Querying Video Libraries

dc.contributor.authorHwang, Eenjunen_US
dc.contributor.authorSubrahmanian, V.S.en_US
dc.date.accessioned2004-05-31T22:33:00Z
dc.date.available2004-05-31T22:33:00Z
dc.date.created1995-06en_US
dc.date.issued1998-10-15en_US
dc.description.abstractThere is now growing interest in organizing and querying large bodies of video data. In this paper, we will develop a simple SQL-like video query language which can be used not only to identify videos in the library that are of interest to the user, but which can also be used to extract, from such a video in a video library, the relevant segments of the video that satisfy the specified query condition. We investigate various types of user requests and show how they are expressed using our query language. We also develop polynomial-time algorithms to process such queries. Furthermore, we show how video-presentations may be synthesized in response to a user query. We show how a standard relational database system can be extended in order to handle queries such as those expressed in our language. Based on these principles, we have built a prototype video retrieval system called VIQS. We will describe the design and implementation of VIQS and show some sample interactions with VIQS. (Also cross-referenced as UMIACS-TR-95-66)en_US
dc.format.extent1899453 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/735
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3482en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-95-66en_US
dc.titleQuerying Video Librariesen_US
dc.typeTechnical Reporten_US

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