Intel Corporation

Conexant Systems, Inc.

Other

Monet Networks, Inc.

Moxair, Inc.

Skyworks Solutions, Inc.

Anurag Bist

Stan Hsieh

Neil J Bershad

Parthasarathy Sriram

Ananth Sankar

Wei Wu

Zhen Zhu

Adam Strauss

Eric Leopold Frankel

David Romacho Rosell

Albert A-Chuan Hsueh

Ramon Solves Pujol

Raghavendra S Prabhu

Saurin Shah

Praveen Dua

Manoj Mehta

Chris Lawton

Dianne L Steiger

Sriram Sundararajan

Hamid Lalani

In the present embodiment, a system and a method for tagging a content based on individual cues, emotional score or emotional profile is provided, where the content is a video file, a webpage, a mobile application, a product review or product demo video. The method involves authorizing a user to access the content; capturing a user specific data, an application details and a content specific data in response to the content in real-time; analyzing the captured user specific data, the application detail and the content specific data to generate a user emotional profile; and tagging the user emotional profile with the content in a time granular manner.

System and method for segment relevance detection for digital content

A system and method for media content evaluation based on combining multi-modal inputs from the audiences that may include reactions and emotions that are recorded in real-time on a frame-by-frame basis as the participants are watching the media content is provided. The real time reactions and emotions are recorded in two different campaigns with two different sets of people and which include different participants for each. For the first set of participants facial expression are captured and for the second set of participants reactions are captured. The facial expression analysis and reaction analysis of both set of participants are correlated to identify the segments which are engaging and interesting to all the participants.

System and method for segment relevance detection for digital content using multimodal correlations

A system and a method for generating an emotional profile of the user and deriving inference from the analytics of generated emotional profile is provided. The method involves sharing media content or online event in a connected environment; capturing user's reaction to the said content or event; generating an emotional score of the user to rate the media content or event; and sharing the emotional score within the connected environment.

System and method for granular tagging and searching multimedia content based on user reaction

System and method for personalized media rating and related emotional profile analytics

In visual display devices such as LCD devices with backlight illumination, the backlight typically consumes most of device battery power. In the interest of displaying a given pixel pattern at a minimized backlight level, the pattern can be transformed while maintaining image quality, with a transform determined from pixel luminance statistics. Aside from, or in addition to being used for such minimizing, a transform also can be used for image enhancement, for a displayed image better to meet a visual perception quality. In either case, the transform preferably is constrained for enforcing one or several display attributes. In a network setting, the technique can be implemented in distributed fashion, so that subtasks of the technique are performed by different, interconnected processors such as server, client and proxy processors.

Distributed processing for video enhancement and display power management

In visual display devices such as LCD devices with backlight illumination, the backlight typically consumes most of device battery power. In the interest of displaying a given pixel pattern at a minimized backlight level, the pattern can be transformed while maintaining image quality, with a transform determined from pixel luminance statistics. Aside from, or in addition to such minimizing, a transform also can be used for image enhancement, for a displayed image better to meet a visual perception quality. In either case, the transform preferably is constrained for enforcing one or several display attributes.

Video enhancement and display power management

An embodiment of the present invention includes an adaptive predictor, a system white noise generator, and a background noise estimator. The adaptive predictor estimates adaptive weights of autoregressive (AR) model of background noise as background samples in an echo canceler. The adaptive predictor generates adaptive error. The system white noise generator generates a white noise using the adaptive error. The noise background estimator estimates the background noise using the white noise and the estimated adaptive weights.

Noise matching for echo cancellers

A method and apparatus for adapting dual filters is disclosed. In one aspect, a method may include transforming a signal, adapting a first adaptive filter based on the transformed signal, estimating a delay of an impulse response based on the adaptation of the first filter, delaying a signal based on the estimated delay, and adapting a second adaptive filter based on the delayed signal. In one aspect, an echo or other unwanted signal may be reduced or cancelled based on the adaptation of the second filter.

Dual adaptive filter apparatus and method

The present invention is an echo canceller for sparse channels in an echo channel. The echo channel receives a far-end input and a near-end input. An enable generator asserts a sparse update enable in response to detecting at least one of the double talk condition and an impulse response change. A main weight updater transfers shadow weights of the shadow filter to N sets of sparse weights in N sparse filters of the main filter according to the sparse update enable. A sparse main filter filters the far-end input non-adaptively to generate a main output. A long shadow filter filters the far-end input adaptively to generate a shadow output and to estimate delays of peaks of the sparse weights in the main filter.

Echo cancellers for sparse channels

Disclosed is an integrated tone detection processor for discriminating between tone and voice signals and determining the tones. The tone detection processor performs Automatic Gain Control (AGC) to normalize the power of the tone or voice signal. Further, the energy of the tone or voice signals are determined at specific frequencies utilizing a Goertzel Filter process. The tone detection processor determines whether or not a tone is present, and if a tone exists, determines the type of tone. Based upon determining the two maximum energy levels of the Goertzel filtered tone, whether the tone is a single tone, dual tone, silence, or other (e.g. speech) can be discriminated. The tone can then be identified by a user-defined dictionary of tones. Based upon various ON and OFF cadence checks in combination with the use of TONE ON and TONE OFF counters, tones can be declared.

Tone detection for integrated telecommunications processing

One aspect of the invention relates to a messaging communication scheme for controlling, configuring, monitoring and communicating with a signal processor within a Voice Over Packet (VoP) subsystem without knowledge of the specific architecture of the signal processor. The messaging communication scheme may feature the transmission of control messages between a signal processor and a host processor. Each control message comprises a message header portion and a control header portion. The control header portion includes at least a catalog parameter that indicates a selected grouping of control messages and a code parameter that indicates a selected operation of the selected grouping.

System and method for controlling signal processing in a voice over packet (VoP) environment

A first adaptive filter having a first filter length estimates a channel weight vector of an echo channel using an affine projection (AP) update. The echo channel receives a send input sequence and a receive input sequence. The echo channel has a plurality of sparse multi-path channels. A delay estimator determines a plurality of delays in the echo channel using the estimated channel weight vector. A second adaptive filter estimates a plurality of short weight vectors using the AP update and the plurality of delays. The short weight vectors correspond to the sparse multi-path channels. Each of the short weight vectors has a short filter length.

Fast converging affine projection based echo canceller for sparse multi-path channels

A network echo canceller for integrated telecommunications processing. The network echo canceller processes echoes in multiple communication channels over a packet network. The network echo canceller adapts a least means squared finite impulse response filter to each communication channel in order to estimate an echo therein. The echo estimation is subtracted from signals that are being sent over each communication channel. The echo canceller includes a residual error suppressor to suppress non-linear sources of echo when desired. The echo canceller includes a double talk detector to inhibit filter adaptation during double talk. The network echo canceller is programmable into a digital signal processor and can be flexibly controlled through messaging.

Network echo canceller for integrated telecommunications processing

Apparatus and methods are provided for encoding video data in a manner which significantly reduces the computation performed by the video encoder and the video decoder without suffering any degradation in the perceived quality of the compressed video data. In particular, apparatus and methods are provided for determining which blocks might be zeroed out after quantization. This determination is performed after motion estimation, the classification of the frame as either an I frame, P frame, or a B frame, and the determination of a quantization step size (QP) for the block, but before DCT. If a given block is determined to be a &ldquo;zero&rdquo; quantized block, then the DCT, quantization, zig-zag scan and variable length coding steps are omitted, and a variable length code output is provided indicating that the block B is a &ldquo;zero&rdquo; quantized block. The present invention determines which blocks might be zeroed out after quantization by using one or more key features of the motion compensated blocks which will help in classifying these blocks into zero and nonzero blocks. Examples of these features include the mean absolute value of a block, the mean square error of a block, the block variance, the mean absolute difference of a block, and the maximum value in a block. Each feature is provided with a predetermined threshold that has been experimentally calculated.

Method and apparatus for motion compensated video coding

An adaptive filter estimates a channel weight vector of an echo channel using an affine projection (AP) update. The echo channel receives a send input sequence and a receive input sequence. The channel weight vector has first and second lengths when the adaptive filter operates in a first adaptation mode and a second adaptation mode, respectively. A delay estimator determines a delay in the echo channel using the adaptive filter in the first adaptation mode.

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Newport Beach, CA, United States of America

Anurag Bist