Recent Advances in Intelligent Image Search and Video Retrieval (Record no. 81019)

000 -LEADER
fixed length control field 03786nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-319-52081-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801222648.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170418s2017 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319520810
-- 978-3-319-52081-0
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Recent Advances in Intelligent Image Search and Video Retrieval
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVII, 235 p. 88 illus., 85 illus. in color.
490 1# - SERIES STATEMENT
Series statement Intelligent Systems Reference Library,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Liu, Chengjun.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-52081-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2017.
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-- text
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-- computer
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-- rdamedia
338 ## -
-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer vision.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Vision.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1868-4408 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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