.g., without the user actually adding or deleting certain information under various granularity. Specifically, the summarization system performs controllable summarization through keywords manipulation. A neural network model is learned to generate summaries conditioned on both the keywords and source document so that at test time a user can interact with the neural network model through a keyword interface, potentially enabling multi-factor control.

Abstract: A process of augmenting images of incident scenes with object descriptions retrieved from an audio stream. In operation, an electronic computing device detects an object of interest in an image captured corresponding to an incident scene and identifies an audio stream linked to an incident identifier of an incident that occurred at the incident scene. The electronic computing device then determines whether the audio stream contains an audio description of the detected object of interest. When it is determined that the audio stream contains the audio description of the detected object of interest, the electronic computing device generates a visual or audio prompt corresponding to the audio description of the detected object of interest and plays back the visual or audio prompt via a corresponding display or audio-output component communicatively coupled to the electronic computing device.

Abstract: Systems and techniques for producing image-based radiology reports including contextual cropping of image data and radiologist supplied notes and annotations are provided herein. Computer vision and natural language processing algorithms may enable processing of image data and language inputs to identify objects associated with annotations, aid in cropping the image data according to the annotations and object identification and in producing a final text and image laden report.

Abstract: Identifying documents that contain potential code words using a machine learning model. In some embodiments, a method may include receiving documents, identifying a first corpus and a second corpus in the documents, extracting a first set of word embeddings from the first corpus and a second set of word embeddings from the second corpus, generating a first vector space for the first set of word embeddings and a second vector space for the second set of word embeddings using a machine learning model, performing a vector rotation to improve alignment of the first set of word embeddings with the second set of word embeddings, identifying a word embedding in the first vector space that is not aligned with a corresponding word embedding in the second vector space as a potential code word, and identifying one or more documents that contain the potential code word in the first corpus.

Abstract: An image processing model generation method includes: inputting at least one training sample lesion image into an initial image processing model, the initial image processing model including a classification layer and a marking layer; calling the classification layer; calling the marking layer; obtaining a loss value of the at least one training sample lesion image in the initial image processing model; determining whether the loss value is within a preset range; if not, updating parameters of the initial image processing model, an image processing model with updated parameters being used as an initial image processing model in next training; and repeating above steps until the loss value is within the preset range.

Abstract: Provided is a memory-based reinforcement learning method and system capable of storing optional information in streaming data. A question-answering (QA) method using memory-based reinforcement learning method includes receiving, in an episodic memory reader (EMR), streaming data about an input context that is input from a user; analyzing, in the EMR, the received streaming data and storing preset semantic information used for QA in an external memory; and, in response to an input of a question front the user, determining, in a pretrained QA model, an answer to the input question based on semantic information stored in the external memory.

Abstract: A Natural Language Command system, which receives Natural Language Commands either over a voice system or over a text system. The commands are associated with the session, and thus can be modified.

Abstract: Systems and methods are provided herein for recording a portion of content of a sports game. A request to record the portion of the content, which specifies game clock time criteria, is received by user equipment. During transmission of the content, frames of the content including a game progress graphic are analyzed to determine time values representing progress points of the sports game. In response to determining that a first time value representing a first progress point of the sports game matches the game clock time criteria of the request, the user equipment begins to record the portion of the content. In response to determining that a second time value does not match the game clock time criteria of the request, the user equipment stops the recording of the portion of the content and stores the recorded portion of the content.

Abstract: A biometric imaging and biotelemetry (BIB) system is provided that may be configured to capture, analyze, and process qualitative and quantitative biomarker data acquired from the process of imaging individuals. The BIB system can rapidly measure facial and other body temperatures of a test subject, along with a plurality of other biometric parameters that may be compiled into a subject-specific health profile which, in turn, may provide insights into the wellness or illness of the individual. The BIB system captures biometric data by appropriately configured, multispectral, high resolution digital cameras and sensors. This data is then interconnected to data processing units that employ algorithms, artificial intelligence, and self-learning/deep learning to analyze and process data, render decisions, and manage actions via complex analytical methodologies. The BIB system provides essentially instantaneous analyses that give real-time insights into the wellness or illness of a test subject.

Abstract: A method comprises receiving an input of at least one image associated with an issue. In the method, text is extracted from the at least one image, and an intent is determined from the extracted text. The method further includes recommending a response to the issue based at least in part on the determined intent, and transmitting the recommended response to a user. The extracting, determining and recommending are performed at least in part using one or more machine learning models.

Abstract: The invention is drawn towards a method and apparatus for controlling a consumer based on motion detected in a data stream, comprising: receiving the data stream, extracting motion information from the image data, generating commands and parameters for the consumer according to the motion information and controlling the consumer according to the commands and parameters.

Abstract: Systems and methods for determining hint words that improve the accuracy of automated speech recognition (ASR) systems. Hint words are determined in the context of a user issuing voice commands in connection with a voice interface system. Terms are initially taken from most frequently occurring terms in operation of a voice interface system. For example, most frequently occurring terms that arise in electronic search queries or received commands are selected. Certain of these terms are selected as hint words, and the selected hint words are then transmitted to an ASR system to assist in translation of speech to text.

Abstract: Voice product search requests in a product catalog are improved by identifying search refinements versus new search requests and by applying filters of departments to identify sub-sets of the product catalog to search based on the search string. The systems and methods described herein provide for analysis of voice search data, identification of departments within a product catalog that may be applicable to the search request and the search refinement, limiting the scope of the search, matching the voice input to an attribute type, and performing the refinement on the search results.

Abstract: An image processing apparatus that performs print processing based on a job includes a reception unit configured to receive an operation performed by a user, a change unit configured to, in response to the reception unit receiving a predetermined operation, change a job on which the print processing is not yet completed to a suspended state, and a job control unit configured to, when detecting a logout event that causes a user who is logged into the image processing apparatus to log out of the image processing apparatus, resume at least one job and cancel a job or jobs that are not resumed by the job control unit selected from jobs changed by the change unit to be in the suspended state.

Abstract: A configuration is provided in which in a case where a user operation is performed on an image forming apparatus or a data processing apparatus while the image forming apparatus and the data processing apparatus are operating in cooperation with each other, the automatic clearing timers of both the apparatuses are reset.