Mining Multimedia and Complex Data: KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers (Lecture Notes in Computer Science)

Mining Multimedia and Complex Data: KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers (Lecture Notes in Computer Science) by Osmar R. Zaiane, Simeon Simoff, Chabane Djeraba

Title: Mining Multimedia and Complex Data: KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers (Lecture Notes in Computer Science)
Author: Osmar R. Zaiane, Simeon Simoff, Chabane Djeraba
ISBN10: 3540203052
ISBN13: 978-3540203056
Publisher: Springer; 2003 edition (December 5, 2003)
Language: English
Subcategory: Computer Science
Size PDF: 1650 kb
Size Fb2: 1368 kb
Rating: 3.7/5
Votes: 250
Pages: 284 pages
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Mining Multimedia and Complex Data: KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers (Lecture Notes in Computer Science) by Osmar R. Zaiane, Simeon Simoff, Chabane Djeraba


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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.