At&t Intellectual Property I, L.p.

At+t Corp.

Hewlett-packard Development Company, L.p.

Other

At&t Bell Laboratories

Lucent Technologies Inc.

Purdue Research Foundation

American Telephone and Telegraph, Co.

At&t Ipm Corp.

Amy Ruth Reibman

Eric Martin Zavesky

David Crawford Gibbon

Lee Begeja

Behzad Shahraray

Bernard S Renger

Zhu Liu

Raghuraman Gopalan

Jan Philip Allebach

Mark Q Shaw

Chuohao Tang

Yao Rong Wang

Hamid Jafarkhani

Michael Orchard

Terry M Nelson

Barin Geoffry Haskell

Sean Michael Collison

Paul L Jeran

Leon Bottou

Chao Tian

Kenneth Shirley

Andrea Basso

Jay Stephen Gondek

David John Poole

Zhenhua Hu

Jan P Allebach

Rittwik Jana

Kadangode K Ramakrishnan

Bin Wei

Michael Rabinovich

Mark Edward Shaw

Gustavo De Los Reyes

Nicholas G Duffield

David Hilton Shur

Shih-Fu Chang

Yih-Farn Robin Chen

Schuyler Reynier Quackenbush

Zhen Xiao

Yennun Huang

Anthony Peter Holden

James H Snyder

Justin Che-I Chuang

Richard Eric Maggard

Zuguang Xiao

Caspar Horne

Francis M Ciaramello

Andrea Bassi

Paul Jeran

A method includes receiving, at a server from a user device, a request for media content. The request identifies a first personal quality profile. The method includes identifying, at the server, a version of the media content to send to the user device based on first media quality preferences indicated by the first personal quality profile. The method includes, in response to a determination of unavailability of the version from a content source: retrieving, at the server from the content source, a particular version of the media content; and modifying, at the server, a visual attribute of the particular version to generate the version. The method further includes sending the version from the server to the user device.

Delivery of media content to a user device at a particular quality based on a personal quality profile

A system, process and software that incorporate the subject disclosure may include, for example, identifying a condition that causes an impaired perception of an original media content item during a presentation. A media content modification is determined, wherein application of the media content modification to the original media content item results in a modified media content item. The modified media content item, when presented to the media presentation device, ameliorates the impaired perception of the media content item. The media content modification is applied to the original media content item resulting in the modified media content item. The modified media content item is presented at the media presentation device contemporaneously with the original media content item, allowing different viewers to observe the modified media content item simultaneously with the original. Other embodiments are disclosed.

Manipulation of media content to overcome user impairments

Aspects of the subject disclosure may include, for example, generating narrative descriptions corresponding to visual features, visual events, and interactions there between for media content, where the narrative descriptions are associated with time stamps of the media content, and presenting the media content and an audio reproduction of the narrative descriptions, wherein the audio reproduction is synchronized to video of the media content according to the time stamps. Other embodiments are disclosed.

Method and apparatus for augmenting media content

A method includes receiving, by a device, a first image of a scene and a second image of at least a portion of the scene. The method includes identifying a first plurality of features from the first image and comparing the first plurality of features to a second plurality of features from the second image to identify a common feature. The method includes determining a particular subset of pixels that corresponds to the common feature, the particular subset of pixels corresponding to a first subset of pixels of the first image and a second subset of pixels of the second image. The method also includes generating a first image quality estimate of the first image based on a comparison of a first degree of variation within the first subset of pixels and a second degree of variation within the second subset of pixels.

Image quality estimation using a reference image portion

A method that incorporates teachings of the subject disclosure may include, for example, determining, by a system comprising a processor, more common features of a plurality of images according to similarity matrices indicating relative similarities between instances of common features occurring within multiple images of the plurality of images, defining, by the system, cluster groups associated with the more common features, where each cluster group comprises cluster images of the plurality of images, and where the more common features are present in each the cluster images, and performing, by the system, quality-based filtering on the cluster images to identify a target cluster image to represent the cluster images for each of the cluster groups. Other embodiments are disclosed.

Method and apparatus for organizing media content

A method that incorporates teachings of the subject disclosure may include, for example, receiving, by a system comprising a processor, first media content from a service provider network over a high resolution channel at a first resolution, determining whether a first resolution exceeds a resolution threshold for viewing the first media content, transmitting a notification to the service provider network that the first resolution exceeds the resolution threshold, receiving the first media content from the service provider network over the high resolution channel at a second resolution according to the notification, wherein a difference between the first resolution and the second resolution provides unused bandwidth on the high resolution channel, and receiving second media content from the service provider network over the unused bandwidth of the high resolution channel. Other embodiments are disclosed.

Method and apparatus for providing media content

A method includes determining, at an image processing device, object quality values for a plurality of objects represented in an image. The object quality values are based on portions of image data for the image. The object quality values include a blurriness value for each object and a color value for each object. The method includes accessing, via the image processing device, object category metrics associated with an object category. The object category metrics include a blurriness metric for each object and a color metric for each object. The method also includes performing, with the image processing device, a particular image processing operation for the image based on comparisons of the object quality values for each object to corresponding object category metrics.

Object based image processing

In some examples, print quality diagnosis may include aligning corresponding characters between a scanned image of a printed physical medium aligned to a master image associated with generation of the printed physical medium to generate a common mask. Print quality diagnosis may further include determining, for each character of the scanned image, an average value associated with pixels within the common mask, and determining, for each corresponding character of the master image, the average value associated with pixels within the common mask. Further, print quality diagnosis may include determining, for each character of the common mask, a metric between the average values associated with the corresponding characters in the scanned and master images.

Print quality diagnosis

In some examples, a print cartridge includes a memory device comprising quantized coefficients derived from a lossy compression, at a selected step size, of a difference color table including a plurality of difference nodes in which each difference node represents a difference value that is a difference of a value of a node of a color table and a value of a corresponding node of a reference table, the quantized coefficients useable to produce a reconstructed difference color table including a first set of difference nodes each representing a difference value that is within an error threshold at the selected step size, and a second set of difference nodes each representing a difference value that is outside an error threshold at the selected step size. The memory device further comprises corrective information to correct the second set of difference nodes of the reconstructed difference color table.

Color table compression

In some examples, a component for a printing device includes a memory device comprising a plurality of corrective data to produce a corresponding plurality of color tables each customized for a respective media type of a plurality of media types, wherein a respective corrective data of the plurality of corrective data corresponds to nodes of a reference color table for the printing device that is able to accept the plurality of media types for printing. The respective corrective data includes a plurality of residual values to transform the nodes of the reference color table to a customized color table for use with a selected media type of the plurality of media types.

Component comprising a memory device including corrective data

A memory device includes a compressed color table and corrective information. The compressed color table includes a first set of nodes of the color table compressed with a lossy compression at a selected compression ratio. The first set of nodes include a color difference within an error threshold at the selected compression ratio. Corrective information is included for a second set of nodes of the color table. The second set of nodes have a color difference outside the error threshold.

In some examples, a supply component for a printing device includes a memory device comprising corrective data to produce a customized color table for a first color gamut, wherein the corrective data corresponds to nodes of a reference color table for the printing device that is able to employ a plurality of color gamuts for printing. The corrective data comprises a plurality of residual values to transform the nodes of the reference color table to the customized color table. The corrective data is accessible by the printing device to transform the reference color table to the customized color table used for printing to a media using the first color gamut.

Printing device supply component

In some examples, a fuser for a printing device includes a memory device comprising corrective data corresponding to a reference color table for the printing device that is able to operate in a plurality of different modes, the corrective data comprising quantized coefficients derived from a compression of a difference color table including a plurality of difference nodes in which each difference node represents a value that is to be combined with a corresponding node of the reference color table, the quantized coefficients useable to produce a reconstructed difference table. The corrective data including residue values to combine with the reconstructed difference table to produce a customized color table for a selected mode of the plurality of different modes.

A system that incorporates teachings of the present disclosure may include, for example, sampling a variable effect distribution of viewing preference data to determine a first set of effects comprising a plurality of first distortion type effects associated with a first distortion type of a first image and to determine a second set of effects comprising a plurality of second distortion type effects associated with the second distortion type of a second image, calculating a preference estimate from a logistic regression model of the viewing preference data according to the first set of effects and the second set of effects, wherein the preference estimate comprises a probability that the first image is preferred over the second image, and selecting one of the first distortion type or the second distortion type according to the preference estimate. Other embodiments are disclosed.

Method and apparatus for generating quality estimators

Growing community of inventors

Chatham, NJ, United States of America

Amy Ruth Reibman