Sony Corporation

Sony Electronics Inc

Khemdut Purang

Mark Earl Plutowski

Chiranjit Acharya

Tsunayuki Ohwa

Vivek Chopra

Takashi Usuki

Metadata associated with a first multimedia object in a first medium is used to find a second multimedia object in a second medium. The metadata includes category data.

Relating objects in different mediums

A method and apparatus for dynamic Web Service composition is described. A user request is received. Multiple Web Services that may need to be performed according to the user request are identified. A Web Service composition is generated from the multiple Web Services. The Web Service composition is expressed in a business process modeling language that incorporates exception handling.

Dynamic web service composition to service a user request

A method and apparatus for providing an itinerary planner is described. The itinerary planner generates itineraries for visiting locations which are personalized to the user's preferences. Unknown conditions are handled by contingency plans that the itinerary planner generates in an anytime manner. The first itineraries are derived in a short time, and as more computation time is allowed, additional itineraries that better suit the preferences of the user are obtained.

Method and apparatus for an itinerary planner

A graph of nodes and edges is used to represent artist influence between different artists. Each node of the graph represents an artist. An edge between two nodes represents an influence relationship between two artists. The relative influence between artists is computed for the artists represented in the graph. Furthermore, a weighted artist influence graph is generated based on the computed influences.

Displaying artists related to an artist of interest

Weights are assigned for attributes of multimedia objects by sorting the attributes into preference levels, and computing a weight for each preference level. A similarity value of a multimedia object to an object of interest is computed based on the attribute weights.

Sorting media objects by similarity

Records including category data is clustered by representing the data as a plurality of clusters, and generating a hierarchy of clusters based on the clusters. Records including category data are classified into folders according to a predetermined entropic similarity condition.

Clustering and classification of multimedia data

A computerized method of representing a dataset with a taxonomy includes obtaining a dataset comprising a plurality of records, the dataset being characterized by a vocabulary and each of the plurality of records being characterized by at least one term within the vocabulary; identifying nearest neighbors for each term within the vocabulary; imputing a degree of membership for each nearest neighbor identified for each term within the vocabulary; augmenting the obtained dataset with the imputed degree of membership; and generating a taxonomy of the augmented dataset.

Augmented dataset representation using a taxonomy which accounts for similarity and dissimilarity between each record in the dataset and a user's similarity-biased intuition

A graph of nodes and edges is used to represent artist influence between different artists. Each node of the graph represents an artist. An edge between two nodes represents an influence relationship between two artists. The relative influence between artists is computed for the artists represented in the graph. Furthermore, the artists are ordered based on the computed influence.

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San Jose, CA, United States of America

Khemdut Purang