A morphable model for the synthesis of 3D faces

The method, program and system secures sensitive data/objects found in a data source document with an editor. The simple editor identifies and displays, in situ, the sensitive words/objects per each security level. Level tags are inserted and adjunctive words/objects are marked/displayed per the level's protocol. The precursor document is processed to extract sensitive and adjunctive words/objects. The stripped data is either separately stored or partial versions of the secured document are stored per protocol. A comprehensive editor secures content data and meta data contained in a data document object model (DOM). The editor maps the source document root, branch and leaf components as binary files populated with content data and meta data. Security introns, earlier identified based upon the level's informational attributes, are excluded. Security exons are copied from the source content and meta data binary files into a security safe document (template). Filtration, extraction, dispersal and storage follow.

Data security system and method with editor

The method for securing data includes establishing a group of security sensitive items, filtering data and extracting and separating the security items from remainder data. The filtered data are separately stored (locally on a PC or on another computer in a LAN or WAN or on the Internet.) A map may be generated. The filter and/or map may be destroyed or stored. The data input, extracted data and remainder data may be deleted from the originating computer. Encryption may be utilized to enhance security (including transfers of data, filter and map). Reconstruction of the data is permitted only in the presence of a predetermined security clearance. A plurality of security clearances may be used to enable a corresponding plurality of partial, reconstructed views of the plaintext (omitting higher security words). A computer readable medium containing programming instructions and an information processing system is encompassed.

Data security system and method

Distributed computer system processes data having select content (SC) represented by one or more predetermined words, characters, etc. The system has a plurality of SC data stores in a server cloud for respective security designated (Sec-D) data and scarcity designated (S-D) data, each with respective access controls thereat. The SC data stores are is operatively coupled on a network. An identification module for identifying SC data stores for the Sec-D data and S-D data in the server cloud. A processor activates an SC data stores in the server cloud thereby permitting access to the SC data stores and respective Sec-D data and S-D data based upon an application of one or more of said access controls thereat. The processor has a reconstruction module operating as a data process employing the respective access controls to combine one or more of the Sec-D data and S-D data.

Digital information infrastructure and method

A method and system processes data in a distributed computing system to survive an electromagnetic pulse (EMP) attack. The computing system has proximal select content (SC) data stores and geographically distributed distal data stores, all with respective access controls. The data input or put through the computing system is processed to obtain the SC and other associated content. The process then extracts and stores such content in the proximal SC data stores and geographically distributed distal SC data stores. The system further processes data to geographically distribute the data with data processes including: copy, extract, archive, distribute, and a copy-extract-archive and distribute process with a sequential and supplemental data destruction process. In this manner, the data input is distributed or spread out over the geographically distributed distal SC data stores. The system and method permits reconstruction of the processed data only in the presence of a respective access control.

Electromagnetic pulse (EMP) hardened information infrastructure with extractor, cloud dispersal, secure storage, content analysis and classification and method therefor

A method of automatically extracting metadata from a document. The method of the invention provides a computer readable document that includes blocks comprised of words, an authority list that includes common uses of a set of words, and a neural network trained to extract metadata from groupings of data called compounds. Compounds are created with one compound describing each of the blocks. Each compound includes the words making up the block, descriptive information about the blocks, and authority information associated with some of the words. The descriptive information may include such items as bounding box information, describing the size and position of the block, and font information, describing the size and type of font the words of the block use. The authority information is located by comparing each the words from the block to the authority list. The compounds are processed through the neural network to generate metadata guesses including word guesses, compound guesses and document guesses along with confidence factors associated with the guesses indicating the likelihood that each of the guesses is correct. The method may additionally include providing a document knowledge base of positioning information and size information for metadata in known documents. If the document knowledge base is provided, then the method includes deriving analysis data from the metadata guess and comparing the analysis data to the document knowledge base to determine metadata output.

Automatic extraction of metadata using a neural network

A sequence of templates (22) is determined. Each of the templates (22) defines a spatiotemporal layout of regions in a display area (38). Each of the regions is associated with a set of one or more image selection criteria and a set of one or more temporal behavior attribute values. For each of the templates (22), an image layer for each of the regions of the template is ascertained. For each of the layers (18), an image element (30) is assigned to the region in accordance with the respective set of image selection criteria. For each frame (20) in a frame sequence, a set of rendering parameter values is produced, where each set specifies a composition of the respective frame in the display area (38) based on a respective set of the image layers (18) determined for the templates (22) and the respective sets of temporal behavior attribute values.

Dynamic image collage

A method of quickly and automatically comparing a new document to a large number of previously seen documents and identifying the document type. First, provide a plurality of document type distributions, each document type distribution describes layout characteristics of an independent document type and may include a plurality of data points. Each document type distribution includes data derived from at least one basis document signature which may include data defining pixels of a low-resolution image of the independent basis document resolved to between 1 and 75 dots per inch or may include document segmentation data derived from the independent basis document. Next provide a new electronic document. Then create new document signature from the new electronic document. Next, distances between the new document signature and each of the plurality of document type distributions are calculated using an algorithm based on a Bayesian framework for a Gaussian distribution. The distances calculated may be Euclidean distances or may be Mahalanobis distances. Additionally, calculating the distances may include weighting the value given each of a plurality of data points in the document signatures based on the usefulness of each of the plurality of data points in distinguishing between the document signatures. Next, select at least one candidate document type for the new electronic document from among the independent document types described by the plurality of document type distributions. The selection of the at least one candidate document type may include selecting a preselected fixed number of the independent document types or may include selecting the independent document types described by those of the plurality of document type distributions having calculated distances that are within a preselected threshold distance of the smallest of the distances calculated. In addition, the invention provides for a program storage medium readable by computer, tangibly embodying a program of instructions executable by the computer to perform the method steps described above.

Automatic categorization of documents using document signatures

Systems and methods of face and skin sensitive image enhancement are disclosed. In one aspect, a face map (60) that includes for each pixel of an input image (24) a respective face probability value indicating a degree to which the pixel corresponds to a human face is calculated. A skin map (62) that includes for each pixel of the input image (24) a respective skin probability value indicating a degree to which the pixel corresponds to human skin is ascertained. The input image (24) is enhanced with an enhancement level that varies pixel-by-pixel in accordance with the respective face probability values and the respective skin probability values. In another aspect, a facial content measurement value indicating a degree to which an input image (24) contains human face content is ascertained. A tone-correction process is tuned in accordance with the facial content measurement value. The input image (24) is enhanced in accordance with the tuned tone-correction process.

Face and skin sensitive image enhancement

Provided is a multimedia presentation apparatus comprising: a playback module operable to playback multimedia content; a sensor module operable to measure a characteristic of the behavior of at least one individual in an audience indicative of attention paid by the at least one individual to the multimedia content; a processing module for determining a state of the audience based on the characteristic of the at least one individual, and for selecting multimedia content for playback based on the state of the audience.

Darryl Greig

Papers

Automatic extraction of metadata using a neural network

Dynamic image collage

Automatic categorization of documents using document signatures

Face and skin sensitive image enhancement

Multimedia presentation apparatus, method of selecting multimedia content, and computer program product