IEEE Access Special Section Editorial: Intelligent Sensing On Mobile and Social Media Analytics

The proliferation of mobile devices has led to an increasingly interconnected era, and a recent trend is the migration of multimedia search and analysis from the desktop to the cloud. This is, perhaps, partly due to the ease of capturing images and videos on a mobile device and associating them with...
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Autor*in:	Weiyao Lin [verfasserIn] Zheng Xu [verfasserIn] Yunhuai Liu [verfasserIn] Neil Y. Yen [verfasserIn] Kim-Kwang Raymond Choo [verfasserIn] Vijayan Sugumaran [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 5(2017), Seite 27841-27844
Übergeordnetes Werk:	volume:5 ; year:2017 ; pages:27841-27844

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2017.2783138

Katalog-ID:	DOAJ050244922

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callnumber-first	T - Technology
author	Weiyao Lin
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topic_title	TK1-9971 IEEE Access Special Section Editorial: Intelligent Sensing On Mobile and Social Media Analytics
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title	IEEE Access Special Section Editorial: Intelligent Sensing On Mobile and Social Media Analytics
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title_auth	IEEE Access Special Section Editorial: Intelligent Sensing On Mobile and Social Media Analytics
abstract	The proliferation of mobile devices has led to an increasingly interconnected era, and a recent trend is the migration of multimedia search and analysis from the desktop to the cloud. This is, perhaps, partly due to the ease of capturing images and videos on a mobile device and associating them with social and contextual metadata such as comments and GPS tags. Such a hybrid data structure can benefit a wide variety of potential (mobile) multimedia applications, such as location recognition, landmark search, augmented reality, and commercial recommendations. One intrinsic potential solution is to explore large-scale social multimedia to assist and facilitate location related applications on the go and in real-time. With the combination of social and mobile cues, several problems that are previously difficult to be tackled in multimedia content analysis have also become more tractable. Current research in Intelligent Sensing is addressing the following:
abstractGer	The proliferation of mobile devices has led to an increasingly interconnected era, and a recent trend is the migration of multimedia search and analysis from the desktop to the cloud. This is, perhaps, partly due to the ease of capturing images and videos on a mobile device and associating them with social and contextual metadata such as comments and GPS tags. Such a hybrid data structure can benefit a wide variety of potential (mobile) multimedia applications, such as location recognition, landmark search, augmented reality, and commercial recommendations. One intrinsic potential solution is to explore large-scale social multimedia to assist and facilitate location related applications on the go and in real-time. With the combination of social and mobile cues, several problems that are previously difficult to be tackled in multimedia content analysis have also become more tractable. Current research in Intelligent Sensing is addressing the following:
abstract_unstemmed	The proliferation of mobile devices has led to an increasingly interconnected era, and a recent trend is the migration of multimedia search and analysis from the desktop to the cloud. This is, perhaps, partly due to the ease of capturing images and videos on a mobile device and associating them with social and contextual metadata such as comments and GPS tags. Such a hybrid data structure can benefit a wide variety of potential (mobile) multimedia applications, such as location recognition, landmark search, augmented reality, and commercial recommendations. One intrinsic potential solution is to explore large-scale social multimedia to assist and facilitate location related applications on the go and in real-time. With the combination of social and mobile cues, several problems that are previously difficult to be tackled in multimedia content analysis have also become more tractable. Current research in Intelligent Sensing is addressing the following:
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title_short	IEEE Access Special Section Editorial: Intelligent Sensing On Mobile and Social Media Analytics
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