Image Collection Exploration: Unveiling Visual Landscapes in Computer Vision
About this ebook
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.
