Semantic Video Object Segmentation for Content-Based Multimedia Applications:
Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Semantic object extraction is an essential element in c...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
2002
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Schriftenreihe: | The Springer International Series in Engineering and Computer Science
639 |
Schlagworte: | |
Online-Zugang: | FHI01 BTU01 Volltext |
Zusammenfassung: | Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. An interactive system called SIVOG (Smart Interactive Video Object Generation) is presented, which converts user's semantic input into a form that can be conveniently integrated with low-level video processing. Thus, high-level semantic information and low-level video features are integrated seamlessly into a smart segmentation system. A region and temporal adaptive algorithm was further proposed to improve the efficiency of the SIVOG system so that it is feasible to achieve nearly real-time video object segmentation with robust and accurate performances. Also included is an examination of the shape coding problem and the object segmentation problem simultaneously. Semantic Video Object Segmentation for Content-Based Multimedia Applications will be of great interest to research scientists and graduate-level students working in the area of content-based multimedia representation and applications and its related fields |
Beschreibung: | 1 Online-Ressource (XXI, 109 p) |
ISBN: | 9781461515036 |
DOI: | 10.1007/978-1-4615-1503-6 |
Internformat
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520 | |a Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. An interactive system called SIVOG (Smart Interactive Video Object Generation) is presented, which converts user's semantic input into a form that can be conveniently integrated with low-level video processing. Thus, high-level semantic information and low-level video features are integrated seamlessly into a smart segmentation system. A region and temporal adaptive algorithm was further proposed to improve the efficiency of the SIVOG system so that it is feasible to achieve nearly real-time video object segmentation with robust and accurate performances. Also included is an examination of the shape coding problem and the object segmentation problem simultaneously. Semantic Video Object Segmentation for Content-Based Multimedia Applications will be of great interest to research scientists and graduate-level students working in the area of content-based multimedia representation and applications and its related fields | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Guo, Ju Kuo, C.-C. Jay |
author_facet | Guo, Ju Kuo, C.-C. Jay |
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dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-1-4615-1503-6 |
format | Electronic eBook |
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id | DE-604.BV045148921 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:02Z |
institution | BVB |
isbn | 9781461515036 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538620 |
oclc_num | 1050922207 |
open_access_boolean | |
owner | DE-573 DE-634 |
owner_facet | DE-573 DE-634 |
physical | 1 Online-Ressource (XXI, 109 p) |
psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
publishDate | 2002 |
publishDateSearch | 2002 |
publishDateSort | 2002 |
publisher | Springer US |
record_format | marc |
series2 | The Springer International Series in Engineering and Computer Science |
spelling | Guo, Ju Verfasser aut Semantic Video Object Segmentation for Content-Based Multimedia Applications by Ju Guo, C.-C. Jay Kuo Boston, MA Springer US 2002 1 Online-Ressource (XXI, 109 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 639 Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. An interactive system called SIVOG (Smart Interactive Video Object Generation) is presented, which converts user's semantic input into a form that can be conveniently integrated with low-level video processing. Thus, high-level semantic information and low-level video features are integrated seamlessly into a smart segmentation system. A region and temporal adaptive algorithm was further proposed to improve the efficiency of the SIVOG system so that it is feasible to achieve nearly real-time video object segmentation with robust and accurate performances. Also included is an examination of the shape coding problem and the object segmentation problem simultaneously. Semantic Video Object Segmentation for Content-Based Multimedia Applications will be of great interest to research scientists and graduate-level students working in the area of content-based multimedia representation and applications and its related fields Computer Science Image Processing and Computer Vision Multimedia Information Systems Information Storage and Retrieval Signal, Image and Speech Processing Computer Science, general Computer science Information storage and retrieval Multimedia information systems Image processing Kuo, C.-C. Jay aut Erscheint auch als Druck-Ausgabe 9781461355861 https://doi.org/10.1007/978-1-4615-1503-6 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Guo, Ju Kuo, C.-C. Jay Semantic Video Object Segmentation for Content-Based Multimedia Applications Computer Science Image Processing and Computer Vision Multimedia Information Systems Information Storage and Retrieval Signal, Image and Speech Processing Computer Science, general Computer science Information storage and retrieval Multimedia information systems Image processing |
title | Semantic Video Object Segmentation for Content-Based Multimedia Applications |
title_auth | Semantic Video Object Segmentation for Content-Based Multimedia Applications |
title_exact_search | Semantic Video Object Segmentation for Content-Based Multimedia Applications |
title_full | Semantic Video Object Segmentation for Content-Based Multimedia Applications by Ju Guo, C.-C. Jay Kuo |
title_fullStr | Semantic Video Object Segmentation for Content-Based Multimedia Applications by Ju Guo, C.-C. Jay Kuo |
title_full_unstemmed | Semantic Video Object Segmentation for Content-Based Multimedia Applications by Ju Guo, C.-C. Jay Kuo |
title_short | Semantic Video Object Segmentation for Content-Based Multimedia Applications |
title_sort | semantic video object segmentation for content based multimedia applications |
topic | Computer Science Image Processing and Computer Vision Multimedia Information Systems Information Storage and Retrieval Signal, Image and Speech Processing Computer Science, general Computer science Information storage and retrieval Multimedia information systems Image processing |
topic_facet | Computer Science Image Processing and Computer Vision Multimedia Information Systems Information Storage and Retrieval Signal, Image and Speech Processing Computer Science, general Computer science Information storage and retrieval Multimedia information systems Image processing |
url | https://doi.org/10.1007/978-1-4615-1503-6 |
work_keys_str_mv | AT guoju semanticvideoobjectsegmentationforcontentbasedmultimediaapplications AT kuoccjay semanticvideoobjectsegmentationforcontentbasedmultimediaapplications |