› › Image Retrieval

Content-Based Image Retrieval

Author : Vipin Tyagi

Publisher : Springer

Page : 399 pages

File Size : 29,57 MB

Release : 2018-01-15

Category : Computers

ISBN : 9811067597

Get eBook

Book Description

The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.



Integrated Region-Based Image Retrieval

Author : James Z. Wang

Publisher : Springer Science & Business Media

Page : 187 pages

File Size : 16,47 MB

Release : 2012-12-06

Category : Computers

ISBN : 1461516412

Get eBook

Book Description

Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem.



Image Retrieval

Author : Fouad Sabry

Publisher : One Billion Knowledgeable

Page : 75 pages

File Size : 28,41 MB

Release : 2024-05-05

Category : Computers

ISBN :

Get eBook

Book Description

What is Image Retrieval An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive; to address this, there has been a large amount of research done on automatic image annotation. Additionally, the increase in social web applications and the semantic web have inspired the development of several web-based image annotation tools. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Image retrieval Chapter 2: Information retrieval Chapter 3: Content-based image retrieval Chapter 4: Automatic image annotation Chapter 5: Google Images Chapter 6: Image meta-search Chapter 7: Visual search engine Chapter 8: Reverse image search Chapter 9: TinEye Chapter 10: Image collection exploration (II) Answering the public top questions about image retrieval. (III) Real world examples for the usage of image retrieval in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Image Retrieval.



Content-Based Image and Video Retrieval

Author : Oge Marques

Publisher : Springer Science & Business Media

Page : 189 pages

File Size : 15,19 MB

Release : 2012-12-06

Category : Computers

ISBN : 1461509874

Get eBook

Book Description

Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. It also discusses a variety of design choices for the key components of these systems. This book gives a comprehensive survey of the content-based image retrieval systems, including several content-based video retrieval systems. The survey includes both research and commercial content-based retrieval systems. Content-Based Image And Video Retrieval includes pointers to two hundred representative bibliographic references on this field, ranging from survey papers to descriptions of recent work in the area, entire books and more than seventy websites. Finally, the book presents a detailed case study of designing MUSE–a content-based image retrieval system developed at Florida Atlantic University in Boca Raton, Florida.



Multimedia Systems and Content-based Image Retrieval

Author : Sagarmay Deb

Publisher : IGI Global

Page : 407 pages

File Size : 49,36 MB

Release : 2004-01-01

Category : Technology & Engineering

ISBN : 1591401569

Get eBook

Book Description

Business intelligence has always been considered an essential ingredient for success. However, it is not until recently that the technology has enabled organizations to generate and deploy intelligence for global competition. These technologies can be leveraged to create the intelligent enterprises of the 21st century that will not only provide excellent and customized services to their customers, but will also create business efficiency for building relationships with suppliers and other business partners on a long term basis. Creating such intelligent enterprises requires the understanding and integration of diverse enterprise components into cohesive intelligent systems. Anticipating that future enterprises need to become intelligent, Intelligent Enterprises of the 21st Century brings together the experiences and knowledge from many parts of the world to provide a compendium of high quality theoretical and applied concepts, methodologies, and techniques that help diffuse knowledge and skills required to create and manage intelligent enterprises of the 21st century for gaining sustainable competitive advantage in a global environment. This book is a comprehensive compilation of the state of the art vision and thought processes needed to design and manage globally competitive business organizations.



Computer Vision Methods for Fast Image Classification and Retrieval

Author : Rafał Scherer

Publisher : Springer

Page : 144 pages

File Size : 49,14 MB

Release : 2019-01-29

Category : Technology & Engineering

ISBN : 303012195X

Get eBook

Book Description

The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images. Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.





Artificial Intelligence for Maximizing Content Based Image Retrieval

Author : Ma, Zongmin

Publisher : IGI Global

Page : 450 pages

File Size : 20,56 MB

Release : 2009-01-31

Category : Computers

ISBN : 1605661759

Get eBook

Book Description

Discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field.





Machine Learning and Statistical Modeling Approaches to Image Retrieval

Author : Yixin Chen

Publisher : Springer Science & Business Media

Page : 194 pages

File Size : 21,10 MB

Release : 2004-05-27

Category : Technology & Engineering

ISBN : 1402080344

Get eBook

Book Description

In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.