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Recent Advances in Visual Information Systems

5th International Conference, VISUAL 2002 Hsin Chu, Taiwan, March 11-13, 2002. Proceedings

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. Shi-Kuo Chang

    1. Knowledge Systems Institute, Skokie, USA

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  2. Zen Chen

    1. Dept. of Comp. Science & Information Engineering, National Chiao Tung University, Hsin Chu, Taiwan

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    You can also search for this editor in PubMed   Google Scholar

  3. Suh-Yin Lee

    1. Dept. of Comp. Science & Information Engineering, National Chiao Tung University, Hsin Chu, Taiwan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2314)

Included in the following conference series:

Conference proceedings info: VISUAL 2002.

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Table of contents (29 papers)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Invited Talk

    1. Multi-sensor Information Fusion by Query Refinement

      • Shi-Kuo Chang, Gennaro Costagliola, Erland Jungert
      Pages 1-11

  3. Content-Based Indexing, Search and Retrieval

    1. MiCRoM: A Metric Distance to Compare Segmented Images

      • Renato O. Stehling, Mario A. Nascimento, Alexandre X. Falcão
      Pages 12-23

    2. Image Retrieval by Regions: Coarse Segmentation and Fine Color Description

      • Julien Fauqueur, Nozha Boujemaa
      Pages 24-35

    3. Fast Approximate Nearest-Neighbor Queries in Metric Feature Spaces by Buoy Indexing

      • Stephan Volmer
      Pages 36-49

    4. A Binary Color Vision Framework for Content-Based Image Indexing

      • Guoping Qiu, S. Sudirman
      Pages 50-60

    5. Region-Based Image Retrieval Using Multiple-Features

      • Veena Sridhar, Mario A. Nascimento, Xiaobo Li
      Pages 61-75

    6. A Bayesian Method for Content-Based Image Retrieval by Use of Relevance Feedback

      • Ju-Lan Tao, Yi-Ping Hung
      Pages 76-87

    7. Color Image Retrieval Based on Primitives of Color Moments

      • Jau-Ling Shih, Ling-Hwei Chen
      Pages 88-94

    8. Invariant Feature Extraction and Object Shape Matching Using Gabor Filtering

      • Shu-Kuo Sun, Zen Chen, Tsorng-Lin Chia
      Pages 95-104

  4. Visual Information System Architectures

    1. A Framework for Visual Information Retrieval

      • Horst Eidenberger, Christian Breiteneder, Martin Hitz
      Pages 105-116

    2. Feature Extraction and a Database Strategy for Video Fingerprinting

      • Job Oostveen, Ton Kalker, Jaap Haitsma
      Pages 117-128

    3. ImageGrouper: Search, Annotate and Organize Images by Groups

      • Munehiro Nakazato, Lubomir Manola, Thomas S. Huang
      Pages 129-142

    4. Toward a Personalized CBIR System

      • Chih-Yi Chiu, Hsin-Chih Lin, Shi-Nine Yang
      Pages 143-151

  5. Image/Video Databases

    1. An Efficient Storage Organization for Multimedia Databases

      • Philip K. C. Tse, Clement H. C. Leung
      Pages 152-162

    2. Unsupervised Categorization for Image Database Overview

      • Bertrand Le Saux, Nozha Boujemaa
      Pages 163-174

    3. A Data-Flow Approach to Visual Querying in Large Spatial Databases

      • Andrew J. Morris, Alia I. Abdelmoty, Baher A. El-Geresy, Christopher B. Jones
      Pages 175-186

    4. MEDIMAGE - A Multimedia Database Management System for Alzheimer’s Disease Patients

      • Peter L. Stanchev, Farshad Fotouhi
      Pages 187-193

  6. Networked Video

    1. Life after Video Coding Standards: Rate Shaping and Error Concealment

      • Trista Pei-chun Chen, Tsuhan Chen, Yuh-Feng Hsu
      Pages 194-206

    2. A DCT-Domain Video Transcoder for Spatial Resolution Downconversion

      • Yuh-Reuy Lee, Chia-Wen Lin, Cheng-Chien Kao
      Pages 207-218
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  1. Recent Advances in Visual Information Systems

Keywords

About this book

Visualinformationsystemsareinformationsystemsforvisualcomputing.Visual computing is computing on visual objects. Some visual objects such as images are inherently visual in the sense that their primary representation is the visual representation.Somevisualobjectssuchasdatastructuresarederivativelyvisual in the sense that their primary representation is not the visual representation, but can be transformed into a visual representation. Images and data structures are the two extremes. Other visual objects such as maps may fall somewhere in between the two. Visual computing often involves the transformation from one type of visual objects into another type of visual objects, or into the same type of visual objects, to accomplish certain objectives such as information reduction, object recognition, and so on. In visual information systems design it is also important to ask the foll- ing question: who performs the visual computing? The answer to this question determines the approach to visual computing. For instance it is possible that primarily the computer performs the visual computing and the human merely observes the results. It is also possible that primarily the human performs the visual computing and the computer plays a supporting role. Often the human and the computer are both involved as equal partners in visual computing and there are visual interactions. Formal or informal visual languages are usually needed to facilitate such visual interactions.

Editors and Affiliations

  • Knowledge Systems Institute, Skokie, USA

    Shi-Kuo Chang

  • Dept. of Comp. Science & Information Engineering, National Chiao Tung University, Hsin Chu, Taiwan

    Zen Chen, Suh-Yin Lee

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