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[null,"1.","Record Nr.",null,"UNINA9910483939403321"]
[null,null,"Autore",null,"Scherer Rafał"]
[null,null,"Titolo",null,"Computer Vision Methods for Fast Image Classiﬁcation and Retrieval / / by Rafał Scherer"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-12195-X"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (IX, 137 p. 85 illus., 55 illus. in color.)"]
[null,null,"Collana",null,"Studies in Computational Intelligence, , 1860-9503 ; ; 821"]
[null,null,"Disciplina",null,"006.37"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Computer Vision"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"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."]
[null,null,null,"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."]