Advances in Visual Information Systems

1. Front Matter

   Pages I-XII

   PDF

2. Guest Speaker

   1. The Sentient Map and Its Application to the Macro University E-Learning Environment

      • Shi-Kuo Chang

      Pages 1-13

3. Image Information Systems

   1. An Image Data Model

      • William I. Grosky, Peter L. Stanchev

      Pages 14-25

   2. Interaction in Content-Based Image Retrieval: An Evaluation of the State-of-the-Art

      • Marcel Worring, Arnold Smeulders, Simone Santini

      Pages 26-36

4. Video Information Systems

   1. Automatic Video Summary and Description

      • Suh-Yin Lee, Shin-Tzer Lee, Duan-Yu Chen

      Pages 37-48

   2. Relevance Ranking of Video Data Using Hidden Markov Model Distances and Polygon Simplification

      • Daniel DeMenthon, Longin Jan Latecki, Azriel Rosenfeld, Marc Vuilleumier Stückelberg

      Pages 49-61

   3. Video Clustering Using SuperHistograms in Large Archives

      • Lalitha Agnihotri, Nevenka Dimitr

      Pages 62-73

   4. 3-D Camera Movements Tracking and Indexing Based on 2-D Hints Extraction

      • M. Ardebilian, W. Mahdi, L. Chen

      Pages 74-83

   5. Main Mobile Object Detection and Localization in Video Sequences

      • Gabriel Tsechpenakis, Yiannis Xirouhakis, Anastasios Delopoulos

      Pages 84-95

   6. Statistical Motion-Based Retrieval with Partial Query

      • Ronan Fablet, Patrick Bouthemy

      Pages 96-107

   7. Experiments in Using Visual and Textual Clues for Image Hunting on the Web

      • Yuksel Alp Aslandogan, Clement T. Yu

      Pages 108-119

5. Guest Speaker

   1. Visualising Information: A Mosaic of Perspectives

      • Chaomei Chen

      Pages 120-126

6. Visual Querying

   1. Spatial/Temporal Query Processing for Information Fusion Applications

      • Shi-Kuo Chang, Gennaro Costagliola, Erland Jungert

      Pages 127-139

   2. Metaphors for Visual Querying of Spatio-Temporal Databases

      • Christine Bonhomme, Marie-Aude Aufaure, Claude Trépied

      Pages 140-153

   3. About Ambiguities in Visual GIS Query Languages: a Taxonomy and Solutions

      • Franck Favetta, Marie-Aude Aufaure-Portier

      Pages 154-165

   4. Visualization of Dynamic Spatial Data and Query Results Over Time in a GIS Using Animation

      • Glenn S. Iwerks, Hanan Samet

      Pages 166-177

7. Color

   1. Upgrading Color Distributions for Image Retrieval Can We Do Better?

      • Constantin Vertan, Nozha Boujemaa

      Pages 178-188

   2. Color Normalization for Digital Video Processing

      • Juan M. Sánchez, Xavier Binefa

      Pages 189-199

   3. Multimedia Content Filtering, Browsing, and Matching Using MPEG-7 Compact Color Descriptors

      • Santhana Krishnamachari, Akio Yamada, Mohamed Abdel-Mottaleb, Eiji Kasutani

      Pages 200-211

8. Shape-Based Retrieval

   1. Shape Description for Content-Based Image Retrieval

      • E. Ardizzone, A. Chella, R. Pirrone

      Pages 212-222

Presently, in our world, visual information dominates. The turn of the millenium marks the age of visual information systems. Enabled by picture sensors of all kinds turning digital, visual information will not only enhance the value of existing information, it will also open up a new horizon of previously untapped information sources. There is a huge demand for visual information access from the consumer. As well, the handling of visual information is boosted by the rapid increase of hardware and Internet capabilities. Advanced technology for visual information systems is more urgently needed than ever before: not only new computational methods to retrieve, index, compress and uncover pictorial information, but also new metaphors to organize user interfaces. Also, new ideas and algorithms are needed which allow access to very large databases of digital pictures and videos. Finally we should not forget new systems with visual interfaces integrating the above components into new types of image, video or multimedia databases and hyperdocuments. All of these technologies will enable the construction of systems that are radically different from conventional information systems. Many novel issues will need to be addressed: query formulation for pictorial information, consistency management thereof, indexing and assessing the quality of these systems. Historically, the expression Visual Information Systems can be understood either as a system for image information or as visual system for any kind information.

• Animation
• Augmented Reality
• Benchmarking
• Hidden Markov Model
• Markov Model
• Multimedia
• Visual Information
• classification
• database
• filtering
• image processing
• image retrieval
• multimedia information systems
• visual information systems
• visualization

• Claude Bernard University of Lyon, Villeurbanne Cedex, France

  Robert Laurini

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