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Automatic Image Annotation - Enhancing Visual Understanding through Automated Tagging - cover

Automatic Image Annotation - Enhancing Visual Understanding through Automated Tagging

Fouad Sabry

Maison d'édition: One Billion Knowledgeable

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Synopsis

What is Automatic Image Annotation
 
The process of automatically assigning metadata to a digital image in the form of captioning or keywords is referred to as automatic image annotation. This procedure is carried out by electronic computer systems. The application of computer vision techniques is utilized in image retrieval systems for the purpose of organizing and locating images of interest from a database.
 
How you will benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: Automatic image annotation
 
Chapter 2: Information retrieval
 
Chapter 3: Image retrieval
 
Chapter 4: Content-based image retrieval
 
Chapter 5: Bag-of-words model in computer vision
 
Chapter 6: Object detection
 
Chapter 7: Global Memory Net
 
Chapter 8: Conference on Computer Vision and Pattern Recognition
 
Chapter 9: Learning to rank
 
Chapter 10: Automatic Target Recognition
 
(II) Answering the public top questions about automatic image annotation.
 
(III) Real world examples for the usage of automatic image annotation 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 Automatic Image Annotation.
Disponible depuis: 05/05/2024.
Longueur d'impression: 64 pages.

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