Microsoft Technology Licensing, LLC

The Hong Kong University of Science and Technology

Melo Inc.

Beijing Shunyuan Kaihua Technology Limited

Guobin Shen

Shipeng Li

Yongguang Zhang

Fan Yang

Zheng Han

Chunyi Peng

Lidong Zhou

Songwu Lu

Bing Zeng

Guangping Gao

Liqun Li

Ming Zhang

Feng Zhao

Sandeep Singhal

Yunxin Liu

Hua Cai

Peter Bernard Key

Thomas Karagiannis

Ming Lei Liou

Ayalvadi Jagannathan Ganesh

Hao Han

Feng Wu

Hao Wang

Ya-Qin Zhang

Lihua Zhu

Richard F Rashid

Regis J Crinon

Kun Tan

Xiaoyan Sun

Chunshui Zhao

Oscar Chi-Lim Au

Xiaowei Dai

Zixiang Xiong

Hong-Hui Sun

Zhengping Qian

Xiuwei Chen

Li Zhuang

Baogang Yao

Yuwen He

Ivan Beschastnikh

Wanyong Cao

Ze-wen Zhang

Alexandros Tourapis

Ming Liou

Kinship between electronic files among personal networked devices may be ascertained between the files by determining an operational relationship between the files and with a similarity measurement.

File kinship for multimedia data tracking

Systems and methods are provided for processing information of a meeting. An exemplary system may include a communication interface configured to receive meeting information obtained by a plurality of client devices. The meeting information may include multiple audio streams. The system may also include a memory and a processor. The processor may execute instructions stored on the memory to perform operations. The operations may include determining signal-to-noise-ratio (SNR) indicators associated with the audio streams. The operations may also include selecting, from the audio streams, a candidate audio stream based on the SNR indicators. The SNR indicator associated with the candidate audio stream may indicate that the candidate audio stream has a higher average SNR than that of a predetermined number of other audio streams. In addition, the operations may include generating an output data stream including at least a portion of the candidate audio stream.

Systems and methods for processing meeting information obtained from multiple sources

Embodiments disclosed provide a solution to detect a rally in a sports game. One or more stroke actions or non-stroke actions are detected based on motion data detected by a sensor attached to a sports instrument of a user. Using a trained stroke classification model, each detected stroke action is classified into a plurality of classes. Additionally, a determination is made whether each detected non-stroke action is an intentional special user action. The determination whether a non-stroke action is an intentional special user action is made based on a customized set of definitions defining one or more special user actions. One or more rallies are then detected based on the classified stroke actions and intentional special user actions.

Automatic rally detection and scoring

Embodiments of the disclosure provide systems and methods for logging a meeting. The system may include a memory storing computer-executable instructions and a processor. The processor may be configured to execute the instructions to perform operations. The operations may include receiving audio of the meeting captured by at least one microphone device and determining an arriving angle of speech from at least one attendee of the meeting based on the captured audio. The operations may also include generating a data stream based at least in part on the arriving angle of speech, determining an identification of the at least one attendee, and matching the identification to the data stream.

Systems and methods for logging and reviewing a meeting

Embodiments of the disclosure provide a system and methods for logging and reviewing a meeting. The system may include a communication interface configured to receive video of the meeting captured by at least one camera device and audio of the meeting captured by at least one microphone device, a memory having computer-executable instructions stored thereon, and a processor. The processor may be configured to execute the instructions to generate a plurality of data streams based on captured video and captured audio, and to determine identifications of attendees of the meeting based on at least one of the captured video and the captured audio. The processor may also be configured to execute the instructions to transcribe speeches of the attendees based on at least one of the captured audio. The processor may be further configured to execute the instructions to match the identifications to the plurality of data streams, and to cause a data stream of the plurality of data streams to be shown on the display based on a user-selected identification of an attendee of the meeting.

The techniques discussed herein reduce the power consumption of a Wi-Fi tethering device by switching the Wi-Fi functionality of the Wi-Fi tethering device from a normal operational mode to a sleep mode during idle intervals. The techniques implement a sleep protocol where a Wi-Fi tethering device and the Wi-Fi client device coordinate and establish a sleep schedule. Moreover, the techniques describe a sleep interval adaptation algorithm to establish sleep duration intervals based on data packet exchange patterns associated with different applications executing on the Wi-Fi client device and/or different operations being performed by the Wi-Fi client device.

Power saving Wi-Fi tethering

The subject matter described herein relates to light based positioning. In one embodiment, a method comprises: responsive to receiving a light signal from at least one light source available to the device, decoding a beacon from the received light signal, the beacon associated with the at least one light source; measuring signal strength of the received light signal; and determining a position of the device at least in part based on the decoded beacon, the measured signal strength, and number of the at least one light source. In addition, the frequency channelization and random channel hopping may be utilized to further improve the performance.

Light based positioning

A multi-party security protocol that incorporates biometric-based authentication and withstands attacks against any single party (e.g., mobile phone, cloud, or the user). The protocol involves the function split between mobile and cloud and the mechanisms to chain-hold the secrets. A key generation mechanisms binds secrets to a specific device or URL (uniform resource locator) by adding salt to a master credential. An inline CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) handling mechanism uses the same sensor modality as the authentication process, which not only improves the usability, but also facilitates the authentication process. This architecture further enhances existing overall system security (e.g., handling untrusted or compromised cloud service, phone being lost, impersonation, etc.) and also improves the usability by automatically handling the CAPTCHA.

Usable security of online password management with sensor-based authentication

Improved methods and apparatuses are provided for switching of streaming data bitstreams, such as, for example, used in video streaming and other related applications. Some desired functionalities provided herein include random access, fast forward and fast backward, error-resilience and bandwidth adaptation. The improved methods and apparatuses can be configured to increase coding efficiency of and/or reduce the amount of data needed to encode a switching bitstream.

Switching between streaming video bitstreams

Disclosed herein are techniques and systems for performing wireless-based localization using a zonal framework. An area (i.e., surface or space) may be partitioned into multiple zones, and one or more signal propagation models for one or more wireless access points (APs) may be generated for each zone. The result is a set of zonal signal propagation models that allow for improved model fitness on a per-zone basis. A process includes receiving a location query associated with a wireless communication device, selecting a target zone among multiple available zones of an area, and estimating a location of the wireless communication device based at least in part on one of a signal propagation model associated with the target zone or a fingerprint-based localization. The signal propagation model associated with the target zone may be generated based on training samples observed exclusively within the target zone.

Wireless-based localization using a zonal framework

A view adjustment system using information captured by one or more sensors on a client device determines a projection direction for content to be displayed on a display of the client device. Upon determining the projection direction, the view adjustment system transforms the content into a perspective view based on the determined projection direction and prompts the client device to present the content in the perspective view to a user. The view adjustment system may monitor changes in relative position and/or direction of the user with respect to the display, adjust the projection direction, and transform the content to reflect these changes.

Automatic view adjustment

Using location-independent names to identify content, a service for mapping endpoint requests to requested content. Content requested by an endpoint of the network is mapped to a dynamic 'swarm' of server, peer, or other endpoints capable of supporting the content download. Content names are mapped to a dynamically generated content swarm, presenting a current set of hosts, which can provide the requested content. Optionally, varying degrees of explicit visibility into routing paths and the performance tradeoffs between those routing paths is supported. Based on a set of class of service parameters for a given request for content, a host can initiate route selection based on class of service parameters, predicated on routing metrics maintained by the network by cooperating endpoints and/or network routers.

Network routing of endpoints to content based on content swarms

Growing community of inventors

Beijing, China

Guobin Shen