Learning-based local visual representation and indexing

Learning-Based Local Visual Representation and Indexing , reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most rece...

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Bibliographic Details
Other Authors: Ji, Rongrong, author (author)
Format: eBook
Language:Inglés
Published: Amsterdam, [Netherlands] : Elsevier 2015.
Edition:First edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629581206719
Description
Summary:Learning-Based Local Visual Representation and Indexing , reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most recent advances in content-based visual search techniques. Discusses state-of-the-art procedures in learning-based local visual representation. Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing system Provides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation.
Item Description:"Machine Learning"--Cover.
"Reviews and Trends"--Cover.
"Computer Science"--Cover.
Physical Description:1 online resource (128 p.)
Bibliography:Includes bibliographical references.
ISBN:9780128024096