Mobile Content Based Image Retrieval Architectures

Rahman, Arif and Winarko, Edi and Wibowo, Moh. Edi (2017) Mobile Content Based Image Retrieval Architectures. [Artikel Dosen]

Text 08239111.pdf Download (266kB)

Abstract

Mobile device features such as camera and other
sensors are evolving rapidly nowadays. Supported by a reliable
communications network, it raises new methods in information
retrieval. Mobile devices can capture an image with its camera
and pass it to the retrieval systems to get the information needed.
This system, called Mobile Content-Based Image Retrieval
(MCBIR), generally consists of two parts: Offline Database
Construction, which create image features database and indexing
structure, and Online Image Search, that search images in the
database that similar to the user inputs. MCBIR system, based
on its computational load and resource needs, can be categorized
into three architectural models: client-side, client-server and
distributed. These three models were analyzed in three aspects:
scalability, latency, and resources. The results show that each
architecture has its own characteristics in terms of these aspects
and should be considered in the architecture selection phase for
MCBIR development.

Item Type:	Artikel Dosen
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisi / Prodi:	Faculty of Applied Science and Technology (Fakultas Sains Dan Teknologi Terapan) > S1-Information System (S1-Sistem Informasi)
Depositing User:	Arif Rahman
Date Deposited:	06 Nov 2018 22:17
Last Modified:	06 Nov 2018 22:17
URI:	http://eprints.uad.ac.id/id/eprint/11600

Actions (login required)

View Item