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Recent Advances in Intelligent Image Search and Video Retrieval: Contributions t

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9783319520803
Book Title
Recent Advances in Intelligent Image Search and Video Retrieval
ISBN
9783319520803
Subject Area
Computers, Technology & Engineering
Publication Name
Recent Advances in Intelligent Image Search and Video Retrieval : Contributions to the 9th Workshop on Cyclostationary Systems and Their Applications, Grodek, Poland 2016
Publisher
Springer International Publishing A&G
Item Length
9.3 in
Subject
Engineering (General), Intelligence (Ai) & Semantics, Image Processing, Computer Vision & Pattern Recognition
Publication Year
2017
Series
Intelligent Systems Référence Library
Type
Textbook
Format
Hardcover
Language
English
Author
Chengjun Liu
Item Weight
179.5 Oz
Item Width
6.1 in
Number of Pages
Xvii, 235 Pages

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3319520806
ISBN-13
9783319520803
eBay Product ID (ePID)
236576752

Product Key Features

Number of Pages
Xvii, 235 Pages
Publication Name
Recent Advances in Intelligent Image Search and Video Retrieval : Contributions to the 9th Workshop on Cyclostationary Systems and Their Applications, Grodek, Poland 2016
Language
English
Publication Year
2017
Subject
Engineering (General), Intelligence (Ai) & Semantics, Image Processing, Computer Vision & Pattern Recognition
Type
Textbook
Subject Area
Computers, Technology & Engineering
Author
Chengjun Liu
Series
Intelligent Systems Référence Library
Format
Hardcover

Dimensions

Item Weight
179.5 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Series Volume Number
121
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Feature Representation and Extraction for Image Search and Video Retrieval.- Learning and Recognition Methods for Image Search and Video Retrieval.- Improved Soft Assignment Coding for Image ClassiFication.- Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship VeriFication.- Novel Sparse Kernel Manifold Learner for Image ClassiFication Applications.- A New EfFicient SVM (eSVM) with Applications to Accurate and EfFicient Eye Search in Images.- SIFT Features in Multiple Color Spaces for Improved Image ClassiFication.- Clothing Analysis for Subject IdentiFication and Retrieval.- Performance Evaluation of Video Analytics for TrafFic Incident Detection and Vehicle Counts Collection.
Synopsis
Feature Representation and Extraction for Image Search and Video Retrieval.- Learning and Recognition Methods for Image Search and Video Retrieval.- Improved Soft Assignment Coding for Image ClassiFication.- Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship VeriFication.- Novel Sparse Kernel Manifold Learner for Image ClassiFication Applications.- A New EfFicient SVM (eSVM) with Applications to Accurate and EfFicient Eye Search in Images.- SIFT Features in Multiple Color Spaces for Improved Image ClassiFication.- Clothing Analysis for Subject IdentiFication and Retrieval.- Performance Evaluation of Video Analytics for TrafFic Incident Detection and Vehicle Counts Collection., This book initially reviews the major feature representation and extraction methods and effective learning and recognition approaches, which have broad applications in the context of intelligent image search and video retrieval. It subsequently presents novel methods, such as improved soft assignment coding, Inheritable Color Space (InCS) and the Generalized InCS framework, the sparse kernel manifold learner method, the efficient Support Vector Machine (eSVM), and the Scale-Invariant Feature Transform (SIFT) features in multiple color spaces. Lastly, the book presents clothing analysis for subject identification and retrieval, and performance evaluation methods of video analytics for traffic monitoring. Digital images and videos are proliferating at an amazing speed in the fields of science, engineering and technology, media and entertainment. With the huge accumulation of such data, keyword searches and manual annotation schemes may no longer be able to meet the practical demand for retrieving relevant content from images and videos, a challenge this book addresses.This book initially reviews the major feature representation and extraction methods and effective learning and recognition approaches, which have broad applications in the context of intelligent image search and video retrieval. It subsequently presents novel methods, such as improved soft assignment coding, Inheritable Color Space (InCS) and the Generalized InCS framework, the sparse kernel manifold learner method, the efficient Support Vector Machine (eSVM), and the Scale-Invariant Feature Transform (SIFT) features in multiple color spaces. Lastly, the book presents clothing analysis for subject identification and retrieval, and performance evaluation methods of video analytics for traffic monitoring. Digital images and videos are proliferating at an amazing speed in the fields of science, engineering and technology, media and entertainment. With the huge accumulation of such data, keyword searches and manual annotation schemes may no longer be able to meet the practical demand for retrieving relevant content from images and videos, a challenge this book addresses.
LC Classification Number
Q342

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