Computer Analysis of Images and Patterns

1. Front Matter

   Pages I-XV

   PDF

2. Image Indexing (MPEG-7)

   1. MPEG-7: Evolution or Revolution?

      • Mirosław Bober

      Pages 1-1

   2. The MPEG-7 Visual Description Framework — Concepts, Accuracy, and Applications

      • Jens-Rainer Ohm

      Pages 2-10

   3. MPEG-7 Color Descriptors and Their Applications

      • Leszek Cieplinski

      Pages 11-20

   4. Texture Descriptors in MPEG-7

      • Peng Wu, Yong Man Ro, Chee Sun Won, Yanglim Choi

      Pages 21-28

   5. An Overview of MPEG-7 Motion Descriptors and Their Applications

      • Ajay Divakaran

      Pages 29-40

   6. MPEG-7 MDS Content Description Tools and Applications

      • Ana B. Benitez, Di Zhong, Shih-Fu Chang, John R. Smith

      Pages 41-52

   7. Image Retrieval Using Spatial Color Information

      • Krzysztof Walczak

      Pages 53-60

3. Image Compression

   1. Lifting-Based Reversible Transforms for Lossy-to-Lossless Wavelet Codecs

      • Artur Przelaskowski

      Pages 61-70

   2. Coding of Irregular Image Regions by SA DFT

      • Ryszard Stasiński

      Pages 71-76

   3. Fast PNN Using Partial Distortion Search

      • Olli Virmajoki, Pasi Fränti, Timo Kaukoranta

      Pages 77-84

   4. Near-Lossless Color Image Compression with No Error Accumulation in Multiple Coding Cycles

      • Marek Domański, Krzysztof Rakowski

      Pages 85-91

   5. Hybrid Lossless Coder of Medical Images with Statistical Data Modelling

      • Artur Przelaskowski

      Pages 92-101

   6. A Simple Algorithm for Ordering and Compression of Vector Codebooks

      • Maciej Bartkowiak, Adam Łuczak

      Pages 102-109

   7. MPEG 2-Based Video Coding with Three-Layer Mixed Scalability

      • Marek Domański, Sławomir Maçkowiak

      Pages 110-117

   8. The Coefficient Based Rate Distortion Model for the Low Bit Rate Video Coding

      • Grzegorz Siemek

      Pages 118-124

   9. Shape-Adaptive DCT Algorithm — Hardware Optimized Redesign

      • Krzysztof Mroczek

      Pages 125-133

4. Pattern Recognition

   1. Superquadric-Based Object Recognition

      • Jaka Krivic, Franc Solina

      Pages 134-141

   2. Weighted Graph-Matching Using Modal Clusters

      • Marco Carcassoni, Edwin R. Hancock

      Pages 142-151

   3. Discovering Shape Categories by Clustering Shock Trees

      • B. Luo, A. Robles-Kelly, A. Torsello, R. C. Wilson, E. R. Hancock

      Pages 152-160

Computer analysis of images and patterns is a scienti c eld of longstanding tradition, with roots in the early years of the computer era when electronic brains inspired scientists. Moreover, the design of vision machines is a part of humanity’s dream of the arti cial person. I remember the 2nd CAIP, held in Wismar in 1987. Lectures were read in German, English and Russian, and proceedings were also only partially written in English. The conference took place under a di erent political system and proved that ideas are independent of political walls. A few years later the Berlin Wall collapsed, and Professors Sommer and Klette proposed a new formula for the CAIP: let it be held in Central and Eastern Europe every second year. There was a sense of solidarity with scienti c communities in those countries that found themselves in a state of transition to a new economy. A well-implemented idea resulted in a chain of successful events in Dresden (1991), Budapest (1993), Prague (1995), Kiel (1997), and Ljubljana (1999). This year the conference was welcomed at Warsaw. There are three invited lectures and about 90 contributions written by more than 200 authors from 27 countries. Besides Poland (60 authors), the largest representation comes from France (23), followed by England (16), Czech Republic (11), Spain (10), G- many (9), and Belarus (9). Regrettably, in spite of free registration fees and free accommodation for authors from former Soviet Union countries, we received only one accepted paper from Russia.

• Augmented Reality
• Document Analysis
• Feature Extraction
• Image Reconstruction
• Image Sequences
• Medical Imaging
• Pattern Recognition
• Segmentation
• Stereo Vision
• Vision Algorithms
• computer vision
• image analysis
• image compression
• image processing
• complexity

• Faculty of Electronics and Information Technology Institute of Radioelectronics, Warsaw University of Technology, Warsaw, Poland

  Władysław Skarbek

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