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- W2401478216 abstract "Advanced services in data compression, data storage, and data transmission have been developed and are widely used to address the required capabilities of an assortment of systems across diverse application domains. In order to reuse, integrate, unify, manage, and support heterogeneous resources, a number of works and concepts have emerged as a means to facilitate aggregation of content and to help system developers. In particular, images, along with existing Content-Based Image Retrieval services, have the potential to play a key role in information systems, due to the large availability of images and the need to integrate them with existing collections, metadata, and available image manipulation softwares and applications. In this work, we explore a data fusion approach for solving data value conflicts in the context of image retrieval domain. The main novelty resides in automatically solving conflicts without user intervention. The proposed solution is based on the use of rules, which are defined in previous integration processes. Our approach reduces the need for human intervention for keeping a clean and integrated view of an image repository when new data sources are added to an image management system." @default.
- W2401478216 created "2016-06-24" @default.
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- W2401478216 date "2014-01-01" @default.
- W2401478216 modified "2023-10-01" @default.
- W2401478216 title "Exploring Data Fusion under the Image Retrieval Domain" @default.
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- W2401478216 doi "https://doi.org/10.5220/0004869901710178" @default.
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