Multimedia Data Mining and Analytics: Disruptive Innovation
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer International Publishing
2015
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Schlagworte: | |
Online-Zugang: | BTU01 FHA01 FHI01 FHM01 FHN01 FKE01 FLA01 FRO01 UBG01 UBM01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract |
Beschreibung: | 1 Online-Ressource (XIV, 454 p.) Ill. |
ISBN: | 9783319149981 |
DOI: | 10.1007/978-3-319-14998-1 |
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Datensatz im Suchindex
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adam_text | MULTIMEDIA DATA MINING AND ANALYTICS
/ BAUGHMAN, AARON K.
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
PART I: INTRODUCTION
DISRUPTIVE INNOVATION: LARGE SCALE MULTIMEDIA DATA MINING
PART II: MOBILE AND SOCIAL MULTIMEDIA DATA EXPLORATION
SENTIMENT ANALYSIS USING SOCIAL MULTIMEDIA
TWITTER AS A PERSONALIZABLE INFORMATION SERVICE
MINING POPULAR ROUTES FROM SOCIAL MEDIA
SOCIAL INTERACTIONS OVER LOCATION-AWARE MULTIMEDIA SYSTEMS
IN-HOUSE MULTIMEDIA DATA MINING
CONTENT-BASED PRIVACY FOR CONSUMER-PRODUCED MULTIMEDIA
PART III: BIOMETRIC MULTIMEDIA DATA PROCESSING
LARGE-SCALE BIOMETRIC MULTIMEDIA PROCESSING
DETECTION OF DEMOGRAPHICS AND IDENTITY IN SPONTANEOUS SPEECH AND WRITING
PART IV: MULTIMEDIA DATA MODELING, SEARCH AND EVALUATION
EVALUATING WEB IMAGE CONTEXT EXTRACTION
CONTENT BASED IMAGE SEARCH FOR CLOTHING RECOMMENDATIONS IN E-COMMERCE
VIDEO RETRIEVAL BASED ON UNCERTAIN CONCEPT DETECTION USING
DEMPSTER-SHAFER THEORY
MULTIMODAL FUSION: COMBINING VISUAL AND TEXTUAL CUES FOR CONCEPT
DETECTION IN VIDEO
MINING VIDEOS FOR FEATURES THAT DRIVE ATTENTION
EXPOSING IMAGE TAMPERING WITH THE SAME QUANTIZATION MATRIX
PART V: ALGORITHMS FOR MULTIMEDIA DATA PRESENTATION, PROCESSING AND
VISUALIZATION
FAST BINARY EMBEDDING FOR HIGH-DIMENSIONAL DATA
FAST APPROXIMATE K-MEANS VIA CLUSTER CLOSURES
FAST NEIGHBORHOOD GRAPH SEARCH USING CARTESIAN CONCATENATION
LISTEN TO THE SOUND OF DATA
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
MULTIMEDIA DATA MINING AND ANALYTICS
/ BAUGHMAN, AARON K.
: 2015
ABSTRACT / INHALTSTEXT
THIS AUTHORITATIVE TEXT/REFERENCE PROVIDES FRESH INSIGHTS INTO THE
CUTTING EDGE OF MULTIMEDIA DATA MINING, REFLECTING HOW THE RESEARCH
FOCUS HAS SHIFTED TOWARDS NETWORKED SOCIAL COMMUNITIES, MOBILE DEVICES
AND SENSORS. PRESENTING A DETAILED EXPLORATION INTO THE PROGRESSION OF
THE FIELD, THE BOOK DESCRIBES HOW THE HISTORY OF MULTIMEDIA DATA
PROCESSING CAN BE VIEWED AS A SEQUENCE OF DISRUPTIVE INNOVATIONS. ACROSS
THE CHAPTERS, THE DISCUSSION COVERS THE PRACTICAL FRAMEWORKS, LIBRARIES,
AND OPEN SOURCE SOFTWARE THAT ENABLE THE DEVELOPMENT OF GROUND-BREAKING
RESEARCH INTO PRACTICAL APPLICATIONS. TOPICS AND FEATURES:
CONTAINS CONTRIBUTIONS FROM AN INTERNATIONAL
SELECTION OF PRE-EMINENT AUTHORITIES IN THE FIELD
REVIEWS HOW DISRUPTIVE INNOVATIONS IN MOBILE, SOCIAL, COGNITIVE, CLOUD
AND ORGANIC BASED COMPUTING IMPACTS UPON THE DEVELOPMENT OF MULTIMEDIA
DATA MINING PROVIDES PRACTICAL DETAILS ON
IMPLEMENTING THE TECHNOLOGY FOR SOLVING REAL-WORLD MULTIMEDIA PROBLEMS
INCLUDES CHAPTERS DEVOTED TO PRIVACY ISSUES IN
MULTIMEDIA SOCIAL ENVIRONMENTS, AND LARGE-SCALE BIOMETRIC DATA
PROCESSING COVERS CONTENT AND CONCEPT BASED
MULTIMEDIA SEARCH, AND ADVANCED ALGORITHMS FOR MULTIMEDIA DATA
REPRESENTATION, PROCESSING AND VISUALIZATION THE ILLUMINATING VIEWPOINTS
PRESENTED IN THIS COMPREHENSIVE VOLUME WILL BE OF GREAT INTEREST TO
RESEARCHERS AND GRADUATE STUDENTS INVOLVED IN MACHINE LEARNING AND
PATTERN RECOGNITION, AS WELL AS TO PROFESSIONAL MULTIMEDIA ANALYSTS AND
SOFTWARE DEVELOPERS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author | Baughman, Aaron K. |
author_facet | Baughman, Aaron K. |
author_role | aut |
author_sort | Baughman, Aaron K. |
author_variant | a k b ak akb |
building | Verbundindex |
bvnumber | BV042481815 |
classification_rvk | ST 530 |
collection | ZDB-2-SCS |
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dewey-full | 006.7 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.7 |
dewey-search | 006.7 |
dewey-sort | 16.7 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-3-319-14998-1 |
format | Electronic eBook |
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illustrated | Illustrated |
indexdate | 2024-07-10T01:23:00Z |
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oclc_num | 907012236 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-M347 DE-573 DE-859 DE-703 DE-473 DE-BY-UBG DE-20 DE-92 DE-29 DE-634 DE-860 DE-861 DE-739 |
owner_facet | DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-M347 DE-573 DE-859 DE-703 DE-473 DE-BY-UBG DE-20 DE-92 DE-29 DE-634 DE-860 DE-861 DE-739 |
physical | 1 Online-Ressource (XIV, 454 p.) Ill. |
psigel | ZDB-2-SCS ZDB-2-SCS_2015 |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Springer International Publishing |
record_format | marc |
spelling | Baughman, Aaron K. Verfasser aut Multimedia Data Mining and Analytics Disruptive Innovation edited by Aaron K. Baughman, Jiang Gao, Jia-Yu Pan, Valery A. Petrushin Cham Springer International Publishing 2015 1 Online-Ressource (XIV, 454 p.) Ill. txt rdacontent c rdamedia cr rdacarrier Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Informatik (DE-588)4026894-9 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Informatik (DE-588)4026894-9 s Data Mining (DE-588)4428654-5 s Künstliche Intelligenz (DE-588)4033447-8 s Maschinelles Sehen (DE-588)4129594-8 s Datenanalyse (DE-588)4123037-1 s DE-604 Gao, Jiang Sonstige oth Pan, Jia-Yu Sonstige oth Petrushin, Valery A. Sonstige oth Erscheint auch als Druckausgabe 978-3-319-14997-4 https://doi.org/10.1007/978-3-319-14998-1 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027916774&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027916774&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
spellingShingle | Baughman, Aaron K. Multimedia Data Mining and Analytics Disruptive Innovation Künstliche Intelligenz (DE-588)4033447-8 gnd Informatik (DE-588)4026894-9 gnd Data Mining (DE-588)4428654-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Datenanalyse (DE-588)4123037-1 gnd |
subject_GND | (DE-588)4033447-8 (DE-588)4026894-9 (DE-588)4428654-5 (DE-588)4129594-8 (DE-588)4123037-1 |
title | Multimedia Data Mining and Analytics Disruptive Innovation |
title_auth | Multimedia Data Mining and Analytics Disruptive Innovation |
title_exact_search | Multimedia Data Mining and Analytics Disruptive Innovation |
title_full | Multimedia Data Mining and Analytics Disruptive Innovation edited by Aaron K. Baughman, Jiang Gao, Jia-Yu Pan, Valery A. Petrushin |
title_fullStr | Multimedia Data Mining and Analytics Disruptive Innovation edited by Aaron K. Baughman, Jiang Gao, Jia-Yu Pan, Valery A. Petrushin |
title_full_unstemmed | Multimedia Data Mining and Analytics Disruptive Innovation edited by Aaron K. Baughman, Jiang Gao, Jia-Yu Pan, Valery A. Petrushin |
title_short | Multimedia Data Mining and Analytics |
title_sort | multimedia data mining and analytics disruptive innovation |
title_sub | Disruptive Innovation |
topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Informatik (DE-588)4026894-9 gnd Data Mining (DE-588)4428654-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Datenanalyse (DE-588)4123037-1 gnd |
topic_facet | Künstliche Intelligenz Informatik Data Mining Maschinelles Sehen Datenanalyse |
url | https://doi.org/10.1007/978-3-319-14998-1 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027916774&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027916774&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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