Social Multimedia Signals (Record no. 57313)

000 -LEADER
fixed length control field 03689nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-319-09117-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112219.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140811s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319091174
-- 978-3-319-09117-4
082 04 - CLASSIFICATION NUMBER
Call Number 621.382
100 1# - AUTHOR NAME
Author Roy, Suman Deb.
245 10 - TITLE STATEMENT
Title Social Multimedia Signals
Sub Title A Signal Processing Approach to Social Network Phenomena /
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 176 p. 95 illus., 79 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Web 2.x -- Media on the Web -- The World of Signals -- The Network and the Signal -- Detection - Needle in a Haystack -- Estimation - The Empirical Judgment -- Following Signal Trajectories -- Capturing Cross-Domain Ripples -- Socially-aware Media Applications -- Revelations from Social Multimedia Data -- Socio-Semantic Analysis -- Data Visualization: Gazing at Ripples.
520 ## - SUMMARY, ETC.
Summary, etc Social Multimedia Signals is intended for those whose interest is to study the Social Web and develop automated tools to analyze it better. It is especially useful for researchers experienced with signal processing or multimedia analysis but have little exposure to social networks and social multimedia data. Those new to social multimedia should find the first chapters extremely useful to get a thorough look at how social data behaves. Conversely, social scientists should find useful the authors' introduction to several signal processing techniques that can be employed to manipulate large-scale social data. For those new to signal processing, Chapters 5, 6 and 7 will get readers underway with basic techniques for signal processing from social multimedia. Later chapters include a significant amount of material on machine learning for those interested in intelligent algorithms for the Social Web. The authors wrote this book in a balanced fashion, for multimedia researchers, social scientists, network scientists, data scientists who work with social web data, and professionals who use social media on a daily basis.   �         Explores how media popularity in one domain is determined by another domain; �         Presents a granular look at social networks: micro, meso, and macro; �         Examines finding hidden communities in social networks based on shared multimedia.
700 1# - AUTHOR 2
Author 2 Zeng, Wenjun.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-09117-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial management.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Input-output equipment (Computers).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Image and Speech Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Input/Output and Data Communications.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Media Management.
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-- ZDB-2-ENG

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