Content Based Image Retrieval

Unlocking Visual Databases

Fouad Sabry

EPUB
ca. 4,99
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One Billion Knowledgeable img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Informatik, EDV

Description

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.

customer reviews

Keywords

Information retrieval, Image organizer, Automatic image annotation, Image retrieval, Tag cloud, Content-based image retrieval, Video search engine