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Fouad Sabry

Reverse Image Search

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.
61 štampana stranica
Prvi put objavljeno
2024
Godina izdavanja
2024
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