Image Collection Exploration - Unveiling Visual Landscapes in Computer Vision

Fouad Sabry

Casa editrice: One Billion Knowledgeable

Sinossi

What is Image Collection Exploration
 
Image collection exploration is a mechanism to explore large digital image repositories. The huge amount of digital images produced every day through different devices such as mobile phones bring forth challenges for the storage, indexing and access to these repositories. Content-based image retrieval (CBIR) has been the traditional paradigm to index and retrieve images. However, this paradigm suffers of the well known semantic gap problem. Image collection exploration consists of a set of computational methods to represent, summarize, visualize and navigate image repositories in an efficient, effective and intuitive way.
 
How you will benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: Image collection exploration
 
Chapter 2: Integrated development environment
 
Chapter 3: Web crawler
 
Chapter 4: Image retrieval
 
Chapter 5: Automatic summarization
 
Chapter 6: Visualization (graphics)
 
Chapter 7: Content-based image retrieval
 
Chapter 8: Similarity measure
 
Chapter 9: Tag cloud
 
Chapter 10: Quartz Composer
 
(II) Answering the public top questions about image collection exploration.
 
(III) Real world examples for the usage of image collection exploration 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 Collection Exploration.

Disponibile da: 05/05/2024.

Lunghezza di stampa: 92 pagine.

Scienze e tecnologia

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