Event analysis in social multimedia: a survey

Abstract Recent years have witnessed the rapid growth of social multimedia data available over the Internet. The age of huge amount of media collection provides users facilities to share and access data, while it also demands the revolution of data management techniques, since the exponential growth...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Liu, Xueliang [verfasserIn] Wang, Meng [verfasserIn] Huet, Benoit [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	event enrichment event detection event categorization

Übergeordnetes Werk:	Enthalten in: Frontiers of computer science in China - Beijing : Higher Education Press, 2007, 10(2015), 3 vom: 08. Sept., Seite 433-446
Übergeordnetes Werk:	volume:10 ; year:2015 ; number:3 ; day:08 ; month:09 ; pages:433-446

Links:	Volltext

DOI / URN:	10.1007/s11704-015-4583-2

Katalog-ID:	SPR021939284

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spelling	10.1007/s11704-015-4583-2 doi (DE-627)SPR021939284 (SPR)s11704-015-4583-2-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl Liu, Xueliang verfasserin aut Event analysis in social multimedia: a survey 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Recent years have witnessed the rapid growth of social multimedia data available over the Internet. The age of huge amount of media collection provides users facilities to share and access data, while it also demands the revolution of data management techniques, since the exponential growth of social multimedia requires more scalable, effective and robust technologies to manage and index them. The event is one of the most important cues to recall people’s past memory. The reminder value of an event makes it extremely helpful in organizing data. The study of event based analysis on social multimedia data has drawn intensive attention in research community. In this article, we provide a comprehensive survey on event based analysis over social multimedia data, including event enrichment, detection, and categorization. We introduce each paradigm and summarize related research efforts. In addition, we also suggest the emerging trends in this research area. event enrichment (dpeaa)DE-He213 event detection (dpeaa)DE-He213 event categorization (dpeaa)DE-He213 Wang, Meng verfasserin aut Huet, Benoit verfasserin aut Enthalten in Frontiers of computer science in China Beijing : Higher Education Press, 2007 10(2015), 3 vom: 08. Sept., Seite 433-446 (DE-627)545787726 (DE-600)2388878-7 1673-7466 nnns volume:10 year:2015 number:3 day:08 month:09 pages:433-446 https://dx.doi.org/10.1007/s11704-015-4583-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 54.00 ASE AR 10 2015 3 08 09 433-446
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language	English
source	Enthalten in Frontiers of computer science in China 10(2015), 3 vom: 08. Sept., Seite 433-446 volume:10 year:2015 number:3 day:08 month:09 pages:433-446
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author	Liu, Xueliang
spellingShingle	Liu, Xueliang ddc 004 bkl 54.00 misc event enrichment misc event detection misc event categorization Event analysis in social multimedia: a survey
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title	Event analysis in social multimedia: a survey
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title_full	Event analysis in social multimedia: a survey
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title_sort	event analysis in social multimedia: a survey
title_auth	Event analysis in social multimedia: a survey
abstract	Abstract Recent years have witnessed the rapid growth of social multimedia data available over the Internet. The age of huge amount of media collection provides users facilities to share and access data, while it also demands the revolution of data management techniques, since the exponential growth of social multimedia requires more scalable, effective and robust technologies to manage and index them. The event is one of the most important cues to recall people’s past memory. The reminder value of an event makes it extremely helpful in organizing data. The study of event based analysis on social multimedia data has drawn intensive attention in research community. In this article, we provide a comprehensive survey on event based analysis over social multimedia data, including event enrichment, detection, and categorization. We introduce each paradigm and summarize related research efforts. In addition, we also suggest the emerging trends in this research area.
abstractGer	Abstract Recent years have witnessed the rapid growth of social multimedia data available over the Internet. The age of huge amount of media collection provides users facilities to share and access data, while it also demands the revolution of data management techniques, since the exponential growth of social multimedia requires more scalable, effective and robust technologies to manage and index them. The event is one of the most important cues to recall people’s past memory. The reminder value of an event makes it extremely helpful in organizing data. The study of event based analysis on social multimedia data has drawn intensive attention in research community. In this article, we provide a comprehensive survey on event based analysis over social multimedia data, including event enrichment, detection, and categorization. We introduce each paradigm and summarize related research efforts. In addition, we also suggest the emerging trends in this research area.
abstract_unstemmed	Abstract Recent years have witnessed the rapid growth of social multimedia data available over the Internet. The age of huge amount of media collection provides users facilities to share and access data, while it also demands the revolution of data management techniques, since the exponential growth of social multimedia requires more scalable, effective and robust technologies to manage and index them. The event is one of the most important cues to recall people’s past memory. The reminder value of an event makes it extremely helpful in organizing data. The study of event based analysis on social multimedia data has drawn intensive attention in research community. In this article, we provide a comprehensive survey on event based analysis over social multimedia data, including event enrichment, detection, and categorization. We introduce each paradigm and summarize related research efforts. In addition, we also suggest the emerging trends in this research area.
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title_short	Event analysis in social multimedia: a survey
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up_date	2024-07-04T01:06:31.183Z
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