What is Content Based Image Retrieval

Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the problem of image retrieval, which is the difficulty of searching for digital images in big databases. Other names for this technique include content-based visual information retriev. In contrast to the conventional concept-based methods, content-based picture retrieval is a more recent development.

How you will benefit

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

Chapter 1: Content-based image retrieval

Chapter 2: Information retrieval

Chapter 3: Image retrieval

Chapter 4: Automatic image annotation

Chapter 5: Tag cloud

Chapter 6: Video search engine

Chapter 7: Image organizer

Chapter 8: Image meta search

Chapter 9: Reverse image search

Chapter 10: Visual search engine

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

(III) Real world examples for the usage of content based 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 Content Based Image Retrieval.