Automatic Image Annotation - Fundamentals and Applications

Fouad Sabry

Sinopsis

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 a computer system. This use of computer vision techniques is utilized in image retrieval systems to organize and locate photographs of relevance from inside a database. These systems are typically found in digital libraries.
 
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: Learning to rank
 
Chapter 8: List of datasets for machine-learning research
 
Chapter 9: Multilinear principal component analysis
 
Chapter 10: Annotation
 
(II) Answering the public top questions about automatic image annotation.
 
(III) Real world examples for the usage of automatic image annotation in many fields.
 
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of automatic image annotation' technologies.
 
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 desde: 06/07/2023.

Longitud de impresión: 61 páginas.

Ciencia y tecnología

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