From down where the computer--or at least the computer images--are bigger than elsewhere, 59 papers cover segmentation; stereo image analysis; multiresolution, multispectral, and multidimensional analysis; biomedical and color image analysis; and features and invariants. Texts of the two keynotes are not included. A large poster session generated papers on such topics as a neural network approach to geographic image analysis, determining camera position through the Karhunen-Loeve transform, the efficient indexing of multi-color sets for content-based image retrieval, characterizing skin lesion texture in diffuse reflectance spectroscopic images, the knowledge-based extraction of roads from satellite images with one-meter resolution, detecting seat occupation inside vehicles, and segmentation by color space transformation prior to lifting and integer wavelet transformation for efficient lossless coding and transmission. Only authors are indexed. Annotation copyrighted by Book News, Inc., Portland, OR.

This text contains information on computer graphics presented at the 5th IEEE Southwest Symposium on Image Analysis and Interpretation.

A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the development of hybrid intelligent techniques for faithful image analysis and understanding. As such, the focus is on the methods of computational intelligence, with an emphasis on hybrid intelligent methods applied to image analysis and understanding. The book offers a diverse range of hybrid intelligence techniques under the umbrellas of image thresholding, image segmentation, image analysis and video analysis. Key features: Provides in-depth analysis of hybrid intelligent paradigms. Divided into self-contained chapters. Provides ample case studies, illustrations and photographs of real-life examples to illustrate findings and applications of different hybrid intelligent paradigms. Offers new solutions to recent problems in computer science, specifically in the application of hybrid intelligent techniques for image analysis and understanding, using well-known contemporary algorithms. The book is essential reading for lecturers, researchers and graduate students in electrical engineering and computer science.

This book provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research. The fifth 2020 Future Technologies Conference was organized virtually and received a total of 590 submissions from academic pioneering researchers, scientists, industrial engineers, and students from all over the world. The submitted papers covered a wide range of important topics including but not limited to computing, electronics, artificial intelligence, robotics, security and communications and their applications to the real world. After a double-blind peer review process, 210 submissions (including 6 poster papers) have been selected to be included in these proceedings. One of the meaningful and valuable dimensions of this conference is the way it brings together a large group of technology geniuses in one venue to not only present breakthrough research in future technologies, but also to promote discussions and debate of relevant issues, challenges, opportunities and research findings. The authors hope that readers find the book interesting, exciting and inspiring.

An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic. In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpoint Techniques for preprocessing color images Three-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imaging Applications of color image processing, presented via the examination of two case studies In addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities. Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing.

This coherent and articulate volume summarizes work carried out in the field of theoretical signal and image processing. It focuses on non-linear and non-parametric models for time series as well as on adaptive methods in image processing. The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.

Since the beginning of human history we have had a communication network that is identical with the physical distribution network. In the late 19th century we established the energy network to distribute electric and thermal energy, launching the modern society. The analog communication network became popular in the middle of the 20th century. And now, at the end of the 20th century, we have global digital information networks.Along with the advancement of the communication network, the progress of the information processing technology can be classified into three historical phases. The first phase technology is physical information processing, treating physical data from the real world. This technology is often called “signal processing” and is based on the physical law of nature. The second phase is free from the physical constraints. It is logical information processing, dealing with knowledge and rules. The most important aspect of this phase is consistency. “Provable” is employed to confirm the reality of the system.Based on the advanced computer and network technology, we are entering the third phase of information processing, which is “Kansei” information processing. (”Kansei” is a Japanese word expressing some subjective ability referred to as “sensibility”, “intuition”, “affection” or “emotion”). Emotional resonance or consent is important in the pursuit of reality in this phase.Multimedia modeling to harmonize different media and systems is one of the key technologies in the third phase of information processing. It will provide a next generation framework to construct a human-centered information environment that is more comfortable and more productive.This volume is devoted to a discussion on effective modeling of multimedia information and systems for a wide range of applications. It contains 30 technical articles, all of which were selected, after vigorous peer reviews, for presentation at the International Conference on Multimedia Modeling held in Nagano, Japan, on 13-15 November 2000.

It is with greatpleasure that we present the proceedings of the 4th International Symposium on Visual Computing (ISVC 2008) in Las Vegas, Nevada. ISVC o?ers a common umbrella for the four main areas of visual computing including vision, graphics, visualization, and virtual reality. Its goal is to provide a forum for researchers, scientists, engineers and practitioners throughout the world to present their latest research ?ndings, ideas, developments and applications in the broader area of visual computing. This year,ISVC grew signi?cantly; the programconsisted of 15 oralsessions, 1 poster session, 8 special tracks, and 6 keynote presentations. The response to the call for papers was very strong; we received over 340 submissions for the main symposium from which we accepted 102 papers for oral presentation and 70 papers for poster presentation. Special track papers were solicited separately through the Organizing and Program Committees of each track. A total of 56 papers were accepted for oral presentation and 8 papers for poster presentation in the special tracks. All papers were reviewed with an emphasis on potential to contribute to the state of the art in the ?eld. Selection criteria included accuracy and originality of ideas, clarity and signi?cance of results, and presentation quality. The review process was quite rigorous, involving two to three independent blind reviews followed by several days of discussion. During the discussion period we tried to correct anomalies and errors that might have existed in the initial reviews.