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Mining Multimedia and Complex Data

KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Osmar R. Zaïane

    1. University of Alberta, Canada

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  2. Simeon J. Simoff

    1. School of Computing and Mathematics, University of Western Sydney, Sydney, Australia

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  3. Chabane Djeraba

    1. LIFL-UMR CNRS 8022, Laboratoire d’Informatique Fondamentale de Lille, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2797)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PAKDD 2002.

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About this book

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.

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Table of contents (17 papers)

  1. Front Matter

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  2. Subjective Interpretation of Complex Data: Requirements for Supporting Kansei Mining Process

    • Nadia Bianchi-Berthouze, Tomofumi Hayashi
    Pages 1-17

  3. Multimedia Data Mining Framework for Raw Video Sequences

    • JungHwan Oh, JeongKyu Lee, Sanjaykumar Kote, Babitha Bandi
    Pages 18-35

  4. Object Detection for Hierarchical Image Classification

    • Latifur Khan, Lei Wang
    Pages 36-49

  5. Mining High-Level User Concepts with Multiple Instance Learning and Relevance Feedback for Content-Based Image Retrieval

    • Xin Huang, Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang
    Pages 50-67

  6. Associative Classifiers for Medical Images

    • Maria-Luiza Antonie, Osmar R. Zaïane, Alexandru Coman
    Pages 68-83

  7. An Innovative Concept for Image Information Mining

    • Mihai Datcu, Klaus Seidel
    Pages 84-99

  8. Multimedia Data Mining Using P-Trees

    • William Perrizo, William Jockheck, Amal Perera, Dongmei Ren, Weihua Wu, Yi Zhang
    Pages 100-117

  9. Scale Space Exploration for Mining Image Information Content

    • Mariana Ciucu, Patrick Heas, Mihai Datcu, James C. Tilton
    Pages 118-133

  10. Videoviews: A Content Based Video Description Schema and Database Navigation Tool

    • Sadiye Guler, Ian Pushee
    Pages 134-148

  11. The Community of Multimedia Agents

    • Gang Wei, Valery A. Petrushin, Anatole V. Gershman
    Pages 149-163

  12. Multimedia Mining of Collaborative Virtual Workspaces: An Integrative Framework for Extracting and Integrating Collaborative Process Knowledge

    • Simeon J. Simoff, Robert P. Biuk-Aghai
    Pages 164-182

  13. STIFF: A Forecasting Framework for SpatioTemporal Data

    • Zhigang Li, Margaret H. Dunham, Yongqiao Xiao
    Pages 183-198

  14. Mining Propositional Knowledge Bases to Discover Multi-level Rules

    • Debbie Richards, Usama Malik
    Pages 199-216

  15. Meta-classification: Combining Multimodal Classifiers

    • Wei-Hao Lin, Alexander Hauptmann
    Pages 217-231

  16. Partition Cardinality Estimation in Image Repositories

    • Gregory Fernandez, Chabane Djeraba
    Pages 232-247

  17. A Framework for Customizable Sports Video Management and Retrieval

    • Dian Tjondronegoro, Yi-Ping Phoebe Chen, Binh Pham
    Pages 248-265

  18. Style Recognition Using Keyword Analysis

    • Aruna Lorensuhewa, Binh Pham, Shlomo Geva
    Pages 266-280

  19. Back Matter

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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Mining Multimedia and Complex Data

Editors and Affiliations

  • University of Alberta, Canada

    Osmar R. Zaïane

  • School of Computing and Mathematics, University of Western Sydney, Sydney, Australia

    Simeon J. Simoff

  • LIFL-UMR CNRS 8022, Laboratoire d’Informatique Fondamentale de Lille, France

    Chabane Djeraba

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