Multimed Tools Appl https://doi.org/10.1007/s11042-018-6151-x A scene image classification technique for a ubiquitous visual surveillance system Maryam Asadzadeh Kaljahi & Shivakumara Palaiahnakote & 2 1 Mohammad Hossein Anisi & Mohd Yamani Idna Idris & 3 4 Michael Blumenstein & Muhammad Khurram Khan Received: 18 September 2017 /Revised: 10 May 2018 /Accepted: 16 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract The concept of smart cities has quickly evolved to improve the quality of life and provide public safety. Smart cities mitigate harmful environmental impacts and offences and bring energy-efficiency, cost saving and mechanisms for better use of resources based on ubiquitous monitoring systems. However, existing visual ubiquitous monitoring systems have only been developed for a specific purpose. As a result, they cannot be used for different scenarios. To overcome this challenge, this paper presents a new ubiquitous visual surveillance mechanism based on classification of scene images. The proposed mechanism supports * Mohammad Hossein Anisi firstname.lastname@example.org * Mohd Yamani Idna Idris email@example.com Maryam Asadzadeh Kaljahi firstname.lastname@example.org Shivakumara Palaiahnakote email@example.com Michael Blumenstein firstname.lastname@example.org Muhammad Khurram Khan email@example.com Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia School of Computer Science and Electronic Engineering, University
Multimedia Tools and Applications – Springer Journals
Published: May 30, 2018
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