Content Based Image Retrieval: Unlocking Visual Databases
About this ebook
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.
