Qualcomm Incorporated

Microsoft Technology Licensing, LLC

Hewlett-packard Development Company, L.p.

Cisco Technology, Inc.

University System of Maryland

Ashwin Deepak Swaminathan

Mahesh Ramachandran

Vidya Narayanan

Murali Chari

Serafin Diaz Spindola

Shankar Sadasivam

Bolan Jiang

Ranjith Subramanian Jayaram

Piyush Sharma

George Cherian

Santosh Paul Abraham

Alan Hersh Karp

Darko Kirovski

Pawan Kumar Baheti

Yinian Mao

Tadeusz Jarosinski

Peerapol Tinnakornsrisuphap

Bibhu P Mohanty

Raghuraman Krishnamoorthi

Khosro Rabii

Kiran Kumar Somasundaram

Li Ding

Charles Wheeler Sweet, Iii

Min Wu

Jin Won Lee

Fitzgerald John Archibald

Maithili Narasimha

Abhijeet Bisain

Dheeraj Ahuja

Srinivas Sardar

Prasun Choudhury

Piero Zappi

Muralidhar Reddy Akula

Hima Bindu Damecharla

Santiago Mazuelas

Cherian Varkey Mathew

Sanjiv Nanda

Alireza Raissinia

Saumitra Mohan Das

Guan-Ming Su

Ramin Rezaiifar

Chong U Lee

Edward Harrison Teague

Yuriy Reznik

John Hyunchul Hong

Roy Franklin Quick, Jr

Guido Robert Frederiks

Lakshminath Reddy Dondeti

Anuraag Mittal

Udayakumar Srinivasan

Christopher Brunner

Qi Xue

Onur Canturk Hamsici

Aditya Narain Srivastava

Antonius A Kalker

Yanghai Tsin

Sundeep Vaddadi

Shan He

Vitor Rocha De Carvalho

Avinash Laxmisha Varna

Seyed Hesameddin Najafi Shoushtari

Rajeev Jain

Hongmei Gou

Ryan Michael Carey

Suhas H Sheshadri

Bhuwan Dhingra

Jinwon Lee

Joseph Michaelsamy Swaminathan

Badhri Madabusi Vijayaraghavan

Sheng Yi

Renan Gonçalves Cattelan

Varkey Cherian

Douglas W Oard

Naga Venkata Kiran K Chunduri

Jose Jeronimo Moreira Rodrigues

Khosro Mohammad Rabii

Murali Ramaswamy Chari

Chong Uk Lee

Suhas Hariharapura Sheshadri

Iii Charles Wheeler Sweet

Murali R Chari

A confidentiality preserving system and method for performing a rank-ordered search and retrieval of contents of a data collection. The system includes at least one computer system including a search and retrieval algorithm using term frequency and/or similar features for rank-ordering selective contents of the data collection, and enabling secure retrieval of the selective contents based on the rank-order. The search and retrieval algorithm includes a baseline algorithm, a partially server oriented algorithm, and/or a fully server oriented algorithm. The partially and/or fully server oriented algorithms use homomorphic and/or order preserving encryption for enabling search capability from a user other than an owner of the contents of the data collection. The confidentiality preserving method includes using term frequency for rank-ordering selective contents of the data collection, and retrieving the selective contents based on the rank-order.

System and method for confidentiality-preserving rank-ordered search

Methods and apparatus relating to enabling augmented reality applications using eye gaze tracking are disclosed. An exemplary method according to the disclosure includes displaying an image to a user of a scene viewable by the user, receiving information indicative of an eye gaze of the user, determining an area of interest within the image based on the eye gaze information, determining an image segment based on the area of interest, initiating an object recognition process on the image segment, and displaying results of the object recognition process.

Enabling augmented reality using eye gaze tracking

Methods, systems, and techniques to enhance computer vision application processing are disclosed. In particular, the methods, systems, and techniques may reduce power consumption for computer vision applications and improve processing efficiency for computer vision applications.

Computer vision application processing

An apparatus and method for a framework exposing an API (application programming interface) to web-based server applications on the internet or in the cloud is presented. The API allows server applications to retrieve sensor data from a mobile device via a low-power sensor core processor on a mobile device. This API eliminates effort and cost associated with developing and promoting a new mobile device client application. The API framework includes APIs that web-based application may use to fetch sensor data from one or more particular sensors on the mobile device.

Sensor API framework for cloud based applications

A method of auto-calibrating light sensor data of a mobile device includes, obtaining, by the mobile device, one or more reference parameters representative of light sensor data collected by a reference device. The method also includes collecting, by the mobile device, light sensor data from a light sensor included in the mobile device, itself. One or more sample parameters of the light sensor data obtained from the light sensor included in the mobile device are then calculated. A calibration model is then determined for auto-calibrating the light sensor data of the light sensor included in the mobile device based on the one or more reference parameters and the one or more sample parameters.

Auto-calibrating light sensor data of a mobile device

A mobile device, such as a smartphone or a tablet computer, can execute functionality for configuring a network device in a communication network and for subsequently controlling the operation of the network device with little manual input. The mobile device can detect sensor information from a network device. The mobile device can determine device configuration information based, at least in part, on decoding the sensor information. The mobile device can provide the device configuration information to an access point of a network. The mobile device can receive communication link information from the access point. The mobile device can provide the communication link information to the network device. The mobile device can receive a message indicating a communication link between the network device and the access point is established.

Sensor based configuration and control of network devices

Systems and methods for performing localization and mapping with a mobile device are disclosed. In one embodiment, a method for performing localization and mapping with a mobile device includes identifying geometric constraints associated with a current area at which the mobile device is located, obtaining at least one image of the current area captured by at least a first camera of the mobile device, obtaining data associated with the current area via at least one of a second camera of the mobile device or a sensor of the mobile device, and performing localization and mapping for the current area by applying the geometric constraints and the data associated with the current area to the at least one image.

Using a plurality of sensors for mapping and localization

A method of performing context inference is described. The method includes collecting ambient light at a spectrometer sensor integrated in a portable device, characterizing the collected light to obtain optical information, comparing the optical information to optical data predetermined to match one or more contexts, inferring at least one characteristic of a specific context based on the comparison, and determining a probability that the portable device is in the specific context.

Spectrometer for personal context

A detector in a mobile device receives input from a modem, determines whether the mobile device is indoor or outdoor based on the modem-supplied input, and stores in memory a binary value to indicate an indoor-outdoor state. In some embodiments, the detector extracts a feature from the modem-supplied input, and uses the extracted feature with a statistical classifier, to output an indoor-outdoor state and an associated probability of correctness of the indoor-outdoor state. In other embodiments, the detector determines whether the mobile device is indoor or outdoor based at least on the feature extracted to characterize temporal distribution of the wireless signal, by using a prior value of the state being indoor or outdoor.

Power delay profile based indoor outdoor detection

Systems and methods share context information on a neighbor aware network. In one aspect, a context providing device receives a plurality of responses to a discovery query from a context consuming device, and tailors services it offers to the context consuming device based on the responses. In another aspect, a context providing device indicates in its response to a discovery query which services or local context information it can provide to the context consuming device, and also a cost associated with providing the service or the local context information. In some aspects, the cost is in units of monetary currency. In other aspects, the cost is in units of user interface display made available to an entity associated with the context providing device in exchange for the services or local context information offered to the context consuming device.

Systems and methods for sharing context information in a neighbor aware network

Embodiments of the present invention are directed toward providing intelligent sampling strategies that make efficient use of an always-on camera. To do so, embodiments can utilize sensor information to determine contextual information regarding the mobile device and/or a user of the mobile device. A sampling rate of the always-on camera can then be modulated based on the contextual information.

Always-on camera sampling strategies

A mobile platform efficiently processes image data, using distributed processing in which latency sensitive operations are performed on the mobile platform, while latency insensitive, but computationally intensive operations are performed on a remote server. The mobile platform acquires image data, and determines whether there is a trigger event to transmit the image data to the server. The trigger event may be a change in the image data relative to previously acquired image data, e.g., a scene change in an image. When a change is present, the image data may be transmitted to the server for processing. The server processes the image data and returns information related to the image data, such as identification of an object in an image or a reference image or model. The mobile platform may then perform reference based tracking using the identified object or reference image or model.

Adaptable framework for cloud assisted augmented reality

Growing community of inventors

San Jose, CA, United States of America

Ashwin Deepak Swaminathan