 Methods for creating and editing topics for virtual robots conversing in natural language |
| The present invention meets the aforementioned needs by providing automated methods of editing and ... |
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| Method for communicating within a chat topic in a wireless communication system |
| OF THE INVENTION Referring to FIG. 1, an electronic block diagram of a wireless communication ... |
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| Method of authorizing receipt of instant messages by a recipient user |
| An exemplary table, such as shown in FIG. 1, illustrates the control processes that a potential ... |
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| Computer node architecture comprising a dedicated middleware processor |
| OF THE INVENTION FIG. 1 shows a system of four multicomputer node computers that exchange data via ... |
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| Reduced keyboard disambiguating system |
| The present invention provides a reduced keyboard using word level disambiguation to resolve ... |
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| Video-based rendering |
| OF THE PREFERRED EMBODIMENTS In the following description of the preferred embodiments of the ... |
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| Device and method of browsing an image collection |
| The invention claimed is: 1. A device for browsing an image collection, comprising browsing means ... |
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| Computer system having fixed computers and mobile computers |
| OF PREFERRED EMBODIMENTS Referring firstly to FIG. 1 it can be seen that there is provided an ... |
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| Method and apparatus for synchronizing firmware |
| The invention is a method and apparatus for synchronizing firmware, such as versions of software, ... |
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Fundamental entity-relationship models for the generic audio visual data signal description
| Details |
Inventors: Benitez, Ana B.; Jaimes, Alejandro; Chang, Shih-Fu; Smith, John R.; Li, Chung-sheng;
Assignee:
Primary Examiner: Metjahic; Safet
Assistant Examiner: Alaubaidi; Haythim J
Attorney, Agent or Firm: Baker Botts LLP
An invention for generating standard description records from multimedia information. The invention utilizes fundamental entity-relation models for the Generic AV DS that classify the entities, the entity attributes, and the relationships in relevant types to describe visual data. It also involves classification of entity attributes into syntactic and semantic attributes. Syntactic attributes can be categorized into different levels: type/technique, global distribution, local structure, and global composition. Semantic attributes can be likewise discretely categorized: generic object, generic scene, specific object, specific scene, abstract object, and abstract scene. The invention further classifies entity relationships into syntactic/semantic categories. Syntactic relationship categories include spatial, temporal, and visual categories. Semantic relationship categories include lexical and predicative categories. Spatial and temporal relationships can be topological or directional; visual relationships can be global, local, or composition; lexical relationships can be synonymy, antonymy, hyponymy/hypernymy, or meronymy/holonymy; and predicative relationships can be actions (events) or states. |
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DETAILED DESCRIPTION An object of the present invention is to provide content description schemes for generic multimedia information.
Another object of the present invention is to provide techniques for implementing standardized multimedia content description schemes.
A further object of the present invention is to provide an apparatus which permits users to perform enhanced content-sensitive general searches on the Internet or regional or local networks for multimedia content.
Still another object of the present invention is to provide systems and techniques for capturing content embedded in multimedia information based on either generic characteristics or semantic relationships.
Still a further object of the present invention is to provide a technique for organizing content embedded in multimedia information based on distinction of entity attributes into syntactic and semantic.
Syntactic attributes can be categorized into different levels: type/technique, global distribution, local structure, and global composition.
Semantic attributes can be categorized into different levels: generic object, generic scene, specific object, specific scene, abstract object, and abstract scene.
Yet a further object of the present invention is classification of entity relationships into syntactic and semantic categories.
Syntactic relationships can be categorized into spatial, temporal, and audio categories.
Semantic relationships can be categorized into lexical and predicative categories.
Spatial and temporal relationships can be topological or directional; audio relationships can be global, local, or composition; lexical relationships can be synonymy, antonymy, hyponymy/hypernymy, or meronymy/holonymy; and predicative relationships can be actions (events) or states.
A further object of the present invention is to describe each level, and entity relationships, in terms of video and audio signal classification.
Another object of the present invention is to provide fundamental and explicit entity-relationship models to address these issues by indexing the content-element attributes, the relationships among content elements, and the content elements themselves
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