Visual quality assessment by machine learning:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore [u.a.]
Springer
2015
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Schriftenreihe: | SpringerBriefs in Electrical and Computer Engineering : Signal processing
|
Schlagworte: | |
Online-Zugang: | BHS01 BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract |
Beschreibung: | 1 Online-Ressource (XIV, 132 p. 19 illus., 16 illus. in color) |
ISBN: | 9789812874689 |
DOI: | 10.1007/978-981-287-468-9 |
Internformat
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Datensatz im Suchindex
DE-BY-FWS_katkey | 564049 |
---|---|
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adam_text | VISUAL QUALITY ASSESSMENT BY MACHINE LEARNING
/ XU, LONG
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION
FUNDAMENTAL KNOWLEDGES OF MACHINE LEARNING
IMAGE FEATURES AND FEATURE PROCESSING
FEATURE POOLING BY LEARNING
METRICS FUSION
SUMMARY AND REMARKS FOR FUTURE RESEARCH
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
VISUAL QUALITY ASSESSMENT BY MACHINE LEARNING
/ XU, LONG
: 2015
ABSTRACT / INHALTSTEXT
THE BOOK ENCOMPASSES THE STATE-OF-THE-ART VISUAL QUALITY ASSESSMENT
(VQA) AND LEARNING BASED VISUAL QUALITY ASSESSMENT (LB-VQA) BY PROVIDING
A COMPREHENSIVE OVERVIEW OF THE EXISTING RELEVANT METHODS. IT DELIVERS
THE READERS THE BASIC KNOWLEDGE, SYSTEMATIC OVERVIEW AND NEW DEVELOPMENT
OF VQA. IT ALSO ENCOMPASSES THE PRELIMINARY KNOWLEDGE OF MACHINE
LEARNING (ML) TO VQA TASKS AND NEWLY DEVELOPED ML TECHNIQUES FOR THE
PURPOSE. HENCE, FIRSTLY, IT IS PARTICULARLY HELPFUL TO THE
BEGINNER-READERS (INCLUDING RESEARCH STUDENTS) TO ENTER INTO VQA FIELD
IN GENERAL AND LB-VQA ONE IN PARTICULAR. SECONDLY, NEW DEVELOPMENT IN
VQA AND LB-VQA PARTICULARLY ARE DETAILED IN THIS BOOK, WHICH WILL GIVE
PEER RESEARCHERS AND ENGINEERS NEW INSIGHTS IN VQA.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author | Long, Xu |
author_facet | Long, Xu |
author_role | aut |
author_sort | Long, Xu |
author_variant | x l xl |
building | Verbundindex |
bvnumber | BV042592627 |
collection | ZDB-2-ENG |
ctrlnum | (OCoLC)910744355 (DE-599)BVBBV042592627 |
dewey-full | 621.382 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.382 |
dewey-search | 621.382 |
dewey-sort | 3621.382 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1007/978-981-287-468-9 |
format | Electronic eBook |
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id | DE-604.BV042592627 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T12:06:47Z |
institution | BVB |
isbn | 9789812874689 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028025839 |
oclc_num | 910744355 |
open_access_boolean | |
owner | DE-1046 DE-1043 DE-B768 DE-Aug4 DE-898 DE-BY-UBR DE-573 DE-859 DE-863 DE-BY-FWS DE-634 DE-92 DE-862 DE-BY-FWS DE-861 DE-706 |
owner_facet | DE-1046 DE-1043 DE-B768 DE-Aug4 DE-898 DE-BY-UBR DE-573 DE-859 DE-863 DE-BY-FWS DE-634 DE-92 DE-862 DE-BY-FWS DE-861 DE-706 |
physical | 1 Online-Ressource (XIV, 132 p. 19 illus., 16 illus. in color) |
psigel | ZDB-2-ENG ZDB-2-ENG_2015 |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Springer |
record_format | marc |
series2 | SpringerBriefs in Electrical and Computer Engineering : Signal processing |
spellingShingle | Long, Xu Visual quality assessment by machine learning Engineering Computer vision Signal, Image and Speech Processing Image Processing and Computer Vision Computational Intelligence Ingenieurwissenschaften |
title | Visual quality assessment by machine learning |
title_auth | Visual quality assessment by machine learning |
title_exact_search | Visual quality assessment by machine learning |
title_full | Visual quality assessment by machine learning Long Xu ; Weisi Lin ; C.-C. Jay Kuo |
title_fullStr | Visual quality assessment by machine learning Long Xu ; Weisi Lin ; C.-C. Jay Kuo |
title_full_unstemmed | Visual quality assessment by machine learning Long Xu ; Weisi Lin ; C.-C. Jay Kuo |
title_short | Visual quality assessment by machine learning |
title_sort | visual quality assessment by machine learning |
topic | Engineering Computer vision Signal, Image and Speech Processing Image Processing and Computer Vision Computational Intelligence Ingenieurwissenschaften |
topic_facet | Engineering Computer vision Signal, Image and Speech Processing Image Processing and Computer Vision Computational Intelligence Ingenieurwissenschaften |
url | https://doi.org/10.1007/978-981-287-468-9 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028025839&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=028025839&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT longxu visualqualityassessmentbymachinelearning AT linweisi visualqualityassessmentbymachinelearning AT kuoccjay visualqualityassessmentbymachinelearning |