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 email@example.com * Mohd Yamani Idna Idris firstname.lastname@example.org Maryam Asadzadeh Kaljahi email@example.com Shivakumara Palaiahnakote firstname.lastname@example.org Michael Blumenstein email@example.com Muhammad Khurram Khan firstname.lastname@example.org 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
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera