Yahoo! Inc.

Oath Inc.

Fuji Xerox Co., Ltd.

Fujifilm Business Innovation Corp.

Match Group, LLC

Excalibur Ip, LLC

Toyota Research Institute, Inc.

Toyota Jidosha Kabushiki Kaisha

Verizon Patent and Licensing Inc.

Match.com, L.l.c.

David Ayman Shamma

Elizabeth F Churchill

Lyndon Kennedy

Marco De Sa

Laurent Denoue

Matthew L Cooper

Ioannis Kalantidis

Judd Antin

Francine R Chen

Scott Carter

Karon A Weber

Anthony Dunnigan

Samantha Marie Tripodi

Yin-Ying Chen

Peter Shafton

M Cameron Jones

R Preston McAfee

Chidansh Amitkumar Bhatt

Vikas Kumar

Marc Eliot Davis

Ronald Martinez

Christopher William Higgins

Joseph James O'Sullivan

Athellina Athsani

Christopher T Paretti

Ayman Farahat

David Michael Hilbert

Matthew L Lee

Gerry Pesavento

Jian Zhao

Nikos Arechiga Gonzalez

Austin William Shoemaker

Ricardo Alberto Baeza-Yates

Miteshkumar Patel

Henriette Cramer

Xiaojing Zhang

Simon Kayode Osindero

Shabnam Hakimi

Andrew Douglas Stadlen

Yulius Tjahjadi

Shinji Onishi

John J Doherty

Frank Richard Bentley

Bart Thomee

Yue Weng

Joseph Nathaniel Kaye

Bart Thomée

Kandha Sankarapandian

Daniel Jeffrey Tasse

Patrick Lee Schmitz

Ryan Shaw

Ram Sriram

Alexandre Filipowicz

Steven Cebertowicz

Saeideh Bakhshi

Nikolas Hans-Friedrich Klug

Mohamed Kafsi

John Alexis Guerra Gomez

Hu-Cheng Lee

Jude Yew

Candice Hogan

A method for legitimate remote co-worker encounters is described. The method includes scheduling a virtual walkabout of a user in a remote environment. The method also includes identifying a remote co-worker in the remote environment to facilitate an interaction with during the virtual walkabout of the user. The method further includes outputting a notification in response to identifying the remote co-worker in the remote environment. The method also includes interfacing the user with the remote co-worker to facilitate the interaction with the remote co-worker during the virtual walkabout of the user.

System and method for legitimate co-worker remote encounter interactions

A computer-implemented method, comprising receiving one or more inputs associated with a master services agreement (MSA), and generating an output that includes smart contract information; performing a simulation and receiving user input to interactively adjust the smart contract information and implement a smart purchase agreement (SPA) in blockchain and in a state engine; and automatically generating a smart purchase order (SPO) under the MSA, wherein the SPO is automatically validated for a conflict against the MSA in real-time, and for the case of a conflict, a conflict warning is provided.

System for simulating and creating smart purchase agreements from master service agreements

Systems, methods, and other embodiments described herein relate to informing a user how a hypothetical electric vehicle would perform based on the driving habits of the user in a non-electric vehicle. In one embodiment, a method includes identifying an origin and a destination of a non-electric vehicle after the non-electric vehicle has arrived at the destination. The method includes determining energy information for a hypothetical electric vehicle traveling from the origin to the destination and outputting the energy information to the user.

Electric vehicle simulation

An apparatus and method for facilitating a synchronous display of a time-based media object (e.g., a video or audio file) with a remote device is provided. In one example, the apparatus comprises control logic for controlling the display of a media object in response to a user entered command with a first device, and communication logic for causing communication of the user entered command (e.g., play, pause, skip, etc.) and a metric (e.g., time or frame reference) associated with the media object to a second device for synchronizing the display of the media object with the first and second devices. The first and second devices may communicate via peer-to-peer communications, for example, in a collaborative or social application such as an IM application. Further, the apparatus may include various devices such as a personal computer, mobile phone device and/or mobile personal entertainment device, DVR, or the like.

Synchronous delivery of media content in a collaborative environment

A computer-implemented method of associating an annotation with an object in an image, comprising generating a dictionary including first vectors that associate terms of the annotation with concepts, classifying the image to generate a second vector based on classified objects and associated confidence scores for the classified objects, selecting a term of the terms associated with one of the first vectors having a shortest determined distance to the second vector, identifying a non-salient region of the image, and rendering the annotation associated with the selected term at the non-salient region.

System and method for automated photo-ideophone matching and placement

Users are enabled to define and modify mappings between (1) gestures and (2) actions performed by one or more computing devices in response to a device detecting performance of a gesture. A generalized gesture-to-action mapping framework allows users to intuitively define and modify such mappings. In response to a device detecting the performance of a particular gesture, one or more devices may cause the execution of one or more device actions based on a set of user-defined gesture-to-action mappings.

Customizable gestures for mobile devices

Example implementations described herein are directed to systems and methods for anomaly detection through using a segmentation process and an object detection process on images received through a camera system. The segmentation process and object detection process are then matched to detected additive anomalies (e.g., objects added to the environment) and subtractive anomalies (e.g., objects missing from the environment). Based on the type of anomaly detected as well as the underlying object, notifications can be dispatched to the user of the environment or the administrator of the system.

Understanding normality of an environment using semantic information from images

A computer implemented method of grouping media objects is provided, as well as systems, interfaces and devices therefor. The method includes generating a group from the media objects based on a combination of a script of sequential events and an actor associated with one or more of the media objects in the script, segmenting the group into segments each including one or more of the media objects, based on clustering or classification, providing titling and captioning for the segments, and generating filter and annotation recommendations based on knowledge associations in the media objects, data, and the combination of the script and the actor, across the media objects of the group.

Media object grouping and classification for predictive enhancement

Systems and methods are provided that involve processing video to identify a plurality of people in the video; obtaining a plurality of gaze part affinity fields (PAFs) and torso PAFs from the identified plurality of people; determining orthogonal vectors from first vectors derived from the torso PAFs; determining an intersection between second vectors derived from the gaze PAFs and the orthogonal vectors; and changing a viewpoint of the video based on the intersection.

Saliency prediction using part affinity fields in videos

An apparatus includes a 360 camera configured to image a volume including one or more local users, and generate an output for remote users, and an illumination device configured to generate a visual output for the one or more local users that is indicative of a viewing direction or a number of the remote users, based on a mapping of a region of interest of the remote viewers. The illumination device is associated with the 360 camera.

System and method of providing gaze and awareness for ultra wide and 360 cameras

A computer implemented method of associating a non-electronic map with an electronic map is provided. The method comprises, for an obtained online data collection, generating a database of style-invariant and location-variant map representations by application of a convolutional neural network. Additionally, for a captured image associated with the non-electronic map, the captured image not having geo-location metadata, the method comprises applying a nearest neighbor heuristic to compare the captured image to the map representations and generate a match between the captured image and the map representations, and performing a display action associated with the match.

Method for location inference from map images

An augmented reality (AR) environment synchronization method, includes, for each of a plurality of devices associated with respective users in the AR environment, receiving plane information, and generating object/unique identifier information; across the devices, coordinating the plane information; performing context-aware matching of the object/unique identifier information across the devices to generate a match between respective objects sensed by the devices; and providing synchronization control to the devices, to permit an annotation of the matched object to be locked to a landmark and the plane of one of the devices with respect to others of the devices.

System and method for semantic or visual collaborative augmented reality

Growing community of inventors

San Francisco, CA, United States of America

David Ayman Shamma