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Content Based Image Retrieval - Unlocking Visual Databases - cover

Content Based Image Retrieval - Unlocking Visual Databases

Fouad Sabry

Publisher: One Billion Knowledgeable

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Summary

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.
Available since: 05/09/2024.
Print length: 69 pages.

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