Microsoft Technology Licensing, LLC

Other

Microsoft Corporation

Zhengyou Zhang

Zicheng Liu

Cha Zhang

Ying Shan

Michael F Cohen

Charles Edward Jacobs

Christian F Huitema

Philip Andrew Chou

Rajesh Hegde

Sasa Junuzovic

Alejandro Acero

Michael Jack Sinclair

Li-wei He

David W Williams

Qin Cai

Yasser Baseer Asmi

Khawar Zuberi

Jin Li

Ross Garrett Cutler

Abhishek Abhishek

Dinei A Florencio

Yuan Kong

Eric Glenn Lang

Jie Jerry Liu

Xuedong D Huang

Michel Pahud

Di Wang

Nikolai Smolyanskiy

Yinpeng Chen

Yi Lu

James G Droppo

Dimitrios Lymberopoulos

Charles T Loop

Ruigang Yang

Kori Inkpen Quinn

Michel Goraczko

Vikram Reddy Dendi

Andrew David Wilson

Heung-Yeung Shum

Anoop Gupta

Michael Anthony Hall

Hrvoje Benko

Gang Hua

Wei-Ge Chen

John C Tang

Neil Scott Fishman

William A S Buxton

David J Kurlander

Donald Marcus Gillett

Li Deng

Steven Mark Drucker

James David Johnston

Alex Aben-Athar Kipman

Timothy Andrew Large

Chunhui Zhang

Lin Liang

Michael John Conrad

Seiichi Kato

Silviu-Petru Cucerzan

Lu Yuan

Dinei Afonso Ferreira Florencio

Behrooz Chitsaz

Po Yuan

Nikolay Smolyanskiy

Henrique Sarmento Malvar

Desney S Tan

Alastair Wolman

Patrice Y Simard

Ying Li

Wenwu Zhu

Tommer Leyvand

Zhouchen Lin

Aamer Hydrie

Hao Jiang

Ming Gang Liu

Qifa Ke

Michael Lewis Seltzer

Szymon Piotr Stachniak

Kenneth Alan Lobb

Xu Bin Liu

Shi Han

Zsolt Mathe

Prafulla Jinendra Masalkar

Jonathan Alan Handler

Jason Garms

Daniel Allen Rosenfeld

Kyle James Krum

Qiang Huo

Katsushi Ikeuchi

Chunshui Zhao

Yang Wang

Leonardo G Del Castillo

Shujie Liu

Padmanabhan Anandan

Jingyu Qiu

Qing Zhang

Nirupama Chandrasekaran

Minghua Chen

Pieter Kasselman

Lijuan Wang

The discussion relates to inventory control. In one example, a set of ID sensors can be employed in an inventory control environment and subsets of the ID sensors can collectively sense tagged items in shared space. Data from the subset of ID sensors can indicate when a user has taken possession of an individual tagged item in the shared space.

Inventory control

The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.

Context-awareness

The discussion relates to 4D tracking. One example can utilize multiple 3D cameras positioned relative to an environment to sense depth data of the environment from different viewpoints over time. The example can process the depth data to construct 3D solid volume representations of the environment, select subjects from the 3D solid volume representations, and recognize actions of the selected subjects.

4D tracking utilizing depth data from multiple 3D cameras

Techniques for recording and replay of a live conference while still attending the live conference are described. A conferencing system includes a user interface generator, a live conference processing module, and a replay processing module. The user interface generator is configured to generate a user interface that includes a replay control panel and one or more output panels. The live conference processing module is configured to extract information included in received conferencing data that is associated with one or more conferencing modalities, and to display the information in the one or more output panels in a live manner (e.g., as a live conference). The replay processing module is configured to enable information associated with the one or more conferencing modalities corresponding to a time of the conference session prior to live to be presented at a desired rate, possibly different from the real-time rate.

Accelerated instant replay for co-present and distributed meetings

The disclosure relates to tracking the location of a target object. In one example, a computer vision system detects a configuration of environment objects. A location model that has been trained for the environment configuration is selected. A signal associated with the target object is received and interpreted using the selected location model to determine the location of the target object.

Location tracking

The large display interaction implementations described herein combine mobile devices with people tracking to enable new interactions including making a non-touch-sensitive display touch-sensitive and allowing personalized interactions with the display. One implementation tracks one or more mobile computing device users relative to a large computer-driven display, and configures content displayed on the display based on a distance a given mobile computing device user is from the display. Another implementation personalizes user interactions with a large display. One or more mobile computing device users are tracked relative to a display. The identity of each of the one or more mobile computing device users is obtained. Content displayed on the display is configured based on a distance an identified mobile computing device user is from the display and the identity of the user that provides the content.

Combining mobile devices with people tracking for large display interactions

A vehicle has a camera system that captures video while the vehicle moves. The vehicle records the captured video and/or wirelessly transmits the captured video to a remote user device for playback. When the vehicle is moving, a coarse waypoint is identified and a trajectory is determined from the current location of the vehicle to the coarse waypoint that reduces (e.g., minimizes) sudden changes in direction of movement of the vehicle, reduces (e.g., minimizes) sudden changes in speed of the vehicle, and/or reduces (e.g., minimizes) sudden changes in acceleration of the vehicle by reducing (e.g., minimizing) jerk or snap of the vehicle trajectory. One or more fine waypoints along the trajectory are selected and the vehicle moves to the coarse waypoint along the trajectory by passing through those fine waypoints, resulting in smooth movement of the device that reduces or eliminates motion sickness for users viewing the captured video.

Vehicle trajectory determination to stabilize vehicle-captured video

The systems and methods generate geometric proxies for participants in an online communication session, where each geometric proxy is a geometric representation of a participant and each geometric proxy is generated from acquired depth information and is associated with a particular virtual box. The systems and methods also include generating a scene geometry that visually simulates an in-person meeting of the participants where the scene geometry includes the geometric proxies, and the virtual boxes of the geometric proxies are aligned within the scene geometry based on a number of the participants and a reference object to which the virtual boxes are aligned. In addition, the systems and methods cause a display of the scene geometry with the geometric proxies, where the display of a particular geometric proxy includes a video of the participant corresponding to the particular geometric painted onto the particular geometric proxy.

Virtual viewpoint for a participant in an online communication

An apparatus that automatically monitors a display device includes a photo sensor configured to receive light from a display screen of the display device. The photo sensor provides signals representing detected light levels to a processor. The processor is coupled to the display device and is configured to cause the display device to present a test sequence including a plurality of images on the display screen. The processor is configured to capture data from the photo sensor during the presentation of the test sequence and to compare the captured data to an expected sequence corresponding to the test sequence displayed by a well-functioning display. The processor is further configured to report any mismatch between the captured data and the expected sequence as a possible malfunction of the display device.

Automated presentation equipment testing

A method includes obtaining data representing multiple characters, determining a code for each character wherein each code corresponds to a different audio frequency, and transmitting the codes at the corresponding audio frequencies.

Audio data transmission using frequency hopping

Implementations provide an in-person communication experience by generating a changable virtual viewpoint for a participant in an online communication. For instance, techniques described herein capture visual data about participants in an online communication, and create a realistic geometric proxy from the visual data. A virtual scene geometry is generated that mimics an arrangement of an in-person meeting for the online communication. According to various implementations, a virtual viewpoint displays a changing virtual viewpoint, such as based on a change in position of a participants face.

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Bellevue, WA, United States of America

Zhengyou Zhang