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retrieval scheme based on annotation keywords and visual content, which can benefit from the strength of text- and content-based retrieval. The system starts query triggered by some keywords, and further refines the retrieval result based on blobs and regions information. The first step is to complete semantic filtering with
and completeness through sense disambiguation and contextual meta-data prepossessing. Our schemes exploits a linguistic ontology identifying query relevant homographs used to construct sense specific keyword sets allowing for enhanced image search and result ranking via the calculation of relatedness between query
This paper discusses a proposed mixed query image and text retrieval database, combining text-based search technology and image content-based search technology for more accurate results. The target application will be aimed at large, categorized image sets, such as large image collections of libraries or patent offices. It can be shown that this mixed query image search engine, can achieve better...
In this paper we describe a system for storing and retrieving digital images from personal collections. The images can either be manually annotated with a set of keywords chosen by the owner of the collection, or keywords can be automatically inferred from the time and location stamps associated with the image and the
associated with intermediate semantic descriptors. The intermediate descriptors are used also for image categorization and for qualitative definition of semantic keywords in the user queries. For improving the initial query results, we apply a relevance feedback mechanism that uses the low -level descriptors of the images
The emergence of cloud datacenters enhances the capability of online data storage. Since massive data is stored in datacenters, it is necessary to effectively locate interest data in such a distributed system. However, traditional search techniques only allow users to search images over exact-match keywords through a
This paper proposes a new document retrieval (DR) and plagiarism detection (PD) system using multilayer self-organizing map (MLSOM). A document is modeled by a rich tree-structured representation, and a SOM-based system is used as a computationally effective solution. Instead of relying on keywords/lines, the proposed
Notice of Violation of IEEE Publication Principles"Enhanced P2P Services Providing Multimedia Content,"by E. Ardizzone, L. Gatani, M. La Cascia, G. Lo Re, M. Ortolani,in the Proceedings of the Eighth IEEE International Symposium on Multimedia, 2006. ISM 2006. pp.637-646, Dec. 2006After careful and considered review of the content and authorship of this paper by a duly constituted expert...
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