Image Retrieval: Unlocking the Power of Visual Data
About this ebook
An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive; to address this, there has been a large amount of research done on automatic image annotation. Additionally, the increase in social web applications and the semantic web have inspired the development of several web-based image annotation tools.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Image retrieval
Chapter 2: Information retrieval
Chapter 3: Content-based image retrieval
Chapter 4: Automatic image annotation
Chapter 5: Google Images
Chapter 6: Image meta-search
Chapter 7: Visual search engine
Chapter 8: Reverse image search
Chapter 9: TinEye
Chapter 10: Image collection exploration
(II) Answering the public top questions about image retrieval.
(III) Real world examples for the usage of 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 Image Retrieval.
