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Mobile Applications for Automatic Object Recognition
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Author(s): Danilo Avola (University of Udine, Italy), Gian Luca Foresti (Department of Mathematics and Computer Science, University of Udine, Italy), Claudio Piciarelli (University of Udine, Italy), Marco Vernier (University of Udine, Italy)and Luigi Cinque (Sapienza University, Italy)
Copyright: 2019
Pages: 13
Source title:
Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7598-6.ch073
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Abstract
In recent years, the technological improvements of mobile devices in terms of computational capacity, embedded sensors, natural interaction, and high-speed connection are enabling an ever-increasing number of designers to develop advanced mobile applications to be used in everyday life. Among these, the vision-based applications for the automatic object recognition (AOR) play a key role since enabling users to interact with the world around them in innovative way makes more productive and profitable their entertainment, learning, and working activities. The chapter is divided into four sections. The first one, “Background,” explores the most recent works in AOR mobile applications highlighting the feature extraction processes and the implemented classifiers. The second one, “MV Development Technologies,” provides an overview of the current frameworks used to support the mobile AOR applications. The third one, “Future Research Trends,” discusses the aims of the next generation of AOR applications. Finally, “Conclusion” concludes the chapter.
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