Visual indexing and retrieval:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
Springer
2012
|
| Schriftenreihe: | Springer briefs in computer science
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | VIII, 107 S. Ill., graph. Darst. |
| ISBN: | 9781461435877 1461435870 |
Internformat
MARC
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|---|---|---|---|
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| 003 | DE-604 | ||
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| 008 | 120522s2012 ad|| |||| 00||| eng d | ||
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| 020 | |a 1461435870 |c (pbk.) £26.99 |9 1-4614-3587-0 | ||
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| 100 | 1 | |a Benois-Pineau, Jenny |e Verfasser |0 (DE-588)1022635964 |4 aut | |
| 245 | 1 | 0 | |a Visual indexing and retrieval |c Jenny Benois-Pineau ; Frédéric Precioso ; Matthieu Cord |
| 264 | 1 | |a New York [u.a.] |b Springer |c 2012 | |
| 300 | |a VIII, 107 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Springer briefs in computer science | |
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| 700 | 1 | |a Cord, Matthieu |e Verfasser |4 aut | |
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Datensatz im Suchindex
| _version_ | 1804149168251338752 |
|---|---|
| adam_text | Contents
1
Introduction
................................................... 1
1.1
Context
and motivations
..................................... 1
1.2
Outline of the book
......................................... 2
2
Visual feature extraction and description
......................... 5
2.1
Introduction
............................................... 5
2.2
Visual primitive detection
.................................... 5
2.2.1
Point-based detectors
................................. 6
2.2.2
Region-based detectors
............................... 9
2.2.3
Spatio-temporal extension
............................. 12
2.3
Descriptors
................................................ 13
2.3.1
Feature spaces used by descriptors
...................... 13
2.3.2
Scale Invariant Feature Transform
...................... 16
2.3.3
Speeded Up Robust Features
........................... 18
2.3.4
Global GIST descriptor
............................... 19
2.4
Evaluation of feature detectors and descriptors
.................. 19
2.5
Conclusion
................................................ 20
3
Machine learning approaches for visual information retrieval
....... 21
3.1
Bag-of-Feature representations and similarities
.................. 21
3.1.1
Bag-of-Visual-Words approaches (BoVW)
............... 22
3.1.2
Vector distances and kernel functions
................... 24
3.1.3
Bag-of-Features (BoF) similarity and retrieval
............ 27
3.2
Learning algorithms
........................................ 31
3.2.1
Support Vector Machines
.............................. 31
3.2.2
Multiple Kernel Learning for feature combination
......... 33
3.2.3
Boosting
........................................... 35
3.2.4
Linear Programming Boosting (LPBoost) for Multiple
Kernel Learning (MKL)
............................... 36
3.2.5
Interactive learning
................................... 38
3.3
Conclusion
................................................ 40
viii Contents
4
Spatial
and multi-resolution context in visual indexing
............. 41
4.1
Introduction
............................................... 41
4.2
Incorporating spatial context
................................. 43
4.2.1
Local histograms of visual words
....................... 43
4.2.2
Context-matching kernels
............................. 44
4.2.3
Graph-matching
..................................... 46
4.2.4
Graph Words
........................................ 46
4.3
Multi-resolution in visual indexing
............................ 55
4.3.1
Low resolution and Rough Indexing Paradigm
............ 55
4.3.2
Multi-resolution and multiscale in image indexing
........ 56
4.3.3
Multi-resolution features and visual dictionaries
.......... 57
4.4
Conclusion
................................................ 62
5
Scalability issues in visual information retrieval
................... 65
5.1
Introduction
............................................... 65
5.2
Scalable Retrieval and Mining: A Typology of Problems
.......... 66
5.3
Principled Approaches to Scalability
.......................... 67
5.3.1
Scalable Retrieval
.................................... 68
5.3.2
Scalable Mining
..................................... 71
5.3.3
How to Evaluate Scalability
........................... 74
5.4
Trends in Scalable Visual Information Retrieval
................. 75
5.4.1
Complex Data
....................................... 75
5.4.2
Optimized Representations and Scalability
............... 77
5.4.3
Distributed Data and Resources
........................ 79
5.5
Conclusion
................................................ 80
6
Evaluation of visual information indexing and retrieval
............. 83
6.1
Introduction
............................................... 83
6.2
Organizing an evaluation campaign
........................... 84
6.2.1
Organization
........................................ 85
6.2.2
Terminology
........................................ 85
6.2.3
Agenda
............................................ 86
6.2.4
Copyrights and legal matters on the content set distribution
and exploitation
..................................... 87
6.2.5
Ground truth and annotation process
.................... 88
6.2.6
Evaluation metrics
................................... 88
6.3
Main evaluation campaigns overview
.......................... 90
6.3.1
TRECVID
.......................................... 90
6.3.2
PASCAL VOC and ILSVRC
........................... 93
6.3.3
Other evaluation campaigns
........................... 94
6.4
Conclusion
................................................ 95
References
......................................................... 97
|
| any_adam_object | 1 |
| author | Benois-Pineau, Jenny Precioso, Frédéric Cord, Matthieu |
| author_GND | (DE-588)1022635964 |
| author_facet | Benois-Pineau, Jenny Precioso, Frédéric Cord, Matthieu |
| author_role | aut aut aut |
| author_sort | Benois-Pineau, Jenny |
| author_variant | j b p jbp f p fp m c mc |
| building | Verbundindex |
| bvnumber | BV040146637 |
| classification_rvk | ST 270 ST 330 |
| ctrlnum | (OCoLC)796235159 (DE-599)BSZ363925279 |
| dewey-full | 005.74 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.74 |
| dewey-search | 005.74 |
| dewey-sort | 15.74 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV040146637 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:18:44Z |
| institution | BVB |
| isbn | 9781461435877 1461435870 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025003446 |
| oclc_num | 796235159 |
| open_access_boolean | |
| owner | DE-12 DE-523 |
| owner_facet | DE-12 DE-523 |
| physical | VIII, 107 S. Ill., graph. Darst. |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Springer |
| record_format | marc |
| series2 | Springer briefs in computer science |
| spelling | Benois-Pineau, Jenny Verfasser (DE-588)1022635964 aut Visual indexing and retrieval Jenny Benois-Pineau ; Frédéric Precioso ; Matthieu Cord New York [u.a.] Springer 2012 VIII, 107 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Springer briefs in computer science Information Retrieval (DE-588)4072803-1 gnd rswk-swf Indexierung Inhaltserschließung (DE-588)4120478-5 gnd rswk-swf Visuelle Medien (DE-588)4188423-1 gnd rswk-swf Bild (DE-588)4006568-6 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Bildinformatik (DE-588)7689894-5 gnd rswk-swf Bild (DE-588)4006568-6 s Information Retrieval (DE-588)4072803-1 s DE-604 Bildinformatik (DE-588)7689894-5 s Maschinelles Sehen (DE-588)4129594-8 s Visuelle Medien (DE-588)4188423-1 s Indexierung Inhaltserschließung (DE-588)4120478-5 s 1\p DE-604 Precioso, Frédéric Verfasser aut Cord, Matthieu Verfasser aut Digitalisierung BSB Muenchen 4 application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025003446&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Benois-Pineau, Jenny Precioso, Frédéric Cord, Matthieu Visual indexing and retrieval Information Retrieval (DE-588)4072803-1 gnd Indexierung Inhaltserschließung (DE-588)4120478-5 gnd Visuelle Medien (DE-588)4188423-1 gnd Bild (DE-588)4006568-6 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Bildinformatik (DE-588)7689894-5 gnd |
| subject_GND | (DE-588)4072803-1 (DE-588)4120478-5 (DE-588)4188423-1 (DE-588)4006568-6 (DE-588)4129594-8 (DE-588)7689894-5 |
| title | Visual indexing and retrieval |
| title_auth | Visual indexing and retrieval |
| title_exact_search | Visual indexing and retrieval |
| title_full | Visual indexing and retrieval Jenny Benois-Pineau ; Frédéric Precioso ; Matthieu Cord |
| title_fullStr | Visual indexing and retrieval Jenny Benois-Pineau ; Frédéric Precioso ; Matthieu Cord |
| title_full_unstemmed | Visual indexing and retrieval Jenny Benois-Pineau ; Frédéric Precioso ; Matthieu Cord |
| title_short | Visual indexing and retrieval |
| title_sort | visual indexing and retrieval |
| topic | Information Retrieval (DE-588)4072803-1 gnd Indexierung Inhaltserschließung (DE-588)4120478-5 gnd Visuelle Medien (DE-588)4188423-1 gnd Bild (DE-588)4006568-6 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Bildinformatik (DE-588)7689894-5 gnd |
| topic_facet | Information Retrieval Indexierung Inhaltserschließung Visuelle Medien Bild Maschinelles Sehen Bildinformatik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025003446&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT benoispineaujenny visualindexingandretrieval AT preciosofrederic visualindexingandretrieval AT cordmatthieu visualindexingandretrieval |