Central Library

Intelligent Multimedia Data Analysis / (Record no. 84478)

000 -LEADER
fixed length control field 09274nam a22012255i 4500
001 - CONTROL NUMBER
control field 9783110552072
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730161613.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230228t20192019gw fo d z eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783110552072
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title
082 04 - CLASSIFICATION NUMBER
Call Number 006.7
245 00 - TITLE STATEMENT
Title Intelligent Multimedia Data Analysis /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (XII, 184 p.)
490 0# - SERIES STATEMENT
Series statement De Gruyter Frontiers in Computational Intelligence ,
520 ## - SUMMARY, ETC.
Summary, etc This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information. Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.
700 1# - AUTHOR 2
Author 2 Basu, Sudeep,
700 1# - AUTHOR 2
Author 2 Bhattacharyya, Siddhartha,
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Author 2 Bhattacharyya, Siddhartha,
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Author 2 Bora, Dibya Jyoti,
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Author 2 Cervantes-Sanchez, Fernando,
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Author 2 Cruz-Aceves, Ivan,
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Author 2 Das, Abhijit,
700 1# - AUTHOR 2
Author 2 Das, Rik,
700 1# - AUTHOR 2
Author 2 De, Sourav,
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Author 2 Dey, Alokananda,
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Author 2 Dey, Sandip,
700 1# - AUTHOR 2
Author 2 Ella Hassanien, Aboul,
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Author 2 Garain, Utpal,
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Author 2 Gupta, Shibakali,
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Author 2 Hassanien, Aboul Ella,
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Author 2 Hernandez-Aguirre, Arturo,
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Author 2 Mohanty, R. K.,
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Author 2 Mondal, Arindam,
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Author 2 Mukherjee, Anirban,
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Author 2 Pan, Indrajit,
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Author 2 Pan, Indrajit,
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Author 2 Roy, Mithun,
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Author 2 Salazar-Colores, Sebastian,
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Author 2 Singh, S. N.,
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Author 2 Snasel, Vaclav,
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Author 2 Sooraj, T. R.,
700 1# - AUTHOR 2
Author 2 Tripathy, B. K.,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1515/9783110552072
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.degruyter.com/isbn/9783110552072
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.degruyter.com/document/cover/isbn/9783110552072/original
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin ;
-- Boston :
-- De Gruyter,
-- [2019]
264 #4 -
-- ©2019
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
-- rda
588 0# -
-- Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Multimedia data mining.
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Human Computer Interaction.
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine Learning.
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Multimedia.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Interactive & Multimedia.
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-- 978-3-11-061015-4 EBOOK PACKAGE Engineering, Computer Sciences 2019 English
-- 2019
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-- 978-3-11-061076-5 EBOOK PACKAGE COMPLETE 2019 English
-- 2019
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-- 978-3-11-061685-9 EBOOK PACKAGE COMPLETE DG 2019 English
-- 2019
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-- 978-3-11-071956-7 DG Plus eBook-Package 2019
-- 2019
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-- 978-3-11-076246-4 DG Plus DeG Package 2019 Part 1
-- 2019
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-- EBA_BACKALL
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-- EBA_CL_CHCOMSGSEN
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-- PDA18STMEE
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-- PDA5EBK
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-- ZDB-23-DEI
-- 2019
912 ## -
-- ZDB-23-DGG
-- 2019

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