Learning-based local visual representation and indexing /
General Material Designation
[Book]
First Statement of Responsibility
by Rongrong Ji, Yue Gao, Ling-Yu Duan, Hongxun Yao, Qionghai Dai
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xvii, 109 pages :
Other Physical Details
illustrations ;
Dimensions
24 cm
GENERAL NOTES
Text of Note
"Computer Science"--Cover
Text of Note
"Machine Learning"--Cover
Text of Note
"Reviews and Trends"--Cover
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references
SUMMARY OR ABSTRACT
Text of Note
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, as well as introduces the most recent advances in content-based visual search techniques. Key Features Discusses state-of-the-art procedures in learning-based local visual representation, Shows how to master the baste 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 Book jacket