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.
Author(s): Chang Shi-Kuo, Gennaro Costagliola, Erland Jungert (auth.), Shi-Kuo Chang, Zen Chen, Suh-Yin Lee (eds.)
Series: Lecture Notes in Computer Science 2314
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2002
Language: English
Pages: 328
Tags: Information Storage and Retrieval; Information Systems Applications (incl.Internet); Database Management; Computer Graphics; Image Processing and Computer Vision; Document Preparation and Text Processing
Multi-sensor Information Fusion by Query Refinement....Pages 1-11
MiCRoM: A Metric Distance to Compare Segmented Images....Pages 12-23
Image Retrieval by Regions: Coarse Segmentation and Fine Color Description....Pages 24-35
Fast Approximate Nearest-Neighbor Queries in Metric Feature Spaces by Buoy Indexing....Pages 36-49
A Binary Color Vision Framework for Content-Based Image Indexing....Pages 50-60
Region-Based Image Retrieval Using Multiple-Features....Pages 61-75
A Bayesian Method for Content-Based Image Retrieval by Use of Relevance Feedback....Pages 76-87
Color Image Retrieval Based on Primitives of Color Moments....Pages 88-94
Invariant Feature Extraction and Object Shape Matching Using Gabor Filtering....Pages 95-104
A Framework for Visual Information Retrieval....Pages 105-116
Feature Extraction and a Database Strategy for Video Fingerprinting....Pages 117-128
ImageGrouper: Search, Annotate and Organize Images by Groups....Pages 129-142
Toward a Personalized CBIR System....Pages 143-151
An Efficient Storage Organization for Multimedia Databases....Pages 152-162
Unsupervised Categorization for Image Database Overview....Pages 163-174
A Data-Flow Approach to Visual Querying in Large Spatial Databases....Pages 175-186
MEDIMAGE - A Multimedia Database Management System for Alzheimer’s Disease Patients....Pages 187-193
Life after Video Coding Standards: Rate Shaping and Error Concealment....Pages 194-206
A DCT-Domain Video Transcoder for Spatial Resolution Downconversion....Pages 207-218
A Receiver-Driven Channel Adjustment Scheme for Periodic Broadcast of Streaming Video....Pages 219-228
Video Object Hyper-Links for Streaming Applications....Pages 229-238
Scalable Hierarchical Summarization of News Using Fidelity in MPEG-7 Description Scheme....Pages 239-246
MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System....Pages 247-258
Fast Text Caption Localization on Video Using Visual Rhythm....Pages 259-268
A New Digital Watermarking Technique for Video....Pages 269-275
Automatic Closed Caption Detection and Font Size Differentiation in MPEG Video....Pages 276-287
Motion Activity Based Shot Identification and Closed Caption Detection for Video Structuring....Pages 288-301
Visualizing the Construction of Generic Bills of Material....Pages 302-310
Data and Knowledge Visualization in Knowledge Discovery Process....Pages 311-321
