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  • 1
    Book
    Book
    Mining multimedia and complex data : KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002 ; revised papers (2003)
    Berlin : Springer
    Details
    UID:
    gbv_372336604
    Format: XII, 280 S , graph. Darst
    ISBN: 3540203052
    Series Statement: Lecture notes in computer science 2797
    Note: Book is a result of two workshops: Multimedia Data Mining (MDM/KDD 2002) held in conjunction with ACM SIGKDD 2002 in Edmonton, Canada in July 2002, and Knowledge Discovery from Multimedia and Complex Data (KDMCD 2002) held in conjunction with PAKDD 2002 in Taipei, Taiwan in May 2002 , Literaturangaben
    Additional Edition: Erscheint auch als Online-Ausgabe Zai͏̈ane, Osmar R. Mining Multimedia and Complex Data Berlin, Heidelberg : Springer Berlin Heidelberg, 2003 ISBN 9783540203056
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Multimedia ; Data Mining ; Data Mining ; Data Mining ; Konferenzschrift ; Konferenzschrift
    URL: Verlagsangaben
    URL: Cover
    URL: Einführung/Vorwort
    URL: Inhaltsverzeichnis
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  • 2
    Book
    Book
    Mining multimedia and complex data : KDD Workshop MDM/KDD 2002 ; PAKDD Workshop KDMCD 2002 ; revised papers (2003)
    Berlin [u.a.] : Springer-Verlag
    Details
    UID:
    kobvindex_ZLB13569082
    Format: XII, 281 Seiten
    ISBN: 3540203052
    Series Statement: Lecture notes in computer science
    Note: Text engl.
    Language: English
    Keywords: Multimedia ; Data Mining ; Kongress ; Edmonton 〈2002〉 ; Data Mining ; Kongress ; Edmonton 〈2002〉 ; Kongress ; Konferenzschrift
    Author information: Zaïane, Osmar R.
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  • 3
    Online Resource
    Online Resource
    Mining Multimedia and Complex Data : KDD Workshop MDM/KDD 2002. PAKDD Workshop KDMCD 2002. Revised Papers (2003)
    Berlin : Springer
    Details
    UID:
    gbv_749151889
    Format: Online-Ressource (XII, 281 p. Also available online) , digital
    Edition: Springer eBook Collection. Computer Science
    ISBN: 9783540396666 , 3540203052 , 9783540203056
    Series Statement: Lecture Notes in Computer Science 2797
    Content: 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
    Note: Book is a result of two workshops: Multimedia Data Mining (MDM/KDD 2002) held in conjunction with ACM SIGKDD 2002 in Edmonton, Canada in July 2002, and Knowledge Discovery from Multimedia and Complex Data (KDMCD 2002) held in conjunction with PAKDD 2002 in Taipei, Taiwan in May 2002 , Literaturangaben
    Additional Edition: ISBN 9783540203056
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783662201152
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783540203056
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Data Mining ; Konferenzschrift
    DOI: 10.1007/b12031
    URL: lizenzpflichtig
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    Open Access Request
    UB Potsdam
  • 4
    Online Resource
    Online Resource
    Mining Multimedia and Complex Data : KDD Workshop MDM/KDD 2002. PAKDD Workshop KDMCD 2002. Revised Papers (2003)
    Berlin, Heidelberg :Springer Berlin Heidelberg,
    Details
    UID:
    almahu_9947920449702882
    Format: XII, 284 p. , online resource.
    ISBN: 9783540396666
    Series Statement: Lecture Notes in Computer Science, 2797
    Content: 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.
    Note: Subjective Interpretation of Complex Data: Requirements for Supporting Kansei Mining Process -- Multimedia Data Mining Framework for Raw Video Sequences -- Object Detection for Hierarchical Image Classification -- Mining High-Level User Concepts with Multiple Instance Learning and Relevance Feedback for Content-Based Image Retrieval -- Associative Classifiers for Medical Images -- An Innovative Concept for Image Information Mining -- Multimedia Data Mining Using P-Trees -- Scale Space Exploration for Mining Image Information Content -- Videoviews: A Content Based Video Description Schema and Database Navigation Tool -- The Community of Multimedia Agents -- Multimedia Mining of Collaborative Virtual Workspaces: An Integrative Framework for Extracting and Integrating Collaborative Process Knowledge -- STIFF: A Forecasting Framework for SpatioTemporal Data -- Mining Propositional Knowledge Bases to Discover Multi-level Rules -- Meta-classification: Combining Multimodal Classifiers -- Partition Cardinality Estimation in Image Repositories -- A Framework for Customizable Sports Video Management and Retrieval -- Style Recognition Using Keyword Analysis.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540203056
    Language: English
    DOI: 10.1007/b12031
    URL: http://dx.doi.org/10.1007/b12031
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HU Berlin
  • 5
    Online Resource
    Online Resource
    Mining Multimedia and Complex Data : KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers (2003)
    Berlin, Heidelberg :Springer Berlin Heidelberg :
    Details
    UID:
    almahu_9948621673602882
    Format: XII, 284 p. , online resource.
    Edition: 1st ed. 2003.
    ISBN: 9783540396666
    Series Statement: Lecture Notes in Artificial Intelligence ; 2797
    Content: 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.
    Note: Subjective Interpretation of Complex Data: Requirements for Supporting Kansei Mining Process -- Multimedia Data Mining Framework for Raw Video Sequences -- Object Detection for Hierarchical Image Classification -- Mining High-Level User Concepts with Multiple Instance Learning and Relevance Feedback for Content-Based Image Retrieval -- Associative Classifiers for Medical Images -- An Innovative Concept for Image Information Mining -- Multimedia Data Mining Using P-Trees -- Scale Space Exploration for Mining Image Information Content -- Videoviews: A Content Based Video Description Schema and Database Navigation Tool -- The Community of Multimedia Agents -- Multimedia Mining of Collaborative Virtual Workspaces: An Integrative Framework for Extracting and Integrating Collaborative Process Knowledge -- STIFF: A Forecasting Framework for SpatioTemporal Data -- Mining Propositional Knowledge Bases to Discover Multi-level Rules -- Meta-classification: Combining Multimodal Classifiers -- Partition Cardinality Estimation in Image Repositories -- A Framework for Customizable Sports Video Management and Retrieval -- Style Recognition Using Keyword Analysis.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783662201152
    Additional Edition: Printed edition: ISBN 9783540203056
    Language: English
    DOI: 10.1007/b12031
    URL: https://doi.org/10.1007/b12031
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HU Berlin
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