Automatic Image Annotation: Fundamentals and Applications
ΠΡΠΈΡΠΊΠΎ Π·Π° ΡΠ°Π·ΠΈ Π΅Π»Π΅ΠΊΡΡΠΎΠ½Π½Π° ΠΊΠ½ΠΈΠ³Π°
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.
