Intelligent Multimedia Processing With Soft Computing PDF Download
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| Author | : Yap Peng Tan |
| Publisher | : Springer |
| Total Pages | : 474 |
| Release | : 2006-09-15 |
| Genre | : Computers |
| ISBN | : 3540323678 |
Download Intelligent Multimedia Processing with Soft Computing Book in PDF, ePub and Kindle
Soft computing represents a collection of techniques, such as neural networks, evolutionary computation, fuzzy logic, and probabilistic reasoning. As - posed to conventional "hard" computing, these techniques tolerate impre- sion and uncertainty, similar to human beings. In the recent years, successful applications of these powerful methods have been published in many dis- plines in numerous journals, conferences, as well as the excellent books in this book series on Studies in Fuzziness and Soft Computing. This volume is dedicated to recent novel applications of soft computing in multimedia processing. The book is composed of 21 chapters written by experts in their respective fields, addressing various important and timely problems in multimedia computing such as content analysis, indexing and retrieval, recognition and compression, processing and filtering, etc. In the chapter authored by Guan, Muneesawang, Lay, Amin, and Lee, a radial basis function network with Laplacian mixture model is employed to perform image and video retrieval. D. Androutsos, P. Androutsos, Plataniotis, and Venetsanopoulos investigate color image indexing and retrieval within a small-world framework. Wu and Yap develop a framework of fuzzy relevance feedback to model the uncertainty of users' subjective perception in image retrieval.
| Author | : Aboul-Ella Hassanien |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 538 |
| Release | : 2008-04-24 |
| Genre | : Computers |
| ISBN | : 3540768262 |
Download Computational Intelligence in Multimedia Processing: Recent Advances Book in PDF, ePub and Kindle
In recent decades Multimedia processing has emerged as an important technology to generate content based on images, video, audio, graphics, and text. This book is a compilation of the latest trends and developments in the field of computational intelligence in multimedia processing. The edited book presents a large number of interesting applications to intelligent multimedia processing of various Computational Intelligence techniques including neural networks and fuzzy logic.
| Author | : Siddhartha Bhattacharyya |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 278 |
| Release | : 2013-10-04 |
| Genre | : Computers |
| ISBN | : 3642402550 |
Download Soft Computing for Image and Multimedia Data Processing Book in PDF, ePub and Kindle
Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book is dedicated to object extraction, image segmentation, and edge detection using soft computing techniques with extensive real-life application to image and multimedia data. The authors start with a comprehensive tutorial on the basics of brain structure and learning, and then the key soft computing techniques, including evolutionary computation, neural networks, fuzzy sets and fuzzy logic, and rough sets. They then present seven chapters that detail the application of representative techniques to complex image processing tasks such as image recognition, lighting control, target tracking, object extraction, and edge detection. These chapters follow a structured approach with detailed explanations of the problems, solutions, results, and conclusions. This is both a standalone textbook for graduates in computer science, electrical engineering, system science, and information technology, and a reference for researchers and engineers engaged with pattern recognition, image processing, and soft computing.
| Author | : Shin-ya Kobayashi |
| Publisher | : Springer |
| Total Pages | : 368 |
| Release | : 2016-10-19 |
| Genre | : Technology & Engineering |
| ISBN | : 331948429X |
Download Hard and Soft Computing for Artificial Intelligence, Multimedia and Security Book in PDF, ePub and Kindle
This book gathers the proceedings of the 20th International Conference on Advanced Computer Systems 2016, held in Międzyzdroje (Poland) on October 19–21, 2016. Addressing topics that include artificial intelligence (AI), software technologies, multimedia systems, IT security and design of information systems, the main purpose of the conference and the book is to create an opportunity to exchange significant insights on this area between science and business. In particular, this expertise concerns the use of hard and soft computational methods for artificial intelligence, image and data processing, and finally, the design of information and security systems. The book contains a collection of carefully selected, peer-reviewed papers, combining high-quality original unpublished research, case studies, and implementation experiences.
| Author | : Bhattacharyya, Siddhartha |
| Publisher | : IGI Global |
| Total Pages | : 520 |
| Release | : 2016-07-13 |
| Genre | : Computers |
| ISBN | : 1522504990 |
Download Intelligent Analysis of Multimedia Information Book in PDF, ePub and Kindle
Multimedia represents information in novel and varied formats. One of the most prevalent examples of continuous media is video. Extracting underlying data from these videos can be an arduous task. From video indexing, surveillance, and mining, complex computational applications are required to process this data. Intelligent Analysis of Multimedia Information is a pivotal reference source for the latest scholarly research on the implementation of innovative techniques to a broad spectrum of multimedia applications by presenting emerging methods in continuous media processing and manipulation. This book offers a fresh perspective for students and researchers of information technology, media professionals, and programmers.
| Author | : Sarfraz, Muhammad |
| Publisher | : IGI Global |
| Total Pages | : 391 |
| Release | : 2014-04-30 |
| Genre | : Computers |
| ISBN | : 1466660317 |
Download Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies Book in PDF, ePub and Kindle
The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.
| Author | : Ernesto Damiani |
| Publisher | : Springer |
| Total Pages | : 538 |
| Release | : 2009-07-09 |
| Genre | : Computers |
| ISBN | : 364202937X |
Download New Directions in Intelligent Interactive Multimedia Systems and Services - 2 Book in PDF, ePub and Kindle
The theme of the 2nd International KES Symposium on Intelligent Interactive Multimedia Systems and Services was integration of multimedia processing techniques in a new wave of user-centric services and processes. This text offers the symposium’s proceedings.
| Author | : Siddhartha Bhattacharyya |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 196 |
| Release | : 2019-02-19 |
| Genre | : Computers |
| ISBN | : 3110552078 |
Download Intelligent Multimedia Data Analysis Book in PDF, ePub and Kindle
This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information. Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.
| Author | : Arun Kumar Sangaiah |
| Publisher | : Academic Press |
| Total Pages | : 362 |
| Release | : 2018-08-21 |
| Genre | : Technology & Engineering |
| ISBN | : 0128133279 |
Download Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications Book in PDF, ePub and Kindle
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. Presents a brief overview of computational intelligence paradigms and its significant role in application domains Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing Provides new advances in the fields of CI for bio-engineering application
| Author | : Pardeep Kumar |
| Publisher | : Springer Nature |
| Total Pages | : 341 |
| Release | : 2021-01-16 |
| Genre | : Technology & Engineering |
| ISBN | : 9811594929 |
Download Machine Learning for Intelligent Multimedia Analytics Book in PDF, ePub and Kindle
This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.
