Mining Multimedia and Complex Data | KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers

Osmar R. Zaiane (u. a.)

ISBN 10: 3540203052 / ISBN 13: 9783540203056

Published by Springer, 2003

About this Item

Mining Multimedia and Complex Data | KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers | Osmar R. Zaiane (u. a.) | Taschenbuch | xii | Englisch | 2003 | Springer | EAN 9783540203056 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 102482589

Bibliographic Details

• Title: Mining Multimedia and Complex Data | KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers
• Publisher: Springer
• Publication Date: 2003
• Language: English
• ISBN 10: 3540203052
• ISBN 13: 9783540203056
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 17D millimeters 235 millimeters width by 155 millimeters height by 17 millimeters depth
• Weight: 458 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

1 WorkshopTheme 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.