Mining Multimedia and Complex Data (Paperback)

Osmar R. Zaiane

ISBN 10: 3540203052 / ISBN 13: 9783540203056

Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2003

About this Item

Paperback. This book presents a collection of thoroughly refereed revised papers selected from two international workshops on mining complex data: Multimedia Data Mining, MDM/KDD at KDD 2002 and Knowledge Discovery from Multimedia and Complex Data, KDMCD at PAKDD 2002. The 17 revised full papers presented together with a detailed introduction give a coherent survey of the state of the art in the area. Among the topics addressed are mining spatial multimedia data, mining audio data and multimedia support, mining image and video data, frameworks for multimedia mining, multimedia for information retrieval, and applications of multimedia mining. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783540203056

Bibliographic Details

• Title: Mining Multimedia and Complex Data (Paperback)
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Publication Date: 2003
• Language: English
• ISBN 10: 3540203052
• ISBN 13: 9783540203056
• Binding: Paperback
• Condition: new

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.