Advances in Visual Information Systems: 9th International Conference, VISUAL 2007 Shanghai, China, June 28-29, 2007 Revised Selected PapersGuoping Qiu, Clement Leung, Xiang-Yang Xue, Robert Laurini Springer, 2007. gada 18. nov. - 586 lappuses The Visual Information Systems International Conference series is designed to provide a forum for researchers and practitioners from diverse areas of computing including computer vision, databases, human–computer interaction, information security, image processing, information visualization and mining, as well as knowledge and information management to exchange ideas, discuss challenges, present their latest results and to advance research and development in the construction and application of visual information systems. Following previous conferences held in Melbourne (1996), San Diego (1997), Amsterdam (1999), Lyon (2000), Taiwan (2002), Miami (2003), San Francisco (2004) and Amsterdam (2005), the Ninth International Conference on Visual Information Systems, VISUAL2007, was held in Shanghai, China, June 28–29, 2007. Over the years, the visual information systems paradigm continues to evolve, and the unrelenting exponential growth in the amount of digital visual data underlines the escalating importance of how such data are effectively managed and deployed. VISUAL2007 received 117 submissions from 15 countries and regions. Submitted full papers were reviewed by more than 60 international experts in the field. This volume collects 54 selected papers presented at VISUAL2007. Topics covered in these papers include image and video retrieval, visual biometrics, intelligent visual information processing, visual data mining, ubiquitous and mobile visual information systems, visual semantics, 2D/3D graphical visual data retrieval and applications of visual information systems. |
Saturs
| 1 | |
| 5 | |
| 17 | |
| 26 | |
| 38 | |
| 49 | |
NearDuplicate Detection Using a NewFramework of Constructing Accurate AffineInvariant Regions | 61 |
Where Are Focused Places of a Photo? | 73 |
Multimedia Data Mining and Searching Through Dynamic Index Evolution | 298 |
Clustering and Visualizing Audiovisual Dataset onMobile Devices in a TopicOriented Manner | 310 |
Adaptive Video Presentation for Small Display While Maximize Visual Information | 322 |
An Efficient Compression Technique for a Multidimensional Index in Main Memory | 333 |
RELT Visualizing Trees on Mobile Devices | 344 |
Autogeneration of Geographic Cognitive Maps forBrowsing Personal Multimedia | 358 |
Automatic Image Annotation for Semantic Image Retrieval | 369 |
Collaterally Cued Labelling Framework UnderpinningSemanticLevel Visual Content Descriptor | 379 |
Region Based Image Retrieval Incorporated with CameraMetadata | 84 |
Empirical Investigations on Benchmark Tasksfor Automatic Image Annotation | 93 |
Automatic Detection and Recognition of Players in Soccer Videos | 105 |
A Temporal and Visual AnalysisBased Approach toCommercial Detection in News Video | 117 |
Salient Region Filtering for Background Subtraction | 126 |
A Novel SVMBased Method for Moving Video Objects Recognition | 136 |
Image Classification and Indexing by EM Based MultipleInstance Learning | 146 |
Palm Vein Extraction and Matching for Personal Authentication | 154 |
A SVM Face Recognition Method Based on Optimized Gabor Features | 165 |
Palmprint Identification Using Pairwise Relative Angleand EMD | 175 |
Finding Lips in Unconstrained Imagery for ImprovedAutomatic Speech Recognition | 185 |
Feature Selection for Identifying Critical Variables of Principal Components Based on KNearest Neighbor Rule | 193 |
Denoising Saliency Map for Region of Interest Extraction | 205 |
Cumulative Global Distance for Dimension Reduction in Handwritten Digits Database | 216 |
A New Video Compression Algorithm for Very LowBandwidth Using Curve Fitting Method | 223 |
The Influence of Perceived Quality by Adjusting Frames Per Second and Bits Per Frame Under the Limited Bandwidth | 230 |
An Evolutionary Approach to Inverse Gray Level Quantization | 242 |
Mining LargeScale News Video Database Via Knowledge Visualization | 254 |
Visualization of the Critical Patterns of Missing Values in Classification Data | 267 |
Visualizing Unstructured Text Sequences Using Iterative Visual Clustering | 275 |
Enhanced Visual Separation of Clusters by MMappingto Facilitate Cluster Analysis | 285 |
Investigating Automatic Semantic Processing Effects in Selective Attention for JustinTime Information Retrieval Systems | 391 |
News Video Retrieval by Learning Multimodal Semantic Information | 403 |
Visualization of Relational Structure Among Scientific Articles | 415 |
3D Model Retrieval Based on MultiShell Extended Gaussian Image | 426 |
Neurovision with Resilient Neural Networks | 438 |
Visual Information for Firearm Identification by Digital Holography | 445 |
GISBased Lunar Exploration Information System in China | 453 |
Semantic 3D CAD and Its Applications in Construction Industry An Outlook of Construction Data Visualization | 461 |
A Fast Algorithm for License Plate Detection | 468 |
Applying Local Cooccurring Patterns for Object Detection from Aerial Images | 478 |
Enticing Sociability in an Intelligent Coffee Corner | 490 |
Geometric and Haptic Modelling of Textile Artefacts | 502 |
A Toolkit to Support Dynamic Social Network Visualization | 512 |
The Predicate Tree A Metaphor for Visually Describing Complex Boolean Queries | 524 |
Potentialities of Chorems as Visual Summaries of Geographic Databases Contents | 537 |
Compound Geospatial Object Detection in an Aerial Image | 549 |
Texture Representation and Retrieval Using the Causal Autoregressive Model | 559 |
An Approach Based on Multiple Representations and Multiple Queries for Invariant Image Retrieval | 570 |
Author Index | 580 |
Bieži izmantoti vārdi un frāzes
algorithm analysis annotation applied approach automatically background calculated camera classification cluster color combination compared components compression Computer concept considered content-based image retrieval corresponding data set database defined described descriptors detection display distance distribution edge effect estimated evaluation example experiments exploration extracted face Figure filter frame function given histogram IEEE image retrieval important interaction interest keywords knowledge learning matching mean measure method motion nodes object obtained parameters patterns performance pixels presented problem proposed query recognition reference region represent samples scale segmentation selected semantic sequences shape shots shown shows similarity space spatial statistical structure Table task technique texture topic types University vector visual weight
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