Semantic keyword-based retrieval of photos taken with mobile devices

Viana, Windson; Hammiche, Samira; Moisuc, Bogdan; Villanova-Oliver, Marlène; Gensel, Jérôme; Martin, Hervé

doi:10.1145/1497185.1497226

Cited by 4 publications

(2 citation statements)

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“…The semantic approach is also extended to mobile devices for picture retrieval, where pictures are annotated with contextual information and used to index each of them [47]. Similarly, the contextual ontology was introduced and successfully implemented in several research efforts for example, context ontology for mobile devices was developed from embedded mobile sensors [2] for using the resources efficiently, the FLAME2008 platform was successfully developed to support mobile users with personalized context-aware services [33], the context ontology was used in a prototype to supervise the health condition of elderly people in runtime [41].…”

Section: Related Workmentioning

confidence: 99%

Semantic File Annotation and Retrieval on Mobile Devices

Jan

Al-Sultany

et al. 2011

Mobile Information Systems

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The rapid development of mobile technologies has facilitated users to generate and store files on mobile devices such as mobile phones and PDAs. However, it has become a challenging issue for users to efficiently and effectively search for files of interest in a mobile environment involving a large number of mobile nodes. This paper presents SemFARM framework which facilitates users to publish, annotate and retrieve files which are geographically distributed in a mobile network enabled by Bluetooth. The SemFARM framework is built on semantic web technologies in support of file retrieval on low-end mobile devices. A generic ontology is developed which defines a number of keywords, their possible domains and properties. Based on semantic reasoning, similarity degrees are computed to match user queries with published file descriptions. The SemFARM prototype is implemented using the Java mobile platform (J2ME). The performance of SemFARM is evaluated from a number of aspects in comparison with traditional mobile file systems and enhanced alternatives. Experimental results are encouraging showing the effectiveness of SemFARM in file retrieval. We can conclude that the use of semantic web technologies have facilitated file retrieval in mobile computing environments maximizing user satisfaction in searching for files of interest.

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Section: Related Workmentioning

confidence: 99%

Semantic File Annotation and Retrieval on Mobile Devices

Jan

Al-Sultany

et al. 2011

Mobile Information Systems

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“…Our work is somewhat relevant to context-based multimedia retrieval (see e.g. [3]). In this type of retrieval, multimedia data is retrieved based on the context such as time and location in which they are created.…”

Section: VIImentioning

confidence: 99%

A Tactical Information Management Middleware for Resource-Constrained Mobile P2P Networks

Linderman

Madria

et al. 2010

2010 29th IEEE Symposium on Reliable Distributed Systems

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Abstract-In this paper we provide an architecture for Tactical Information Middleware for bandwidth constrained information management. We propose the ideas of rank-based data dissemination, and the use of a tactical information management query language. These ideas will deal with dynamic changes in bandwidth and explore opportunistic data dissemination. Thus, will lead to a cross layer design of a system capable of handling the dynamic data management issues relevant in many mission critical applications. 1I. INTRODUCTION Air force tactical missions such as collaborative reconnaissance involve Unmanned Air Vehicles (UAVs), ground stations, and dismounted users. Such missions often run applications which disseminate video/imagery, requiring stringent levels of quality of service (QoS). Furthermore, this tactical level QoS for information management needs to be achieved under environmental and operational constraints such as intermittent network connectivity, low bandwidth, limited CPU and battery power. Tactical Information Management (TIM) is the capability of providing QoS in a dynamic topology under bandwidth constraints. Similar conditions will exist in future mobile P2P environments that involve vehicles, mobile devices such as cellular phones carried by pedestrians, and stationary computers.We propose to address the TIM needs by building a Tactical Information Middleware (TIMW) that uses a declarative language like SQL, specifically designed for intermittent and low/dynamic connectivity environments. The TIMW will receive queries from the application layer, and it will collaborate with the Radio-Communication Layer to process them in a mobile, distributed fashion.Current technology such as OMG Data Distribution Service (DDS), used in many DoD applications, promises to deliver the QoS assurances but is limited in its capability to address the resource limitations of tactical missions. The proposed ideas will enhance the current functionality of systems such as AIMS [15].The rest of the paper is organized as follows. In section II we introduce the environment. In section III we describe the architecture of the TIMW. In sections IV to VI we discuss each individual component of TIMW respectively.

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