Image Retrieval: Fundamentals and Applications

A computer system that is used for browsing, searching, and retrieving images from a vast collection of digital images is called an image retrieval system (sometimes abbreviated as IRMS). In order for image retrieval to be carried out over the annotation words, the majority of the conventional and widespread methods currently in use include the addition of information to the images themselves. This metadata can take the form of captioning, keywords, titles, or descriptions. Annotating images manually is a significant investment of time, effort, and money; as a result, a significant amount of effort and research has been put into developing automatic image annotation methods. In addition, the proliferation of social web apps as well as the semantic web has been a driving force behind the development of a number of picture annotation tools that are web-based.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Image retrieval

Chapter 2: Information retrieval

Chapter 3: MPEG-7

Chapter 4: Content-based image retrieval

Chapter 5: Automatic image annotation

Chapter 6: Image organizer

Chapter 7: Google Images

Chapter 8: Image meta search

Chapter 9: Metadata

Chapter 10: Reverse image search

(II) Answering the public top questions about image retrieval.

(III) Real world examples for the usage of image retrieval in many fields.

(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of image retrieval' technologies.

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.