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dc.contributor.authorBianchi-Berthouze, Nadiaen_US
dc.contributor.authorHayashi, Tomofumien_US
dc.contributor.editorZaïane, Osmar R.en_US
dc.contributor.editorSimoff, Simeon J.en_US
dc.contributor.editorDjeraba, Chabaneen_US
dc.date.accessioned2019-05-28T04:15:36Z
dc.date.available2019-05-28T04:15:36Z
dc.date.issued2003en_US
dc.identifier.isbn3540203052en_US
dc.identifier.isbn9783540203056en_US
dc.identifier.otherHPU1161353en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/32752
dc.description.abstractWorkshopTheme Digital multimedia di?ers from previous forms of combined media in that the bits that represent text, images, animations, and audio, video and other signals can be treated as data by computer programs. One facet of this diverse data in termsofunderlyingmodelsandformatsisthatitissynchronizedandintegrated, hence it can be treated as integral data records. Such records can be found in a number of areas of human endeavour. Modern medicine generates huge amounts of such digital data. Another - ample is architectural design and the related architecture, engineering and c- struction (AEC) industry. Virtual communities (in the broad sense of this word, which includes any communities mediated by digital technologies) are another example where generated data constitutes an integral data record. Such data may include data about member pro?les, the content generated by the virtual community, and communication data in di?erent formats, including e-mail, chat records, SMS messages, videoconferencing records. Not all multimedia data is so diverse. An example of less diverse data, but data that is larger in terms of the collected amount, is that generated by video surveillance systems, where each integral data record roughly consists of a set of time-stamped images – the video frames. In any case, the collection of such in- gral data records constitutes a multimedia data set. The challenge of extracting meaningful patterns from such data sets has led to the research and devel- ment in the area of multimedia data mining.en_US
dc.format.extent293 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlin Heidelbergen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectComputer Communication Networksen_US
dc.subjectDatabase Managementen_US
dc.subjectInformation Storage and Retrievalen_US
dc.subjectComputers and Societyen_US
dc.titleMining Multimedia and Complex Data: KDD Workshop MDM/KDD 2002. PAKDD Workshop KDMCD 2002. Revised Papersen_US
dc.typeBooken_US
dc.size7,436 KBen_US
dc.departmentTechnologyen_US


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