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Advances in Visual Information Systems : 4th International Conference, VISUAL 2000, Lyon, France, November 2-4, 2000 Proceedings / edited by Robert Laurini.

LIBRA Q341 .P7 2004
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Format:
Book
Contributor:
Laurini, Robert, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 1929.
Lecture Notes in Computer Science, 0302-9743 ; 1929
Language:
English
Subjects (All):
Computers.
Pattern perception.
Optical data processing.
Computer graphics.
Natural language processing (Computer science).
Information Systems and Communication Service.
Pattern Recognition.
Image Processing and Computer Vision.
Computer Graphics.
Natural Language Processing (NLP).
Local Subjects:
Information Systems and Communication Service.
Pattern Recognition.
Image Processing and Computer Vision.
Computer Graphics.
Natural Language Processing (NLP).
Physical Description:
1 online resource (XII, 545 pages).
Edition:
First edition 2000.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
System Details:
text file PDF
Summary:
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.
Contents:
Guest Speaker
The Sentient Map and Its Application to the Macro University E-Learning Environment
Image Information Systems
An Image Data Model
Interaction in Content-Based Image Retrieval: An Evaluation of the State-of-the-Art
Video Information Systems
Automatic Video Summary and Description
Relevance Ranking of Video Data Using Hidden Markov Model Distances and Polygon Simplification
Video Clustering Using SuperHistograms in Large Archives
3-D Camera Movements Tracking and Indexing Based on 2-D Hints Extraction
Main Mobile Object Detection and Localization in Video Sequences
Statistical Motion-Based Retrieval with Partial Query
Experiments in Using Visual and Textual Clues for Image Hunting on the Web
Guest Speaker
Visualising Information: A Mosaic of Perspectives
Visual Querying
Spatial/Temporal Query Processing for Information Fusion Applications
Metaphors for Visual Querying of Spatio-Temporal Databases
About Ambiguities in Visual GIS Query Languages: a Taxonomy and Solutions
Visualization of Dynamic Spatial Data and Query Results Over Time in a GIS Using Animation
Color
Upgrading Color Distributions for Image Retrieval Can We Do Better?
Color Normalization for Digital Video Processing
Multimedia Content Filtering, Browsing, and Matching Using MPEG-7 Compact Color Descriptors
Shape-Based Retrieval
Shape Description for Content-Based Image Retrieval
Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features
Matching Shapes with Self-intersections
Image Databases
A Novel Approach for Accessing Partially Indexed Image Corpora
Show Me What You Mean! PARISS: A CBIR-Interface That Learns by Example
Scale Summarized and Focused Browsing of Primitive Visual Content
Integrated Browsing and Searching of Large Image Collections
A Rich Get Richer Strategy for Content-Based Image Retrieval
MRML: A Communication Protocol for Content-Based Image Retrieval
An Integrated Multimedia System with Learning Capabilities
Video Indexing
Global Motion Fourier Series Expansion for Video Indexing and Retrieval
Feature Driven Visualization of Video Content for Interactive Indexing
Conceptual Indexing of Television Images Based on Face and Caption Sizes and Locations
SIMPLIcity: Semantics-sensitive Integrated Matching for Picture LIbraries
Semantic Indexing for Image Retrieval Using Description Logics
An Iconic and Semantic Content Based Retrieval System for Histological Images
Image Retrieval
Image Retrieval by Colour and Texture Using Chromaticity Histograms and Wavelet Frames
Adaptive Multi-Class Metric Content-Based Image Retrieval
Integrating Visual and Textual Cues for Image Classification
Benchmarking
Evaluating the Performance of Content-Based Image Retrieval Systems
Benchmarking for Content-Based Visual Information Search
Posters
Video Content Representation Based on Texture and Lighting
Shape Similarity Measures, Properties and Constructions
Leaf Image Retrieval with Shape Features
A Software Framework for Combining Iconic and Semantic Content for Retrieval of Histological Images
A Ground-Truth Training Set for Hierarchical Clustering in Content-based Image Retrieval
Query Models and Languages for Geographical Information Systems
Content-Based Image Retrieval By Relevance Feedback
Chinese Cursive Script Character Image Retrieval Based on an Integrated Probability Function.
Other Format:
Printed edition:
ISBN:
978-3-540-40053-0
9783540400530
Access Restriction:
Restricted for use by site license.

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