Reverse Image Search - Unlocking the Secrets of Visual Recognition

Fouad Sabry

Summary

What is Reverse Image Search
 
Reverse image search is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a sample image that it will then base its search upon; in terms of information retrieval, the sample image is very useful. In particular, reverse image search is characterized by a lack of search terms. This effectively removes the need for a user to guess at keywords or terms that may or may not return a correct result. Reverse image search also allows users to discover content that is related to a specific sample image or the popularity of an image, and to discover manipulated versions and derivative works.
 
How you will benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: Reverse image search
 
Chapter 2: Web crawler
 
Chapter 3: Image retrieval
 
Chapter 4: Recommender system
 
Chapter 5: Document retrieval
 
Chapter 6: Content-based image retrieval
 
Chapter 7: Automatic image annotation
 
Chapter 8: Inverted index
 
Chapter 9: Google Images
 
Chapter 10: Social search
 
(II) Answering the public top questions about reverse image search.
 
(III) Real world examples for the usage of reverse image search 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 Reverse Image Search.

Available since: 05/05/2024.

Print length: 67 pages.

Science & Technology

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