Pregled bibliografske jedinice broj: 161819
Cognitive Processing of Multimodal Images in Large Databases Environments with Fast Access A Multi-modal Object Management Design Patten (MOMDP) PART II - 'The XML Based Framework'
Cognitive Processing of Multimodal Images in Large Databases Environments with Fast Access A Multi-modal Object Management Design Patten (MOMDP) PART II - 'The XML Based Framework' // IPLnet / IPLnet (ur.).
Murten: IPLnet, 2004. (plenarno, međunarodna recenzija, cjeloviti rad (in extenso), stručni)
CROSBI ID: 161819 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Cognitive Processing of Multimodal Images in Large Databases Environments with Fast Access A Multi-modal Object Management Design Patten (MOMDP) PART II - 'The XML Based Framework'
Autori
Trad, Antoine
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni
Izvornik
IPLnet
/ IPLnet - Murten : IPLnet, 2004
Skup
IPLnet 2004
Mjesto i datum
Murten, Švicarska, 07.09.2004. - 08.09.2004
Vrsta sudjelovanja
Plenarno
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Multi-modal; XML; Framework; ImageXML; MOMDP; MODS; Mapping; Database; Performance; Availability; Fast-access and Load-Balancing
Sažetak
This paper presents a detailed proposal of an architectural pattern for modelling complex and voluminous 'Multi-modal Object Data Sets' (MODS), focusing on the specific case of multimodal 'Extensible Mark-up Language' (XML) formatted images with associated user-defined criterias (known also as primary features) and keys. This is 'PART' II of a set of two articles [1] that will expose the XML based framework, and is a supplement for part I of same set of articles. The model criterias understand the raw image, color, thickness, elasticity and density [1]. Learning the relations of image regions and quality criterias, that can be modelled through a Case Tool such as an UML CT. This tool includes the modelling of fast-access objects in multimedia Relational Data Base Management System (RDBMS) environments during the storage and modification operations, B2B handling and nesting processes. We analyze in depth the complex problem of measuring performance for the previously defined processes. The XML 'Skin Model' (SM) is assessed using a large collection of annotated images of the captured skin. For the annotation task, we look at predicting performance on the manipulated images, where these images are presented as stateless objects in XML format, and they are also known as the 'ImageXML format'. This data format coupled with a loose architecture breaks-up the client and server sides of an application into independent components that can interact together and roam across networks, with a unique and flexible interface definition.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
