Microsoft Technology Licensing, LLC

Verizon Patent and Licensing Inc.

Webtv Networks, Inc.

Domatic, Inc.

Andrew Walters

John Allen Tardif

Ankur Varma

James Lundblad

J Wiltse Carpenter

James Armand Baldwin

Shankar Moni

Ravi Kalluri

Youhong Lu

Padma Parthasarathy

Peter Ian Macdonald

Luigi Bojan

Brian Lloyd Schmidt

Yadong Wang

Hedley C Davis

Michael Victor Smith

Gladys Wong

Vasanthi Vuppuluri

Gladys Yuan Yan Wong

Vyacheslav Gurevich

Sajid Salim Topiwala

This invention allows an end user ('client') to access one of any number of devices via a server (or cluster of server instances). Each device may be in a different physical location and different location on the Internet or other network. Each device might also be behind a router or firewall that makes direct access to the device impossible. Clients may optionally be authenticated to ensure they are authorized to access a particular device, and devices may also be authenticated to verify their identity to prevent spoofing. Access to a device is achieved by tunneling network requests over a persistent connection that the device establishes when it first comes online.

System and method for tunneling network requests to a device via a persistent connection

A system for delivering power and data over a single wire via a hub, wherein the hub can control and power multiple low-power Class 2 circuits. The hub can be controlled remotely through a computing device such as a mobile phone or a computer.

Intelligent low-voltage power delivery system and method

A method, a device, and a non-transitory storage medium are described in which a power of late reverberation of a speech signal is estimated based on early samples of the speech signal. The power of the late reverberation may be subtracted linearly or non-linearly from the speech signal.

Audio processing for speech

Techniques, described herein, may enable a computing device (e.g., a set-top-box, a user equipment (UE), etc.) with an array of sensors (e.g., microphones, antennas, etc.) to engage in beamforming in a manner that optimizes the signal strength of the target signal. For example, the computing device may create an optimized beam pattern by applying a pre-selected band width to a steering direction of the target signal. The beam width may include steering vectors at equal, angular distances from the steering direction, enabling steep transition slopes to be applied to the optimized beam pattern. In some implementations, the beam width and transition slopes may be standardized, such that the optimized beam pattern for any signal may be uniform, regardless of variables such as frequency and time.

Beamforming optimization for receiving audio signals

Techniques are described to provide closed captioning preferences. In an implementation, a user interface is output that is configured to accept preferences for a plurality of closed captions. A first one of the closed captions is output, based on the preferences, when available via a particular channel. A second one of the closed captions is output, based on the preferences, when the first closed caption is not available via the particular channel.

Closed captioning preferences

Systems and methods for providing multi-channel audio using a reduced amount of resources for the decoding process. A 5.1 channel audio stream is divided into three stereo streams. The packets from each of three stereo streams are multiplexed to create a pseudo-5.1 channel audio stream. The pseudo 5.1 channel audio stream is then decoded and demultiplexed at the output to create the output 5.1 channel audio sound. As such, the decoder resources only have decode a single pseudo 5.1 stream. This technique is equally applicable to 7.1 or other multi-channel formats.

Packet multiplexing multi-channel audio

Systems and methods for transcoding a transport stream or a video stream. A video stream includes a quantization matrix and a quantization scale that define how DCT frequency coefficients are quantized. A transport stream is transcoded by updating the quantization matrix and/or the quantization scale such that a new set of DCT frequency coefficients may be generated. Typically the quantization scale and/or the quantization matrix are updated such that the DCT frequency coefficients are more coarsely quantized such that their encoding consumes fewer bits. The quantization matrix can be updated such that select frequency coefficients are affected. Transcoding can operate at any level of the video stream, such as the frame level, the slice level, or the macroblock level. The bit rate of the video stream can therefore be adjusted or altered according to a current quantization level and a current bit rate.

Non-compensated transcoding of a video stream

Designed for use with widescreen TVs or high-end TVs with a mode for accommodating anamorphic programs, an EPG client is equipped with an electronic program guide (EPG) and a letterbox-to-anamorphic converter. The EPG client evaluates EPG data to determine whether programs are in the letterbox format. When a letterboxed program is selected for viewing, the EPG client vertically stretches the program by a ratio of M/N, where M&#x3e;N (e.g., 4/3), to convert the program from the letterbox format to an anamorphic format prior to delivery to the television. The converted anamorphic program is output to the television, where it is horizontally expanded to fit the screen.

EPG-conditioned letterbox-to-anamorphic conversion

Embedding endianness information within data and sending and receiving data with the embedded endianness information. Data may be contained in a data structure. To embed endianness information in a data structure, unused bits in a data structure are identified. A number of the unused bits are then selected based on the possible unpacking combinations of the data structure. The endian bit values are set to a pattern to indicate the endianness of the data structure. Data that has been packed by a transmitting module can be unpacked by a receiving module based on the detected endian bits. An algorithm may be used to determine which unused bits to select as the endian bits.

Endianness independent data structures

The arrangements and procedures of this invention adaptively process video data. Specifically, at least first and second fields of an interlaced frame are deinterlaced to form intermediate progressive first and second frames. The first intermediate progressive frame includes scanlines of a first temporal instant. The second intermediate progressive frame includes scanlines of a second temporal instant. The first and second temporal instants are different from one another. The first and second intermediate progressive frames are independently resampled to form respective first and second resampled frames. Scanlines from the first and second resampled frames are interleaved to generate a resampled interlaced frame.

Adaptive video data frame resampling

Adaptive deinterlacing of interlaced video to generate a progressive frame on a per pixel basis. Two consecutive fields of interlaced video are converted into a frame of progressive video. One of the fields is replicated to generate half the lines in the progressive frame. Each of the pixels in the other half of the progressive frame are generated pixel-by-pixel. For a given output position of the pixel in the other half of the progressive frame, a correlation is estimated between the corresponding pixel in the non-replicated field and at least one vertically adjacent pixel of the replicated field, and optionally one or more vertically adjacent pixels in the non-replicated fields. Also, three consecutive input fields of interlaced video may be converted into two output fields of interlaced video on a per pixel basis taking into consideration differences in the consecutive input fields.

Adaptively deinterlacing video on a per pixel basis

Systems for adaptively deinterlacing interlaced video to generate a progressive frame on a per pixel basis. Two consecutive fields of interlaced video are converted into a frame of progressive video. One of the fields is replicated to generate half the lines in the progressive frame. Each of the pixels in the other half of the progressive frame are generated pixel-by-pixel. For a given output position of the pixel in the other half of the progressive frame, a correlation is estimated between the corresponding pixel in the non-replicated field and at least one vertically adjacent pixel of the replicated field, and optionally one or more vertically adjacent pixels in the non-replicated fields. A value is then assigned to the output pixel that corresponds to the output position, the value depending on the correlation.

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Andrew Walters