Abstract: Manipulating an image in an immersive video conference space includes associating an anchor to a background of the immersive video conference space, static interior objects in the immersive video conference space, and/or dynamic interior objects in the immersive video conference space or an area within a display pane of the immersive video conference space and actuating an anchor activation control that causes the image to move to a position of the anchor. The image may be an image of the presenter. The presenter may provide a gesture that actuates the anchor activation. The gesture may be a keyboard shortcut or a touch gesture. The touch gesture may be a tap, a swipe, or a tap and hold. The image may move to the position of the anchor along a transitional route. The image may change appearance as the image moves to the position of the anchor along the transitional route.

Abstract: The various implementations described herein include methods, devices, and systems for preparing notes stored in a user repository. A method includes, at a user device having memory and one or more processors, generating based on content previously stored in a note, a note preview including note identifying information, and causing presentation, via the user device, of the note preview including the note identifying information. The method includes, responsive to user selection of the note preview, causing presentation, via the user device, of the note associated with the note preview. The method also includes while displaying the note associated with the note preview, receiving user input to include additional content in the note, and responsive to the user input to include additional content in the note, modifying the note and the note preview based on the additional content. The method further includes storing the note in the user repository.

Abstract: The various implementations described herein include methods, devices, and systems for obtaining and presenting personal and public search results. In one aspect, a method includes: (1) receiving a search query from a user; (2) extracting terms from the search query; (3) determining whether relevant notes exist within a personal database of the user by comparing the extracted terms to stored notes of the user within the personal database; (4) obtaining public search results for the search query; (5) obtaining search results information by analyzing the public search results; (6) determining whether additional relevant notes exist by comparing the search results information to the stored notes of the user; (7) preparing note information for the relevant notes; and (8) concurrently presenting at least a subset of the prepared note information and at least a subset of the public search results to the user.

Abstract: Integrating an application and a chat session includes a first user identifying content from the application, wherein the application is independent of any chat session, the first user initiating the chat session with at least a second user that is remote from the first user by transmitting the content from the first user to the second user, where the first and second user establish the chat session in response to the content being transmitted, and the first user and the second user sharing the content in connection with the chat session. The content may be a portion of a photograph, a portion of an image, a portion of text from a document, and/or a portion of a screen. The portion may be automatically identified following the user pointing and marking up the content. The first user may mark up the content before transmitting it to the second user.

Abstract: Managing a video conference includes presenting, to a plurality of participants of the video conference, a channel pane containing information for the video conference that is controlled by a presenter, the channel pane being provided on a background that is visible to the plurality of participants and superimposing a dynamic image of the presenter on the background. The dynamic image of the presenter is continuously captured by a camera. Managing a video conference also includes adjusting the dynamic image of the presenter to prevent obscuring the information of the channel pane and/or to focus attention of the participants to specific information of the channel pane. The dynamic image of the presenter may be adjusted in response to the channel pane being enlarged and/or moved and/or by shrinking and/or by making the dynamic image semi-transparent. The channel pane may include a physical medium that the presenter actuates.

Abstract: Constructing a noise pollution map for an area includes a first subset of users performing initial noise recordings in the area using audio devices, using machine learning to provide classification of noises in the initial noise recordings, a second subset of users, larger than the first subset of users, capturing noise in the area using audio devices, creating summaries of noises using the classification to classify noises captured by the second subset of users, and aggregating the summaries to construct the noise pollution map of the area. The audio devices may include headsets, smart speakers, smart television sets, and/or computers. The summaries of noises may be created using software that is installed locally on devices of the second subset of users. The summaries may include source information, amplitude and frequency characteristics, duration, parameters of a corresponding one of the audio devices, user location, surroundings, and/or user movement information.

Abstract: Displaying relevant data subsets of at least one data collection includes providing an input data subset, determining a plurality of partial relevance values for different characteristics of each of the plurality of data subsets of the at least one data collection with respect to the input data subset according to a term frequency of terms in the input data subset and term in each of the plurality of data subsets of the at least one data collection and according to an inverse document frequency of the terms, determining a relevance of each of the plurality of data subsets of the at least one data collection based on the partial relevance values of the different characteristics, and displaying at least a portion of the data subsets of the at least one data collection in order of relevance.

Abstract: Integrating an application and a chat session includes a first user identifying content from the application, wherein the application is independent of any chat session, the first user initiating the chat session with at least a second user that is remote from the first user by transmitting the content from the first user to the second user, where the first and second user establish the chat session in response to the content being transmitted, and the first user and the second user sharing the content in connection with the chat session. The content may be a portion of a photograph, a portion of an image, a portion of text from a document, and/or a portion of a screen. The portion may be automatically identified following the user pointing and marking up the content. The first user may mark up the content before transmitting it to the second user.

Abstract: Managing a video conference includes connecting participants of the videoconference to at least one video conferencing server that sends and receives video streams between the participants, detecting non-verbal cues of the participants, using the non-verbal cues to track reactions of the participants to segments of a presentation provided by a speaker and to interactions among participants, determining a health index of the video conference based on the reactions of the participants, and providing to at least a subset of the participants recommendations based on the health index for modifying the video conference. The non-verbal cues may include facial expressions, body language, gestures, postures, and/or eye contact. The interactions among participants may include discussions, agreement, disagreement, interruption, and/or eye-rolling. The recommendations may include asking a participant to provide an opinion on a subject matter being discussed in the video conference. The participant may be an expert.

Abstract: Displaying relevant data subsets of at least one data collection includes providing an input data subset, determining a plurality of partial relevance values for different characteristics of each of the plurality of data subsets of the at least one data collection with respect to the input data subset according to a term frequency of terms in the input data subset and term in each of the plurality of data subsets of the at least one data collection and according to an inverse document frequency of the terms, determining a relevance of each of the plurality of data subsets of the at least one data collection based on the partial relevance values of the different characteristics, and displaying at least a portion of the data subsets of the at least one data collection in order of relevance.

Abstract: Managing push notifications for a user includes buffering a plurality of notifications, sorting the notifications based on relevance of the notifications to the user and workflow of the user, and delivering the notifications to the user in an order corresponding to sorting the notifications. Sorting may include classifying the notifications into categories that include user notifications, transactional notifications, promotional notifications, and system notifications. Sorting may include associating each of the notifications with aspects of the workflow of the user. Sorting may include scoring notifications according to notification relevance factors and prioritizing the notifications according to an aggregate relevance score of each of the notifications. The notification relevance factors may depend on notification properties, activities of the user, user settings, a physiological and emotional state of the user, and/or user interaction with content.

Abstract: Constructing a noise pollution map for an area includes a first subset of users performing initial noise recordings in the area using audio devices, using machine learning to provide classification of noises in the initial noise recordings, a second subset of users, larger than the first subset of users, capturing noise in the area using audio devices, creating summaries of noises using the classification to classify noises captured by the second subset of users, and aggregating the summaries to construct the noise pollution map of the area. The audio devices may include headsets, smart speakers, smart television sets, and/or computers. The summaries of noises may be created using software that is installed locally on devices of the second subset of users. The summaries may include source information, amplitude and frequency characteristics, duration, parameters of a corresponding one of the audio devices, user location, surroundings, and/or user movement information.

Abstract: While receiving a user input of content of a first document, a computer system, dynamically and in real time, identifies relevant information items from a plurality of information feeds. Specifically, one or more other documents is obtained in a collection of documents that are relevant to the first document being entered by a user. When it is determined that changes in member documents of the set of one or other documents satisfies a stabilization criterion while receiving the user input, related terms are extracted from the content of the first document and the one or more other documents and used to identify the relevant information items including the related terms from the plurality of information feeds that is distinct from the collection of documents. The relevant information items are then presented on a display for the user.

Abstract: While receiving a user input of content of a first document, a computer system, dynamically and in real time, identifies relevant information items from a plurality of information feeds. Specifically, one or more other documents is obtained in a collection of documents that are relevant to the first document being entered by a user. When it is determined that changes in member documents of the set of one or other documents satisfies a stabilization criterion while receiving the user input, related terms are extracted from the content of the first document and the one or more other documents and used to identify the relevant information items including the related terms from the plurality of information feeds that is distinct from the collection of documents. The relevant information items are then presented on a display for the user.

Abstract: Protecting a fragment of a document includes automatically detecting the fragment without user intervention based on the content of the fragment and/or the context of the fragment within a set of documents, selectively encrypting the fragment to prevent unauthorized access, and providing an alternative view of the fragment that prevents viewing and access of content corresponding to the fragment unless a decryption password is provided. Automatically detecting the fragment may include detecting numbers and alphanumeric sequences of sufficient length that do not represent commonly known abbreviations, detecting generic terms, detecting proper names, detecting terms signifying a type of content, detecting mutual location of terms and sensitive content, and/or detecting user defined terms. The generic terms may correspond to password, passcode, credentials, user name, account, ID, login, confidential, and/or sensitive. The proper names may be names of financial organizations and security organizations.

Abstract: Protecting a fragment of a document includes automatically detecting the fragment without user intervention based on the content of the fragment and/or the context of the fragment within a set of documents, selectively encrypting the fragment to prevent unauthorized access, and providing an alternative view of the fragment that prevents viewing and access of content corresponding to the fragment unless a decryption password is provided. Automatically detecting the fragment may include detecting numbers and alphanumeric sequences of sufficient length that do not represent commonly known abbreviations, detecting generic terms, detecting proper names, detecting terms signifying a type of content, detecting mutual location of terms and sensitive content, and/or detecting user defined terms. The generic terms may correspond to password, passcode, credentials, user name, account, ID, login, confidential, and/or sensitive. The proper names may be names of financial organizations and security organizations.

Abstract: Integrating an application and a chat session includes a first user identifying content from the application, wherein the application is independent of any chat session, the first user initiating the chat session with at least a second user that is remote from the first user by transmitting the content from the first user to the second user, where the first and second user establish the chat session in response to the content being transmitted, and the first user and the second user sharing the content in connection with the chat session. The content may be a portion of a photograph, a portion of an image, a portion of text from a document, and/or a portion of a screen. The portion may be automatically identified following the user pointing and marking up the content. The first user may mark up the content before transmitting it to the second user.

Abstract: Integrating an application and a chat session includes a first user identifying content from the application, wherein the application is independent of any chat session, the first user initiating the chat session with at least a second user that is remote from the first user by transmitting the content from the first user to the second user, where the first and second user establish the chat session in response to the content being transmitted, and the first user and the second user sharing the content in connection with the chat session. The content may be a portion of a photograph, a portion of an image, a portion of text from a document, and/or a portion of a screen. The portion may be automatically identified following the user pointing and marking up the content. The first user may mark up the content before transmitting it to the second user.

Abstract: Sharing content includes verifying occurrence of an event, determining participants of the event, gathering related content generated by the participants, where the related content corresponds to the event, and disseminating the related content to the participants. The event may be a business meeting. Verifying occurrence of an event may include determining scheduled participants, scheduled location, and scheduled time of the event using an electronic calendar of one of the scheduled participants. Participants may include the scheduled participants and other participants that are not listed in the electronic calendar where the other participants attend the event. Verifying occurrence of an event may also include confirming that at least an event organizer is at the scheduled location at the scheduled time and there is at least one other one of the participants. The content may include documents, photos, scanned images, audio clips, video clips, types notes, and/or handwritten notes.

Abstract: While receiving a user input of content of a first document, a computer system, dynamically and in real time, identifies relevant information items from a plurality of information feeds. Specifically, one or more other documents is obtained in a collection of documents that are relevant to the first document being entered by a user. When it is determined that changes in member documents of the set of one or other documents satisfies a stabilization criterion while receiving the user input, related terms are extracted from the content of the first document and the one or more other documents and used to identify the relevant information items including the related terms from the plurality of information feeds that is distinct from the collection of documents. The relevant information items are then presented on a display for the user.