International Business Machines Corporation

Benq Corporation

Ching-Chun Liu

Yu-Siang Chen

Ryan Young

Ting-Chieh Yu

Joey H Y Tseng

Cheng-Fang Lin

Yu-siang Chen

Ci-Wei Lan

Chiwen Chang

Tsai-Hsuan Hsieh

Tao-Hung Jung

Amanda P L Yang

Chien-Jui Wang

Peter Wu

Yung-Chuan Ma

Norman Kung

Tzu-Chen Chao

Kate Lin

Chih-Chiang Hung

Sheng-hsiang Lin

Amanda Pl Yang

Allison Yu

A method, computer system, and a computer program product for processing digital content is provided. The present invention may include building a sensitive sentence classification model. The present invention may include receiving a digital content, wherein the digital content is intended for one or more groups of content consumers. The present invention may include processing the digital content using the sensitive sentence classification model. The present invention may include generating a consumer specific digital content for each of the one or more groups of content consumers.

Automatic processing of meetings for confidential content

A computer-implemented method for generating a custom thumbnail is disclosed. The computer-implemented method includes segmenting an audio file into one or more audio segments based, at least in part, on a respective context associated with each of the one or more audio segments. The computer-implemented method further includes selecting an initial thumbnail image based, at least in part, on one or more contexts associated with the one or more audio segments. The computer-implemented method further includes generating a customized thumbnail image based, at least in part, on performing a neural style transfer of the initial thumbnail image and a style reference image.

Generating personalized digital thumbnails

A method, computer program product, and computer system for public speaking guidance is provided. A processor retrieves speaker data regarding a speech made by a user. A processor separates the speaker data into one or more speaker modalities. A processor extracts one or more speaker features from the speaker data for the one or more speaker modalities. A processor generates a performance classification based on the one or more speaker features. A processor sends to the user guidance regarding the speech based on the performance classification.

Multimodal neural network for public speaking guidance

A computer-implemented method according to one embodiment includes running an initial network on a plurality of images to detect actors pictured therein and body joints of the detected actors. The method further includes running fully-connected networks in parallel, one fully-connected network for each of the detected actors, to reconstruct complete three-dimensional poses of the actors. Sequential model fitting is performed on the plurality of images. The sequential model fitting is based on results of running the initial network and the fully-connected networks. The method further includes determining, based on the sequential model fitting, a locational position for a camera in which the camera has a view of a possible point of collision of two or more of the actors. The camera is instructed to be positioned in the locational position.

Determination of a locational position for a camera to capture a collision of two or more actors

Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving a request, dynamically generate a composite application that includes one or more micro applications based, at least in part, on a user's intention.

Microapplication composition

A live stream, that includes a video stream and an audio stream, of a presenter is monitored. The live stream is attended by an audience that includes one or more audience members. One or more stream content features of the live stream at a first window of time is transmitted to a multimodal machine learning model. One or more audience content features of the audience at the first window of time is transferred to the multimodal model. One or more feature results, based on the stream content features and based on the audience content features, of the first window of time is obtained from the multimodal model. The feature results are sent to an auditory machine learning model. A first audio signal from the auditory machine learning model is received. An augmented stream of the first window of time is generated based on the first audio signal.

Audio customization in streaming environment

Computer technology for sending an image a device to be authenticated. The image is designed to be classified to a first category by an image classifier, and the first category is different from a nature category of the image. A response message can be received from the device. The response message indicates a second category of the image determined by the device. Then, the device is determined to be an authorized device in response to the second category being consistent with the first category.

Authentication based on image classification

In an approach to detecting the transmission of messages, analyzing said messages, calculating a message risk score and transmitting a warning notification, one or more computer processors detect transmission of a message from a user to a selected recipient. The one or more computer processors extract message information from the detected message. The one or more computer processors retrieve one or more historical conversations between the user and the selected recipient of the detected message. The one or more computer processors determine a risk score corresponding to sending the detected message to the selected recipient based on applying the extracted message information and the retrieved historical conversations to a cognitive model.

Mistaken message prevention based on multiple classification layers

A computer implemented method for matching services to potential receivers of the services that includes registering at least one of service providers and service receivers as members to a service matching system. The service matching system collects data from the members. Permission to collect data from the members is revocable at any time by the members. The method further includes taking an order from a first service receiver to receive goods from a service provider; and calculating a route of the first service receiver to obtain the goods from the service provider. The method further includes matching the route of the first service receiver with a potential delivery route to a second service receiver having an order with the service provider; and offering a promotion to the first service receiver to deliver the order by the second service receiver with the service provider over the potential delivery route.

Intelligent service and customer matching using an information processing system

A method for video content searching is provided. The method accesses video content and segments the video content into a plurality of frames. The method identifies one or more characteristics for at least a portion of frames of the plurality of frames and determines time frames for each characteristic of the one or more characteristics within the portion of the frames. The method generates frame keywords for the plurality of frames based on the one or more characteristics. The method assigns at least one frame keyword to each time frame within the portion of the frames and generates an index store for the video content. The index store is generated based on the frame keywords and assigning the at least one frame keyword to each frame. The index store includes the frame keywords and time frames assigned to the frame keywords.

Video content segmentation and search

Embodiments of the present invention provide a method, system and computer program product for telephonic fraud prevention. In an embodiment of the invention, a method of telephonic fraud prevention includes speech recognizing in real-time, audio of a telephone call from a caller to a called party. Once the real-time audio has been speech recognized into text, the text may be parsed into words and the words compared to a hierarchical semantic tree of terms. On the condition that a match is detected between one of the words and a node of the tree, a level of the tree is identified at which the match is detected and the level is correlated to a degree of risk of the telephone call. Finally, an alert is displayed to the called party reflecting the degree of risk.

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Taipei, Taiwan

Ching-Chun Liu