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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics
Moh. Edi Wibowo
Universitas Gadjah Mada
Computer Science & IT Electrical & Electronics Engineering

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Mobile Content Based Image Retrieval Architectures Arif Rahman; Edi Winarko; Moh. Edi Wibowo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (276.687 KB) | DOI: 10.11591/eecsi.v4.1025

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.
Co-Authors Arif Rahman Winarko, Edi