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.
Author(s): Shi-Kuo Chang (auth.), Robert Laurini (eds.)
Series: Lecture Notes in Computer Science 1929
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2000
Language: English
Pages: 545
Tags: Information Systems and Communication Service; Image Processing and Computer Vision; Computer Graphics; Document Preparation and Text Processing
The Sentient Map and Its Application to the Macro University E-Learning Environment....Pages 1-13
An Image Data Model....Pages 14-25
Interaction in Content-Based Image Retrieval: An Evaluation of the State-of-the-Art....Pages 26-36
Automatic Video Summary and Description....Pages 37-48
Relevance Ranking of Video Data Using Hidden Markov Model Distances and Polygon Simplification....Pages 49-61
Video Clustering Using SuperHistograms in Large Archives....Pages 62-73
3-D Camera Movements Tracking and Indexing Based on 2-D Hints Extraction....Pages 74-83
Main Mobile Object Detection and Localization in Video Sequences....Pages 84-95
Statistical Motion-Based Retrieval with Partial Query....Pages 96-107
Experiments in Using Visual and Textual Clues for Image Hunting on the Web....Pages 108-119
Visualising Information: A Mosaic of Perspectives....Pages 120-126
Spatial/Temporal Query Processing for Information Fusion Applications....Pages 127-139
Metaphors for Visual Querying of Spatio-Temporal Databases....Pages 140-153
About Ambiguities in Visual GIS Query Languages: a Taxonomy and Solutions....Pages 154-165
Visualization of Dynamic Spatial Data and Query Results Over Time in a GIS Using Animation....Pages 166-177
Upgrading Color Distributions for Image Retrieval Can We Do Better?....Pages 178-188
Color Normalization for Digital Video Processing....Pages 189-199
Multimedia Content Filtering, Browsing, and Matching Using MPEG-7 Compact Color Descriptors....Pages 200-211
Shape Description for Content-Based Image Retrieval....Pages 212-222
Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features....Pages 223-232
Matching Shapes with Self-intersections....Pages 233-243
A Novel Approach for Accessing Partially Indexed Image Corpora....Pages 244-256
Show Me What You Mean! PARISS: A CBIR-Interface That Learns by Example....Pages 257-268
Scale Summarized and Focused Browsing of Primitive Visual Content....Pages 269-278
Integrated Browsing and Searching of Large Image Collections....Pages 279-289
A Rich Get Richer Strategy for Content-Based Image Retrieval....Pages 290-299
MRML: A Communication Protocol for Content-Based Image Retrieval....Pages 300-311
An Integrated Multimedia System with Learning Capabilities....Pages 312-326
Global Motion Fourier Series Expansion for Video Indexing and Retrieval....Pages 327-337
Feature Driven Visualization of Video Content for Interactive Indexing....Pages 338-348
Conceptual Indexing of Television Images Based on Face and Caption Sizes and Locations....Pages 349-359
SIMPLIcity: Semantics-sensitive Integrated Matching for Picture LIbraries....Pages 360-371
Semantic Indexing for Image Retrieval Using Description Logics....Pages 372-383
An Iconic and Semantic Content Based Retrieval System for Histological Images....Pages 384-395
Image Retrieval by Colour and Texture Using Chromaticity Histograms and Wavelet Frames....Pages 397-406
Adaptive Multi-Class Metric Content-Based Image Retrieval....Pages 407-418
Integrating Visual and Textual Cues for Image Classification....Pages 419-429
Evaluating the Performance of Content-Based Image Retrieval Systems....Pages 430-441
Benchmarking for Content-Based Visual Information Search....Pages 442-456
Video Content Representation Based on Texture and Lighting....Pages 457-466
Shape Similarity Measures, Properties and Constructions....Pages 467-476
Leaf Image Retrieval with Shape Features....Pages 477-487
A Software Framework for Combining Iconic and Semantic Content for Retrieval of Histological Images....Pages 488-499
A Ground-Truth Training Set for Hierarchical Clustering in Content-based Image Retrieval....Pages 500-510
Query Models and Languages for Geographical Information Systems....Pages 511-520
Content-Based Image Retrieval By Relevance Feedback....Pages 521-529
Chinese Cursive Script Character Image Retrieval Based on an Integrated Probability Function....Pages 530-539
