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Recent advances in intelligent image...

Liu, Chengjun.

Recent advances in intelligent image search and video retrieval

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent advances in intelligent image search and video retrievaledited by Chengjun Liu.
other author:	Liu, Chengjun.
Published:	Cham :Springer International Publishing :2017.
Description:	xvii, 235 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Information retrieval.
Online resource:	http://dx.doi.org/10.1007/978-3-319-52081-0
ISBN:	9783319520810$q(electronic bk.)

Recent advances in intelligent image search and video retrieval
Recent advances in intelligent image search and video retrieval[electronic resource] /edited by Chengjun Liu. - Cham :Springer International Publishing :2017. - xvii, 235 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1211868-4394 ;. - Intelligent systems reference library ;v.24..

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.

ISBN: 9783319520810$q(electronic bk.)

Standard No.: 10.1007/978-3-319-52081-0doiSubjects--Topical Terms:

215224
Information retrieval.

LC Class. No.: ZA3075

Dewey Class. No.: 025.0425

Recent advances in intelligent image search and video retrieval
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245 0 0 $a Recent advances in intelligent image search and video retrieval $h [electronic resource] / $c edited by Chengjun Liu.
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300 $a xvii, 235 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.121
505 0 $a 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.
520 $a 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.
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650 0 $a Image processing $x Digital techniques. $3 182119
650 0 $a Artificial intelligence. $3 194058
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650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
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