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Multimedia Systems
Erschienen in: Multimedia Systems 6/2017

07.07.2016 | Special Issue Paper

A survey on context-aware mobile visual recognition

verfasst von: Weiqing Min, Shuqiang Jiang, Shuhui Wang, Ruihan Xu, Yushan Cao, Luis Herranz, Zhiqiang He

Erschienen in: Multimedia Systems | Ausgabe 6/2017

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Abstract

The phenomenal growth of the usage of mobile devices (e.g., mobile phones and tablet PCs) opens up a new service, namely mobile visual recognition, which has been widely used in many areas, such as mobile shopping and augmented reality. The rich contextual information (e.g., location, time and direction information), easily acquired by the mobile devices, provides useful clues to facilitate mobile visual recognition, including speeding up the recognition time and improving the recognition performance. This survey focuses on recent advances in Context-Aware Mobile Visual Recognition (CAMVR) and reviews related work regarding to different contextual information, recognition methods, recognition types, and various application scenarios. Finally, we discuss future research directions in this field.
Vorheriger Artikel Guest editorial: mobile visual tagging with mobile context
Nächster Artikel Automatic group activity annotation for mobile videos

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Metadaten
Titel
A survey on context-aware mobile visual recognition
verfasst von
Weiqing Min
Shuqiang Jiang
Shuhui Wang
Ruihan Xu
Yushan Cao
Luis Herranz
Zhiqiang He
Publikationsdatum
07.07.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Multimedia Systems / Ausgabe 6/2017
Print ISSN: 0942-4962
Elektronische ISSN: 1432-1882
DOI
https://doi.org/10.1007/s00530-016-0523-8

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