2383 results about "Textual information" patented technology

An approach is provided for supporting multi-media conferencing. Textual information (e.g., text associated with a presentation) is received for display during a conference session to multiple participants. For a particular participant, configuration information corresponding to the participant specifies language assistance for the textual information. Language assistance involves augmenting the textual information according to the configuration information for comprehension of the textual information by the particular participant. In one embodiment, the augmented textual information includes language translation of the textual information. Additionally, the augmented textual information can encompass definitions of terms, including acronyms. The augmented textual information is forwarded for display to the participant during the conference session.

A system, method and article of manufacture are provided for allowing concept based information searching. Textual information is collected utilizing a network. The textual information is parsed to create topic specific information packets, which are stored in an information cache. The system parses a user query and compares the parsed user query with the information packets in the information cache to locate matching information packets and displays the matching information packets to a user.

A subscriber characterization system is presented in which the subscriber's selections are monitored, including monitoring of the time duration programming is watched, the volume at which the programming is listened to, and any available information regarding the type of programming, including category and sub-category of the programming. The characterization system can extract textual information related to the programming from closed captioning data, electronic program guides, or other text sources associated with the programming. The extracted information is used to form program characteristics vectors. The programming characteristics vectors can be used in combination with the subscriber selection data to form a subscriber profile. Heuristic rules indicating the relationships between programming choices and demographics can be applied to generate additional probabilistic information regarding demographics and programming and product interests.

Disclosed is a method for linguistic pattern recognition of information. Initially, textual information is retrieved from a data source utilizing a network. The textual information is then segmented into a plurality of phrases, which are then scanned for patterns of interest. For each pattern of interest found a corresponding event structure is built. Event structures that provide information about essentially the same incident are then merged.

A system and method for generating context vectors for use in storage and retrieval of documents and other information items. Context vectors represent conceptual relationships among information items by quantitative means. A neural network operates on a training corpus of records to develop relationship-based context vectors based on word proximity and co-importance using a technique of “windowed co-occurrence”. Relationships among context vectors are deterministic, so that a context vector set has one logical solution, although it may have a plurality of physical solutions. No human knowledge, thesaurus, synonym list, knowledge base, or conceptual hierarchy, is required. Summary vectors of records may be clustered to reduce searching time, by forming a tree of clustered nodes. Once the context vectors are determined, records may be retrieved using a query interface that allows a user to specify content terms, Boolean terms, and / or document feedback. The present invention further facilitates visualization of textual information by translating context vectors into visual and graphical representations. Thus, a user can explore visual representations of meaning, and can apply human visual pattern recognition skills to document searches.

An approach is provided for enhancing verbal communication sessions. A verbal component of a communication session is converted into textual information. The converted textual information is scanned for a text string to trigger an application. The application is invoked to provide supplemental information about the textual information or to perform an action in response to the textual information for or on behalf of a party of the communication session. The supplemental information or a confirmation of the action is transmitted to the party.

A server in a network gathers textual information, such as news items, E-mail and the like. From that information, the server develops or identifies messages for use by individual subscribers. The same server that accumulates the text messages or another server in the network converts the textual information in each message to a sequence of speech synthesizer instructions. The converted messages, containing the sequences of speech synthesizer instructions, are transmitted to each identified subscriber's terminal device. A synthesizer in the terminal generates an audio waveform signal, representing the speech information, in response to the instructions. In the preferred embodiment, the terminals utilize concatenative type speech synthesizers, each of which has an associated vocabulary of stored fundamental sound samples. The instructions identify the sound samples, in order. The instructions also provide parameters for controlling characteristics of the signal generated during waveform synthesis for each sound sample in each sequence. For example, the instructions may specify the pitch, duration, amplitude, attack envelope and decay envelope for each sample. The division of the text to speech synthesis processing between the server and the terminals places the cost of the front end processing in the server, which is a shared resource. As a result, the hardware and software of the terminal may be relatively simple and inexpensive. Also, it is possible to upgrade the quality of the synthesis by upgrading the server software, without modifying the terminals.

This invention is a system and method to perform categorization (classification) of multimedia items. These items are comprised of a multitude of disparate information sources, in particular, visual information and textual information. Classifiers are induced based on combining textual and visual feature vectors. Textual features are the traditional ones, such as, word count vectors. Visual features include, but are not limited to, color properties of key intervals and motion properties of key intervals. The visual feature vectors are determined in such a fashion that the vectors are sparse. The vector components are features such as the absence or presence of the color green in spatial regions and the absence or the amount of visual flow in spatial regions of the media items. The text and the visual representation vectors are combined in a systematic and coherent fashion. This vector representation of a media item lends itself to well-established learning techniques. The resulting system, subject of this invention, categorizes (or classifies) media items based both on textual features and visual features.

A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operations that have been performed on the data. A system or method consistent with the present invention determines and displays the relative content and context of related information and is operative to aid in identifying relationships among disparate data types. Various data types, such as numerical data, protein and DNA sequence data, categorical information, and textual information, such as annotations associated with the numerical data or research papers may be correlated for visual analysis. A variety of user-selectable views may be correlated for user interaction to identify relationships that exist among the different types of data or various operations performed on the data.Furthermore, the user may explore the information contained in sets of records and their associated attributes through the use of interactive 2-D line charts and interactive summary miniplots.

Serving advertisements with (e.g., in) audio documents may be improved by (a) accepting at least a portion of a document including audio content, (b) analyzing the audio content to determine relevancy information for the document, and (c) determining at least one advertisement relevant to the document using at least the relevancy information and serving constraints associated with advertisements. The advertisements may be scored if more than one advertisement was determined to be relevant to the document. Then, at least one of the advertisements to be served with an ad spot for the document may be determined using at least the scores. Examples of documents include radio programs, live or recorded musical works with lyrics, live or recorded dramatic works with dialog or a monolog, live or recorded talk shows, voice mail, segments of an audio conversation, etc. The audio content may be analyzed to determine relevancy information for the document by converting the audio content to textual information using speech recognition. Then, relevancy information may be determined from the textual information.

A system for computer-based storing of information about a current state so that later recall of the information can augment human memories. In particular, when information about a current event of interest is to be stored, a variety of current state information of different types (e.g., video, audio, and textual information) about the environment and about a user can be acquired via sensors and other input devices. The variety of state information can then be associated together as a group and stored for later retrieval. Other information can also be associated with the group, such as one or more recall tags that facilitate later retrieval of the group, or one or more annotations to provide contextual information when the other state information is later retrieved and presented to the user. When information about a past event is to be recalled, one or more identifying recall tags can be received that are used to identify one or more state information groups that match the identifying tags. Some or all of the previously-acquired state information for the identified state information groups can then be presented to the user on appropriate output devices. Other information, such as annotations, can also be presented to the user in order to describe the state information and thus assist the user's recollection of the previous state when the information was stored.

A highly integrated and flexible system for vending products and services to consumers. The system receives information in advance of the vend by having the consumer insert an identification (ID) card, preferably a driver's license, into a point-of-purchase terminal (referred to as an OSU device). The OSU device preferably contains an Optical Scanning Unit (OSU), capable of scanning the textual information on the ID card. In one embodiment, the scanned information is compared against optical templates present in the system to discern or verify the information on the ID card, and is then used by the system to enable or disable the vending transaction, and / or to allow access to several preregistered system accounts.

An improved augmented reality (AR) system integrates a human interface and computing system into a single, hand-held device. A touch-screen display and a rear-mounted camera allows a user interact the AR content in a more intuitive way. A database storing graphical images or textual information about objects to be augmented. A processor is operative to analyze the imagery from the camera to locate one or more fiducials associated with a real object, determine the pose of the camera based upon the position or orientation of the fiducials, search the database to find Graphical images or textual information associated with the real object, and display graphical images or textual information in overlying registration with the imagery from the camera.

This invention provides a video search system based on content including an analysis server of video, phone, caption and man-face, a merging analysis server, a video search server cluster and a search dispatch server, in which, the analysis server can analyze and pick up video content information from the video and generate related spelling pattern information by analyzing audio signals to set up video index by analyzing and describing video content word information, the merging analyzing system merges data got from video analysis, phone analysis and caption analysis to generate index information, the video index server cluster stores the video content and the structure by the analysis system, the search system can enquires various information and feed back the result to the search dispatch server, which receives the research request of the customer end to analyze and transmit the request to the research cluster and generate ordered enquiry result.

The present invention comprises a method, apparatus, and computer program product for providing a graphical user interface (GUI) with a linear map component. A database that includes data representing transportation segments and point of interest (POI) features is employed. Once the desired location is determined, the data relating to it is extracted from the database and presented to the user in a GUI in which individual transportation segments along the predetermined route or projected path of travel are shown in a linear format. The linear formatted segments are oriented vertically in the map display or printout in order to easily accommodate the display of textual information and / or links associated with POIs along the path of travel. Further information is displayed pursuant to user selection of links or icons in the main GUI screen.

A method and system are provided for tagging, indexing, searching, retrieving, manipulating, and editing video images on a wide area network such as the Internet. A first set of methods is provided for enabling users to add bookmarks to multimedia files, such as movies, and audio files, such as music. The multimedia bookmark facilitates the searching of portions or segments of multimedia files, particularly when used in conjunction with a search engine. Additional methods are provided that reformat a video image for use on a variety of devices that have a wide range of resolutions by selecting some material (in the case of smaller resolutions) or more material (in the case of larger resolutions) from the same multimedia file. Still more methods are provided for interrogating images that contain textual information (in graphical form) so that the text may be copied to a tag or bookmark that can itself be indexed and searched to facilitate later retrieval via a search engine.

This invention provides a system and method for providing a user an artificial intelligence based bilingual annotation, displayed in a callout associated with the user's mouse pointer, on a piece of textual information contained in a segment of text adjacent to, or overlaid by, the user's mouse pointer while the user is reading an electronic document on the computer screen.

A method is provided for optimizing an objective measure used to estimate mean opinion score or naturalness of synthesized speech from a speech synthesizer. The method includes using an objective measure that has components derived directly from textual information used to form synthesized utterances. The objective measure has a high correlation with mean opinion score such that a relationship can be formed between the objective measure and corresponding mean opinion score. The objective measure is altered to provide a different function of textual information derived from the utterances so as to improve the relationship between the scores of the objective measure and subjective ratings of the synthesized utterances.

A system, method, and computer-program product is provided for answering a natural language query in an automated manner. The answer is drawn from a body of textual information. Concepts in the body of textual information in a domain are expressed as a set of semantic headers. The semantic headers represent formalizations of select concepts in the information domain, and are created on the basis of expected queries. Moreover, queries are reduced to a canonical form. The answering process comprises the step of matching the formalized query, or translation formula, to one or more semantic headers. The pieces of text which correspond to those semantic headers are returned to the user as answers. The generality of a translation formula can be controlled. Steps can be taken to make the translation formula more general or less general. A user can clarify a translation formula if necessary. If the user provides a term that is not immediately recognized, then the user will be presented with a number of options. Each option represents one way in which the term in question can be clarified. The invention can then incorporate the new term into the translation formula and attempt to match one or more appropriate semantic headers. In addition, the domain can be expanded by parties other than the provider of the domain.

A computer implemented natural language processing method, the method including the steps of: analysing a sentence string within textual information to determine sub-components of the sentence string, assigning one or more unique tokens to each determined sub-component, determining a probability of use that a determined sub-component has one or more specific meanings, based on the determined probability of use, creating a valid set of unique tokens that are associated with the sentence string, and linking verb sub-components associated with one or more of the unique tokens in the valid set of unique tokens to a pre-defined limited sub-set of verbs to create an identification tuple that maps onto the sub-set of verbs.

Scheme for the automated apprehension of textual information conveyed in an input string. The input string is segmented to generate segments and / or semantical units. The following steps are repeated for each segment in the input string until a subset for each segment in said input string is identified:a. identifying a matching semantical unit in a fractal hierarchical knowledge database of semantical units and pointers, said matching semantical units being deemed to be related to a segment of said input string,b. determining the fitness of said matching semantical unit by taking into consideration said semantical unit's associations,c. defining a subset of information related to said matching semantical unit within said fractal hierarchical knowledge database.Then these subsets are combined to form a resulting semantic network.

The techniques described include generating tonal information from a textual entry and, further, applying this tonal information to PINYIN sequences using decision trees. For example, a method of predicting tone pattern information for textual information used in telecommunication systems includes parsing a textual entry into segments and identifying tonal information for the textual entry using the parsed segments. The tonal information can be generated with a decision tree. The method can also be implemented in a distributed system where the conversion is done at a back-end server and the information is sent to a communication device after a request.

The present invention involves detecting unsolicited electronic mail distributed in bulk. In one embodiment, a method for automatically processing electronic mail loads an electronic mail message. Non non-textual information is removed from the electronic mail message. A first portion from the electronic mail message is located and a first code smaller than the first portion and indicative of the first portion is generated. A second portion from the electronic mail message is located and a second code smaller than the second portion and indicative of the second portion is generated. The first code and the second code are stored.

This invention is a business system and method to perform categorization (classification) of multimedia items and to make business decisions based on the categorization of the item. The multimedia items are comprised of a multitude of disparate information sources, in particular, visual information and textual information. Classifiers are induced based on combining textual and visual feature vectors. Textual features are the traditional ones. Visual features include, but are not limited to, color properties of key intervals and motion properties of key intervals. The visual feature vectors are determined in such a fashion that the vectors are sparse. The text and the visual representation vectors are combined in a systematic and coherent fashion. This vector representation of a media item lends itself to well-established learning techniques and can be used for multimedia item categorization. The resulting business system, subject of this invention, can be used for many purposes. An example here are enforcement of copyright, trademark, intellectual property, parental guidance and common decency restrictions. Other uses are multimedia item classifier to determine routing of incoming items or building user profiles based on user multimedia preferences.

Methods and apparatus are described which provide secure interactive communication of text and image information between a central server computer and one or more client computers located at remote sites for the purpose of storing and retrieving files describing and identifying unique products, services, or individuals. Textual information and image data from one or more of the remote sites are stored separately at the location of the central server computer, with the image data being in compressed form, and with the textual information being included in a relational database with identifiers associated with any related image data. Means are provided at the central computer for management of all textural information and image data received to ensure that all information may be independently retrieved. Requests are entered from remote terminals specifying particular subject matter, and the system is capable of responding to multiple simultaneous requests. Textural information is recalled and downloaded for review, along with any subsequently requested image data, to be displayed at a remote site. Various modes of data and image formatting are also disclosed, including encryption techniques to fortify data integrity. The server computers may be interfaced with other computers to effect financial transactions, and images representing the subjects of transactions may be uploaded to the server computer to create temporary or permanent records of financial or legal transactions. A further feature of the system is the ability to associate an identification image with a plurality of accounts, transactions, or records.