International Business Machines Corporation

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Yang Liang

Su Liu

Ting Yin

Dong Chen

Zhi Li Guan

Jun Su

Wu Zhong

Jiangliang Guo

Xu Liang Li

Hamid Majdabadi

Shuo Li

Fan Yang

Cheng Xu

Jun Feng Liu

Jia Zou

Debbie A Anglin

Li Ni Zhang

Qin Qiong Zhang

Xue Yong Zhang

Kun Liu

Faen Zhang

Nan Chen

Minghao Liu

Chao Han

Xin Peng Liu

Shunguo Yan

Hui Zhao

Yuan Yuan Li

Yin Xia

Xue Ying Zhang

Denise Marie Genty

Barton Wayne Emanuel

Manjunath Ravi

Jun Liu

Shao Jun Ding

Shiming Yin

Luis Osvaldo Pizana

Shuangshuang Qiao

Xiangyue Lin

Jin Tang

Li Jia Chen

Mingfa Zhu

Hua Chai

Zhan Peng Huo

Jill S Dhillon

Qin Yue Chen

Ying Yan

Yin Qian

Der-Joung Wang

Na Liu

Ying Cao

Jiabing Leng

Ravithej Chikkala

Yawei Wen

Yi-Lin Tsai

Lu Huang

Xin Cui

Chen Yu Chang

Nuo Xu

Jingbo Huang

Xiang Cai

Bin Shang

Shu Jun Tang

Ya Juan Dang

Bin Xiong

Siyu An

Xu Li

Xue Mei Deng

Kun Shang

Fei Qi

Song Bai

Da Long Wang

Ze Wang

Nageswara Sastry Renduchintala

Arun Dev

Hang Jiang

Xue Lian Feng

Yang Yang Feng

Yuhong Zou

Kaihua Song

Karen Beale

James Nash

Naomi Wu

Distributed rendering of digital objects in augmented reality environments includes a method, system, and computer program product that are configured to: receive a first space matrix from a first augmented reality (AR) device; receive a second space matrix from a second AR device; perform distributed rendering of a digital object for the first AR device and the second AR device in response to receiving the first space matrix and the second space matrix; transmit first image data to the first AR device, the first image data defining the first version of the first part of the digital object and the second part of the digital object; and transmit second image data to the second AR device, the second image data defining the second version of the first part of the digital object and the second part of the digital object.

Distributed rendering of digital objects in augmented reality environments

Provided are a computer program product, system, and method for processing participant input in a virtual meeting to determine effects to render in the virtual meeting. A natural language processor (NLP) processes a sentence to determine a structural representation of the sentence comprising a subject and object, which is processed to determine whether the object of the sentence comprises an object of recognition and the subject of the sentence is a participant in the virtual meeting. The structural representation of the sentence is processed to determine an attention level in response to determining that the structural representation of the sentence includes the object of recognition and the subject comprises a participant in the virtual meeting. In response to the attention level exceeding a threshold, a recognition attention effect is rendered in the virtual meeting associated with the attention level, observable by the participants of the virtual meeting.

Processing participant input in a virtual meeting to determine effects to render in the virtual meeting

A method for automatically generating, correlating, and presenting visual content along with an audio stream associated with an audiobook is provided. The method may further include, in response to receiving an audio stream, automatically segmenting the audio stream into audio segments. The method may also include automatically identifying keywords, topics, and entities associated with each audio segment. The method may further include automatically identifying and retrieving visual content related to the identified keywords, topics, and entities of each audio segment from a visual content repository. The method may also include automatically integrating the identified and retrieved visual content with an audio segment. The method may further include automatically generating and displaying the visual content on the display at the designated time during play of the audio stream.

Audiobook visual aid assistance

One or more computer processors extract respective features for each inter-modal sample in an inter-modal dataset, for each intra-modal sample in an intra-modal dataset, and a subsequent sample, wherein the inter-modal dataset and the intra-modal dataset are contained in a multi-modal training dataset. The one or more computer processors estimate an inter-modal label utilizing inter-modal label transformation of a subsequent sample. The one or more computer processors estimate an intra-modal label utilizing intra-modal label transformation of the subsequent sample. The one or more computer processors label the subsequent sample with a cross-modal label by combining the estimated inter-modal label and the estimated intra-modal label.

Cross-modal semi-supervised data labeling

An embodiment for detecting the danger of an object in close proximity of a subject is provided. The embodiment may include receiving real-time data from one or more IoT devices in a surrounding environment. The embodiment may also include detecting and classifying one or more subjects and one or more objects in an image from the one or more IoT devices. The embodiment may further include identifying one or more risk factors associated with each object. The embodiment may also include correlating the one or more risk factors associated with each object with the one or more subjects in the image. The embodiment may further include identifying relative positions of the one or more subjects and the one or more objects in the image. The embodiment may also include in response to determining a current position of at least one subject is dangerous, notifying a user of the danger.

Proximity danger detection based on subject and object distance analysis

Described are techniques for handwriting authentication. The techniques include defining handwriting characteristics for a user based on a set of handwriting authentication criteria. The techniques further include receiving, from a graphical user interface (GUI) of a user device associated with the user, a handwritten phrase. The techniques further include determining that the handwritten phrase satisfies a comparison threshold to the handwriting characteristics and authenticating the user device.

Dynamic handwriting authentication

Aspects of the present disclosure relate to augmentation for web conference participants. An augmentation rule set defining mappings between augmentations and participant characteristics can be received, where the augmentation rule set is implemented for a web conference to determine augmentations to apply onto participant video feeds within the web conference. A plurality of participants within the web conference can be identified. The web conference can be analyzed to determine participant characteristics of each participant of the plurality within the web conference. Augmentation can be applied on respective video feeds of each participant according to the augmentation rule set based on the determined characteristics of each participant.

Augmentation for web conference participants

A computer-implemented method, in accordance with one embodiment, includes detecting cultural context and accents of speakers portrayed in a video stream and/or an audience of the video stream. Accent tags are selected for the speakers according to the cultural context and accents of the speakers and/or the audience of the video stream. A textual representation of spoken words of the speakers is translated from a source language to a target language. The accent tags are applied to the textual representation of the spoken words in the target language according to the speakers corresponding to the textual representation of the spoken words in the target language. Speech lip movements of the speakers portrayed in the video stream are modified to match the target language and the locale accent tags. A translated video stream having the speakers appearing to speak in the target language with the modified lip movements is output.

Generation of video stream having localized lip-syncing with personalized characteristics

VM file management includes detecting a user request to access to a virtual machine (VM) and searching a pre-defined list to determine whether the user requesting access is identified on the list. If so, a file-level snapshot is generated prior to enabling modification of a VM file by the user. The file-level snapshot includes a user attribute and is added as the top layer of a stack. The user attribute indicates a role of the user for whom the file-level snapshot is created. Each layer of the stack contains one or more other file-level snapshots. The VM file is written in the file's entirety to the snapshot in response to the user modifying the VM file. Based on the user attribute of each snapshot, a set of snapshots is selected from the stack, and the VM is modified by merging the VM files belonging to the set of snapshots selected.

Virtual machine file management using file-level snapshots

An index is provided of content at timestamps of frames in a video. A search request is received with search content. A determination is made of matching content in the index, associated with a timestamp, matching the search content. A computer addressable link to the timestamp in the index associated with the matching content is returned to the search request. Selection of the computer addressable link causes the video to play from the timestamp.

Searching content within a video for play points relevant to the searched content to return in computer addressable links having the play point

A computer-implemented method, according to various approaches, includes parsing a first collection of data into a plurality of elements. A first sub-set of the elements includes text entry data and a second sub-set of the elements includes IoT data. In response to a determination that the text entry data does not satisfy a predetermined threshold of specificity, the first collection of data is rephrased into a second collection of data. The method further includes causing the second collection of data to be sent to a determined chatbot server and causing a first output of the determined chatbot server to be returned to a first user device. The first output is an answer to the second collection of data.

Incorporating internet of things (IoT) data into chatbot text entry data

A computer-implemented method dynamically categorizes email on a client device. The method includes identifying one or more email servers associated with a user. The method also includes analyzing, for the user, a set of emails associated with the one or more email servers. The method further includes identifying, for each email, at least one category based on the content of the email. The method includes generating at least one virtualized folder, and consolidating, in response to the generating, the set of emails into the at least one virtualized folder by moving the emails into a folder based on a first of the at least one categories.

Virtualized email consolidation and categorization

Embodiments of the invention are directed to providing custom abridged versions of a media item. Aspects include receiving, from an electronic device of a user, a request for the media item and dividing the media item into a plurality of segments. Aspects also include determining a length of an available time for the user and creating the abridged version of the media item by combining a subset of the plurality of segments, where the runtime of the abridged version of the media item is less than the length of available time. Aspects further include transmitting, to the electronic device of the user, the abridged version of the media item.

Providing customized abridged versions of media items based on available user time

A method, computer program product, and system includes a processor(s) obtaining an authorization failure from a target application because an access request was denied based on insufficient permissions of a user. The processor(s) institutes a mock interface with a visual appearance of the target application. The mock interface displays predefined data and the target application displays dynamic data, from the server(s) executing the target application. The processor(s) obtains, via the mock interface, a request to change the permissions of the user to the target application, which includes a selection, by the user, through the mock interface, of one or more individual permissions displayed in the mock interface. The processor(s) automatically generates a customized security policy comprising the selection, where based on applying the customized security policy, repeating the access request results in authorized access to the target application.

Temporary interface to provide intelligent application access

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Beijing, China

Yang Liang