Exploration of Visual Data:
Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines. The two key issues emphasiz...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer US
2003
|
Ausgabe: | 1st ed. 2003 |
Schriftenreihe: | The International Series in Video Computing
7 |
Schlagworte: | |
Online-Zugang: | UBY01 Volltext |
Zusammenfassung: | Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines. The two key issues emphasized are "content-awareness" and "user-in-the-loop". The authors provide a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure, and techniques for incorporating such information to aid browsing, exploration, search, and streaming of image and video data. They also discuss issues related to the mixed use of textual and low-level visual features to facilitate more effective access of multimedia data. Exploration of Visual Data provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished |
Beschreibung: | 1 Online-Ressource (XVII, 187 p) |
ISBN: | 9781461504979 |
DOI: | 10.1007/978-1-4615-0497-9 |
Internformat
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520 | |a Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines. The two key issues emphasized are "content-awareness" and "user-in-the-loop". The authors provide a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure, and techniques for incorporating such information to aid browsing, exploration, search, and streaming of image and video data. They also discuss issues related to the mixed use of textual and low-level visual features to facilitate more effective access of multimedia data. Exploration of Visual Data provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished | ||
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Datensatz im Suchindex
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author | Xiang Zhou, Sean Yong Rui Huang, Thomas S. |
author_facet | Xiang Zhou, Sean Yong Rui Huang, Thomas S. |
author_role | aut aut aut |
author_sort | Xiang Zhou, Sean |
author_variant | z s x zs zsx y r yr t s h ts tsh |
building | Verbundindex |
bvnumber | BV047064735 |
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dewey-full | 006.6 006.37 |
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dewey-ones | 006 - Special computer methods |
dewey-raw | 006.6 006.37 |
dewey-search | 006.6 006.37 |
dewey-sort | 16.6 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.1007/978-1-4615-0497-9 |
edition | 1st ed. 2003 |
format | Electronic eBook |
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id | DE-604.BV047064735 |
illustrated | Not Illustrated |
index_date | 2024-07-03T16:12:23Z |
indexdate | 2024-07-10T09:01:35Z |
institution | BVB |
isbn | 9781461504979 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471847 |
oclc_num | 1227477122 |
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owner | DE-706 |
owner_facet | DE-706 |
physical | 1 Online-Ressource (XVII, 187 p) |
psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
publishDate | 2003 |
publishDateSearch | 2003 |
publishDateSort | 2003 |
publisher | Springer US |
record_format | marc |
series2 | The International Series in Video Computing |
spelling | Xiang Zhou, Sean Verfasser aut Exploration of Visual Data by Sean Xiang Zhou, Yong Rui, Thomas S. Huang 1st ed. 2003 New York, NY Springer US 2003 1 Online-Ressource (XVII, 187 p) txt rdacontent c rdamedia cr rdacarrier The International Series in Video Computing 7 Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines. The two key issues emphasized are "content-awareness" and "user-in-the-loop". The authors provide a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure, and techniques for incorporating such information to aid browsing, exploration, search, and streaming of image and video data. They also discuss issues related to the mixed use of textual and low-level visual features to facilitate more effective access of multimedia data. Exploration of Visual Data provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Multimedia Information Systems Data Structures and Information Theory Optical data processing Artificial intelligence Multimedia information systems Data structures (Computer science) Merkmalsextraktion (DE-588)4314440-8 gnd rswk-swf Visualisierung (DE-588)4188417-6 gnd rswk-swf Bildauswertung (DE-588)4145394-3 gnd rswk-swf Videobild (DE-588)4563329-0 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Videobild (DE-588)4563329-0 s Bildauswertung (DE-588)4145394-3 s Merkmalsextraktion (DE-588)4314440-8 s DE-604 Maschinelles Sehen (DE-588)4129594-8 s Visualisierung (DE-588)4188417-6 s Yong Rui aut Huang, Thomas S. aut Erscheint auch als Druck-Ausgabe 9781461351061 Erscheint auch als Druck-Ausgabe 9781402075698 Erscheint auch als Druck-Ausgabe 9781461504986 https://doi.org/10.1007/978-1-4615-0497-9 Verlag URL des Eerstveröffentlichers Volltext |
spellingShingle | Xiang Zhou, Sean Yong Rui Huang, Thomas S. Exploration of Visual Data Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Multimedia Information Systems Data Structures and Information Theory Optical data processing Artificial intelligence Multimedia information systems Data structures (Computer science) Merkmalsextraktion (DE-588)4314440-8 gnd Visualisierung (DE-588)4188417-6 gnd Bildauswertung (DE-588)4145394-3 gnd Videobild (DE-588)4563329-0 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
subject_GND | (DE-588)4314440-8 (DE-588)4188417-6 (DE-588)4145394-3 (DE-588)4563329-0 (DE-588)4129594-8 |
title | Exploration of Visual Data |
title_auth | Exploration of Visual Data |
title_exact_search | Exploration of Visual Data |
title_exact_search_txtP | Exploration of Visual Data |
title_full | Exploration of Visual Data by Sean Xiang Zhou, Yong Rui, Thomas S. Huang |
title_fullStr | Exploration of Visual Data by Sean Xiang Zhou, Yong Rui, Thomas S. Huang |
title_full_unstemmed | Exploration of Visual Data by Sean Xiang Zhou, Yong Rui, Thomas S. Huang |
title_short | Exploration of Visual Data |
title_sort | exploration of visual data |
topic | Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Multimedia Information Systems Data Structures and Information Theory Optical data processing Artificial intelligence Multimedia information systems Data structures (Computer science) Merkmalsextraktion (DE-588)4314440-8 gnd Visualisierung (DE-588)4188417-6 gnd Bildauswertung (DE-588)4145394-3 gnd Videobild (DE-588)4563329-0 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
topic_facet | Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Multimedia Information Systems Data Structures and Information Theory Optical data processing Artificial intelligence Multimedia information systems Data structures (Computer science) Merkmalsextraktion Visualisierung Bildauswertung Videobild Maschinelles Sehen |
url | https://doi.org/10.1007/978-1-4615-0497-9 |
work_keys_str_mv | AT xiangzhousean explorationofvisualdata AT yongrui explorationofvisualdata AT huangthomass explorationofvisualdata |