Abstract:
A multimedia archive description scheme is provided for characterizing a multimedia archive having records and associated record descriptions. The multimedia archive description scheme provides a data structure which relates records by similarity measures. The principle data structure in the multimedia archive description scheme is a cluster (100). A cluster includes one or more attributes of the records in the archive and can include one or more cluster relationships (110). Cluster attributes (105) can include feature space attributes, semantic attributes, media attributes and meta attributes of the records in the archive. The cluster relationships (110) can relate records to clusters or clusters to clusters. Cluster relationships can include feature space (syntactic) relationships, sematic relationships, media relationships and meta relationships. The multimedia archive description scheme provides an efficient form for describing a collection of records.
Abstract:
Systems and methods for describing video content establish video description records which include an object set (24), an object hierarchy (26) and entity relation graphs (28). Video objects can include global ojects, segment objects and local objects. The video objects are further defined by a number of features organized in classes, which in turn are further defined by a number of feature descriptors (36, 38 and 40). The relationships (44) between and among the objects in the object set (24) are defined by the object hierarchy (26) and entity relation graphs (28). The video description records provide a standard vehicle for describing the content and context of video information for subsequent access and processing by computer applications such as search engines, filters, and archive systems.
Abstract:
Systems and methods for generating standard description records from multimedia information are provided. 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 describing visual data. It 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 categorized into different levels: generic object, generic scene, specific object, specific scene, abstract object, and abstract scene. The invention further utilizes classification of entity relationships into syntactic and semantic categories. Syntactic relationships can be categorized into spatial, temporal, and visual categories. Semantic relationships can be categorized into lexical and predicative categories.
Abstract:
A method and system enables network intermediaries such as proxies to transcode multimedia data without violating end-to-end security guarantees. In one embodiment, a content provider decomposes a data stream into a plurality of components, each of which are independently encrypted. In a preferred embodiment, an intermediary or proxy performs transcoding of the components by prioritizing and dropping predetermined components, in accordance with unencrypted clear-text metadata associated with each component, without the need for decrypting the components. Clear-text metadata preferably provides a semantic understanding of the absolute or relative importance/priority of the components with respect to each other, thereby facilitating the transcoding process. The destination/client device can subsequently decrypt the components transmitted by the transcoding proxy and reassemble them into a representation of the original data content.
Abstract:
Systems and methods for describing image content establish image description records which include an object set (24), an object hierarchy (26) and entity relation graphs (28). For image content, image objects can include global objects (O0 8) and local objects (O1 2 and O2 6). The image objects are further defined by a number of features of different classes (36, 38 and 40), which in turn are further defined by a number of feature descriptors. The relationships between and among the objects in the object set are defined by the object hierarchy (26) and entity relation graphs (28). The image description records provide a standard vehicle for describing the content and context of image information for subsequent access and processing by computer applications such as search engines, filters, and archive systems.
Abstract:
A monolithically integrated equalization optical equalization device having an optical demultiplexer for demultiplexing an optical signal into a number of individual channels and a number of optical connections for connecting the terminals of the demultiplexers to an optical multiplexer. Metallic strips of varying lengths are deposited on the optical connections so that the optical signal is equalized over the channels at the output terminals of the optical multiplexer.
Abstract:
PROBLEM TO BE SOLVED: To realize compact display of multi-dimensional data by generating and storing clustering information for one or more clusters into which multi- dimensional data is divided, and generating and storing one or more dimension- reduced clusters and dimension-reduction information for this cluster. SOLUTION: A clustering process receives basic data 602 as the input and divides this data into plural data clusters 603 and generates clustering information 504 related to details of this division. Clustering information 604 generated by the learning stage of a clustering algorithm is changed with this algorithm. Dimension reduction 606 receives one data cluster 603 and generates dimension- reduction information 607 and a dimension-reduced cluster 603. Next, a search possible index 612 for the current cluster is generated. If the number of already analyzed clusters is equal to the number of clusters 603 generated by the clustering algorithm, the process is terminated here.
Abstract:
PROBLEM TO BE SOLVED: To provide a method and an apparatus for constructing and implementing a universal extension module for processing objects in a database. SOLUTION: A multi-tier database architecture comprises an object-relational database engine as a top tier, one or more domain-specific extension modules as a bottom tier, and one or more universal extension modules as a middle tier. The individual extension modules of the bottom tier operationally connect with the one or more universal extension modules which, themselves operationally connect with the database engine. The domain-specific extension modules preferably provide such functions as searching, indexing, and retrieval services of images, video, audio, time series, web pages, text, XML, spatial data, etc.
Abstract:
A multimedia archive description scheme is provided for characterizing a multimedia archive having records and associated record descriptions. The multimedia archive description scheme provides a data structure which relates records by similarity measures. The principle data structure in the multimedia archive description scheme is a cluster (100). A cluster includes one or more attributes of the records in the archive and can include one or more cluster relationships (110). Cluster attributes (105) can include feature space attributes, semantic attributes, media attributes and meta attributes of the records in the archive. The cluster relationships (110) can relate records to clusters or clusters to clusters. Cluster relationships can include feature space (syntactic) relationships, sematic relationships, media relationships and meta relationships. The multimedia archive description scheme provides an efficient form for describing a collection of records.
Abstract:
Systems and methods for describing video content establish video description records which include an object set (24), an object hierarchy (26) and entity relation graphs (28). Video objects can include global ojects, segment objects and local objects. The video objects are further defined by a number of features organized in classes, which in turn are further defined by a number of feature descriptors (36, 38 and 40). The relationships (44) between and among the objects in the object set (24) are defined by the object hierarchy (26) and entity relation graphs (28). The video description records provide a standard vehicle for describing the content and context of video information for subsequent access and processing by computer applications such as search engines, filters, and archive systems.