Computer Vision Methods for Fast Image Classification and Retrieval / / by Rafał Scherer

• Autore: Scherer Rafał
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (IX, 137 p. 85 illus., 55 illus. in color.)
• Disciplina: 006.37
• Soggetto topico: Computational intelligence; Computer vision; Computational Intelligence; Computer Vision
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Preface -- Chapter 1. Introduction -- Chapter 2. Feature Detection -- Chapter 3. Image Indexing Techniques -- Chapter 4. Novel Methods for Image Description -- Chapter 5. Image Retrieval and Classification in Relational Databases etc.
• Sommario/riassunto: The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images. Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.
• Titolo autorizzato: Computer Vision Methods for Fast Image Classification and Retrieval
• ISBN: 3-030-12195-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483939403321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Computational Intelligence, . 1860-9503 ; ; 821