Verizon Laboratories Inc.

University of Massachusetts

Jayanta Kumar Dey

Jay Michael Ponte

Haiping Xu

Don Towsley

Subhabrata Sen

Zhi-Li Zhang

Disclosed is a method and device for selecting documents, such as Web pages or sites, for presentation to a user, in response to a user expression of interest, during the course of presentation to the user of a document, such as a video or audio selection, whose content varies with time. The method takes advantage of information retrieval techniques to select documents related to the portion of the temporal document in which the user has expressed interest. The method generates the search query to use to select documents by reference to text associated with the portion of the temporal document in which the user has expressed interest, as by using the closed caption test associated with the video, or by using speech recognition techniques. The method further uses a weighting function to weigh the terms used in the search query, depending on their temporal relationship to the user expression of interest.

Hypervideo: information retrieval using time-related multimedia

Disclosed is a method and device for selecting documents, such as Web pages or sites, for presentation to a user, in response to a user expression of interest, during the course of presentation to the user of a document, such as a video or audio selection, whose content varies with time. The method takes advantage of information retrieval techniques to select documents related to the portion of the temporal document in which the user has expressed interest.

Hypervideo: information retrieval at user request

Disclosed is a method and device for selecting documents, such as Web pages or sites, for presentation to a user, in response to a user expression of interest, during the course of presentation to the user of a document, such as a video or audio selection, whose content varies with time. The method takes advantage of information retrieval techniques to select documents related to the portion of the temporal document in which the user has expressed interest. The method generates the search query to use to select documents by reference to text associated with the portion of the temporal document in which the user has expressed interest, as by using the closed caption test associated with the video, or by using speech recognition techniques.

Facilitation of hypervideo by automatic IR techniques utilizing text extracted from multimedia document in response to user requests

Disclosed is a method and device for selecting documents, such as Web pages or sites, for presentation to a user, in response to a user expression of interest, during the course of presentation to the user of a document, such as a video or audio selection, whose content varies with time. The method takes advantage of information retrieval techniques to select documents related to the portion of the temporal document in which the user has expressed interest. The method generates the search query to use to select documents by reference to text associated with the portion of the temporal document in which the user has expressed interest, as by using the closed caption test associated with the video, or by using speech recognition techniques. The method further uses a weighting function to weigh the terms used in the search query, depending on their temporal relationship to the user expression of interest. To conserve resources, the method does not transmit the closed caption or other synchronized multimedia information to the user, and obtains the necessary information about the temporal occurrence of terms in the temporal document from a database.

Hyper video: information retrieval using multimedia

Hypervideo: information retrieval using time-related multimedia:

Disclosed is a method and device for selecting documents, such as Web pages or sites, for presentation to a user, in response to a user expression of interest, during the course of presentation to the user of a document, such as a video or audio selection, whose content varies with time. The method takes advantage of information retrieval techniques to select documents related to the portion of the temporal document in which the user has expressed interest. The method generates the search query to use to select documents by reference to text associated with the portion of the temporal document in which the user has expressed interest, as by using the closed caption test associated with the video, or by using speech recognition techniques. The method further uses a weighting function to weigh the terms used in the search query, depending on their temporal relationship to the user expression of interest. The method uses a buffer to save necessary information about the temporal occurrence of terms in the temporal document.

Hyper video: information retrieval using realtime buffers

Hyper video: information retrieval using text from multimedia

A method of multicasting video to multiple client nodes via intermediate nodes that includes accessing video information descriptive of the video to be multicast, accessing information describing a distribution tree of nodes from a source of the video to the multiple clients nodes via one or more internetwork nodes, accessing rate constraints of nodes in the distribution tree, accessing buffer allocations of the nodes in the distribution tree, and determining one or more smoothed transmission schedules for each node in the distribution tree based on the accessed video information, the accessed information describing the distribution tree, the accessed rate constraints of nodes in the distribution tree, and the accessed buffer allocations of the nodes in the distribution tree, the one or more transmission schedules describing the transmission of video data to one or more children nodes.

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Cambridge, MA, United States of America

Jayanta Kumar Dey