Microsoft Technology Licensing, LLC

Guangping Gao

Shipeng Li

Guobin Shen

Feng Wu

Hang Li

Dmitriy Meyerzon

Yu Chen

Regis J Crinon

Ming Gang Liu

Raman Narayanan

Hua Cai

Victor Poznanski

Ruihua Song

Yi Liu

Hong-Hui Sun

Baogang Yao

Xin Zou

Qian Zhang

Xiaoyuan Cui

Shelley Summer Gu

Yunhua Hu

Yanti Aruswati Gouw

Ze-wen Zhang

A system and method for enterprise search includes one or more computer-readable media storing computer-executable instructions that, when executed on one or more processors that perform acts including extracting one or more of term data, personal data and metadata from one or more predetermined resources; retrieving a set of information derived from the extracted term data, personal data and metadata responsive to a query; and receiving feedback responsive to the set of information, the feedback augmenting at least one of the one or more predetermined resources.

Enterprise search method and system

A content application determines images of an article for extraction. The content application identifies an initial image associated with a content of the article. A caption and a credit line associated with the initial image is detected and the initial image is extracted along with the caption and the credit line. A second image of the article associated with a video is also detected and extracted along with the video. In addition, the content application extracts a slideshow detected within the article.

Determining images of article for extraction

A video encoding system uses both a central processing unit (CPU) and a graphics processing unit (GPU) to perform video encoding. The system implements a technique that enables the GPU to perform motion estimation for video encoding. The technique allows the GPU to perform a motion estimation process in parallel with the video encoding process performed by the CPU. The performance of video encoding using such a system is greatly accelerated as compared to encoding using just the CPU. Also, data related to motion estimation is arranged and provided to the GPU in a way that utilizes the capabilities of the GPU. Data about video frames may be collocated to enable multiple channels of the GPU to process tasks in parallel. The depth buffer of the GPU may be used to consolidate repeated calculations and searching tasks during the motion estimation process.

Accelerated video encoding using a graphics processing unit

Glitch-free media streaming is provided by a client computing device ('client') independent of whether a remote computing device ('host') associated with media content provides real-time media content streaming services. Specifically, the client computing device (&#x201c;client&#x201d;) provides a user with real-time media content streaming services by establishing multiple connections to the host to read respective portions of the media content by sending byte-range transport protocol requests to the host. As the reading operations progress, the client evaluates transmit rates over respective ones of the connections in view of a real-time media content playback rate to regulate data flow into a streaming media buffer and provide the user with a consistent high-quality (glitch-free) streaming media presentation.

Glitch-free media streaming

The systems and methods described herein are directed at accelerating video encoding using a graphics processing unit. In one aspect, a video encoding system uses both a central processing unit (CPU) and a graphics processing unit (GPU) to perform video encoding. The system implements a technique that enables the GPU to perform motion estimation for video encoding. The technique allows the GPU to perform a motion estimation process in parallel with the video encoding process performed by the CPU. The performance of video encoding using such a system is greatly accelerated as compared to encoding using just the CPU. In another aspect, data related to motion estimation is arranged and provided to the GPU in a way that utilizes the capabilities of the GPU. Data about video frames may be collocated to enable multiple channels of the GPU to process tasks in parallel. The depth buffer of the GPU may be used to consolidate repeated calculations and searching tasks during the motion estimation process. The use of frame collocation and depth buffer enables the GPU to be better utilized and to further accelerate video encoding.

The techniques and mechanisms described herein are directed at transmitting elementary streams in a broadcast environment. The mechanisms provide a buffer controller and packet scheduler that allow a media format to be transmitted through the broadcasting environment in a manner resulting in a low channel switch delay. A buffer-fullness indicator allows the operation with various types of decoders. A lower bound and an upper bound are calculated for each frame within the elementary stream. The lower bound corresponds to an earliest time for sending the frame without causing an overflow condition within a decoder buffer. The upper bound corresponds to a latest time for sending the frame without causing an underflow condition within the decoder buffer. A send time is then scheduled based on the lower bound and the upper bound that determines when a packet associated with the frame is transmitted over a channel in a broadcast environment.

Mechanism for transmitting elementary streams in a broadcast environment

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Beijing, China

Guangping Gao