Microsoft Technology Licensing, LLC

Li-wei He

Zhengyou Zhang

Anoop Gupta

Dinei A Florencio

Nosakhare D Omoigui

Zicheng Liu

Philip Andrew Chou

Yong Rui

Ross Garrett Cutler

Yi-Min Wang

Steven Mark Drucker

Michael F Cohen

Cha Zhang

Rajesh Hegde

Xiaoxin Yin

Jinliang Fan

Wenzhao Tan

Heung-Yeung Shum

Jin Li

Henrique Sarmento Malvar

Yang Song

Christopher A Meek

Robert L Rounthwaite

Anders Edgar Klemets

Aamer Hydrie

Qifa Ke

Patrick Nelson

Sasa Junuzovic

Jian Liang

David H Salesin

Emre Mehmet Kiciman

Jonathan Marshall Cain

Adil Ahmed Sherwani

Richard William Saunders

Hung-Chih Yang

Junlin Li

Minghua Chen

Chun-Kai Wang

Scott Kirk Imig

Chao Liu

Aleksey Sinyagin

Puneet Taneja

Shiran Sathananthan

Eric Sather

Vivek Ramamoorthy

Anil Kommineni

Paul Egger

Rajesh Hedge

Xun Xu

Nam Hoang Nguyen

Shinichi Manaka

Yi-Chin Tu

A crowdsourcing data structuring system and method for capturing unstructured data from the Web and adding structure by placing the data in a document that is accessible by others in a cloud computing environment. Using crowdsourcing, the unstructured data is annotated, amended, and verified to add structure to the unstructured data. An anchor and update module convert the data to a pointer that links the document to the data at an information source and stores the pointer in the document rather than the data itself. The data displayed in the document is updated whenever the information source is updated. A contribution module allows users to add data to the document, a validation module allows users to determine the validity of the data linked to in the document, and an expert ranking module allows users to rank the expert or contributor of the data in the document.

Structuring unstructured web data using crowdsourcing

A peer-aware voice stream ranking method that makes decisions based on information about participants of a voice conference over a network. Whether to send a participant's own audio packet out on the network is based both on information about the participant's own voice packet and voice packets that the participant receives from other clients. A Voice Activity Score (VAS) is computed for each frame of a particular voice stream. The VAS includes a voiceness component, indicating the likelihood that the audio frame contains speech or voice, and an energy level component that indicating the ratio of current frame energy to the long-term average of energy for a current speaker. Using the VAS from the participants, the method also ranks the client's voice stream as compared to other clients' voice streams in the voice conference. If there are participants higher ranking, the client's voice stream is not sent.

Peer-aware ranking of voice streams

Whiteboard contents are captured through a combination of hardware and software components such as a webcam and a capture application executed in a PC or a video conference system components. The captured content can be stored, used in an online meeting, processed, made available or transmitted to participants and others.

Software based whiteboard capture solution for conference room meetings

A searchable web site discovery and recommendation system and method for discovering and recommending searchable web sites to a user of a search engine. In general, given a search query by a user embodiments of the system and method discover and then recommend a list of searchable web sites. Embodiments of the system and method discover and recommend searchable web sites using client-side query behavior logs. A set of descriptive features is automatically extracted from the logs. In addition, embodiments of the system and method expand the initial search query by submitting the query to a general search engine and leveraging snippets from the search engine results. Embodiments of the system and method model a conditional probability of a searchable web site based on four components and the extracted descriptive features. A ranked list of recommended searchable web sites is obtained from the conditional probability and displayed to a user.

Searchable web site discovery and recommendation

Architecture that scales up the non-negative matrix factorization (NMF) technique to a distributed NMF (denoted DNMF) to handle large matrices, for example, on a web scale that can include millions and billions of data points. To analyze web-scale data, DNMF is applied through parallelism on distributed computer clusters, for example, with thousands of machines. In order to maximize the parallelism and data locality, matrices are partitioned in the short dimension. The probabilistic DNMF can employ not only Gaussian and Poisson NMF techniques, but also exponential NMF for modeling web dyadic data (e.g., dwell time of a user on browsed web pages).

Distributed non-negative matrix factorization

A media recommendation and sharing technique that employs agents on media players/devices to expand the scope of media sharing scenarios. The technique assists a user in discovering media items, such as, for example, music, recordings, play lists, pictures, video games, on nearby media players or devices (devices which are capable of receiving, storing and playing media) which are interesting to the user. The collaborative media recommendation and sharing technique contemporaneously determines a user's media preferences based on media stored on a pair of media devices and recommends media for potential sharing based on these determined user preferences.

Collaborative media recommendation and sharing technique

A combined digital and mechanical tracking system and process for generating a video using a single digital video camera that tracks a person or object of interest moving in a scene is presented. This generally involves operating the camera at a higher resolution than is needed for the application, and cropping a sub-region out of the image captured that is output as the output video. The person or object being tracked is at least partially contained within the cropped sub-region. As the person or object moves within the field of view of the camera, the location of the cropped sub-region is also moved so as to keep the subject of interest within its boundaries. When the subject of interest moves to the boundary of the FOV of the camera, the camera is mechanically panned to keep the person or object inside its FOV.

Combined digital and mechanical tracking of a person or object using a single video camera

An erasure resilient coding (ERC) distributed data storage system and method for storing data in a reliable and survivable fashion while minimizing hardware and associated costs. The system and method includes forming multiple protection groups both within and across storage nodes of the storage system. Data is segmented into original data blocks and ERC data blocks. Load balancing occurs by interleaving storage nodes with equal numbers of original data blocks and ERC data blocks while ensuring each node has an equal number of combined read and write operations. Unique read and write operations on data block can be performed independent of other data blocks in a protection group. The write operation uses Galois field arithmetic and ERC transform to either write or append a new data block to a storage node. The read operation recovers data in a variety of ways using ERC decoding.

Distributed data storage using erasure resilient coding

Search relevance failures are diagnosed automatically. Users presented with unsatisfactory search results can report their dissatisfaction through various mechanisms. Dissatisfaction reports can trigger automatic investigation into the root cause of such dissatisfaction. Based on the identified root cause, a search engine can be modified to resolve the issue creating dissatisfaction thereby improving search engine quality.

Automatic diagnosis of search relevance failures

A 'Client-Side Echo Canceller' provides a unique system and method for reducing Multipoint Control Unit (MCU) computational overhead in a multi-point audio conference. In general, the local audio input signal of each client is transmitted in real-time to the MCU. The MCU then combines the audio input signals of all clients to create a single composite signal that is transmitted back to all clients in real-time. Each client then locally processes the composite signal to remove each client's local contribution to the composite signal prior to local playback in order to eliminate a local echo of each client's local audio input. In various embodiments, local cancellation of the local audio input from the composite signal is performed on either a time domain or a transform domain representation of the composite signal. Further, since each client receives the same signal, MCU transmission bandwidth can be reduced via multicast transmissions.

Client-side echo cancellation for multi-party audio conferencing

An energy based technique to estimate the positions of people speaking from an ad hoc network of microphones. The present technique does not require accurate synchronization of the microphones. In addition, a technique to normalize the gains of the microphones based on people's speech is presented, which allows aggregation of various audio channels from the ad hoc microphone network into a single stream for audio conferencing. The technique is invariant of the speaker's volumes thus making the system easy to deploy in practice.

Energy-based sound source localization and gain normalization

Persistent, spatial collaboration on the web supports a free-form, user-intuitive approach to a variety of projects and activities. Users can place differing object types at any time any where on a web page and/or the system can automatically, and with no user effort, affect object placement based on one or more meta data characteristics. A user can, in real-time, see changes made by another user to a web page, and, if desired, react accordingly, enabling true collaboration even if the various users are at remote locations. The flexibility of the methodology and system provides a platform for users to engage in projects and activities in a manner and environment suited to the users' mind sets, creativity, and natural proclivities.

Persistent spatial collaboration

Background blurring is an effective way to both preserve privacy and keep communication effective during video conferencing. The present image background blurring technique is a light weight real-time technique to perform background blurring using a fast background modeling procedure combined with an object (e.g., face) detector/tracker. A soft decision is made at each pixel whether it belongs to the foreground or the background based on multiple vision features. The classification results are mapped to a per-pixel blurring radius image to blur the background. In another embodiment, the image background blurring technique blurs the background of the image without using the object detector.

Background blurring for video conferencing

A system that captures both whiteboard content and audio signals of a meeting using a digital camera and a microphone. The system can be retrofit to any existing whiteboard. It computes the time stamps of pen strokes on the whiteboard by analyzing the sequence of captured snapshots. It also automatically produces a set of key frames representing all the written content on the whiteboard before each erasure. The whiteboard content serves as a visual index to efficiently browse the audio meeting. The system not only captures the whiteboard content, but also helps the users to view and manage the captured meeting content efficiently and securely.

System and method for whiteboard and audio capture

Systems and methods are described that support variable play speed control for media streams. The variable play speed control for media streams discussed herein provides an end-to-end solution for media stream delivery, playback, and user interface that enables end users and software developers to dynamically control the playback speed of media streams without losing the ability to comprehend the media content.

Variable play speed control for media streams

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Redmond, WA, United States of America

Li-wei He