Search results for "Human–computer information retrieval"
showing 8 items of 8 documents
Studying Utility of Personal Usage-History: A Software Tool for Enabling Empirical Research
2007
Managing personal information space and working context is complicated in computerized environment. One well-known cause for the problem is that digital information is superficially fragmented into different data types and structures. Several unifying approaches have been proposed to facilitate semantic connections between them. Particularly in personal information retrieval, temporal information has turned to be useful. Hence, in this article, we present an empirical research setting for studying the utility of representing personal usage-history in information retrieval by comparing it with more traditional hierarchical representation. The research setting is based on a software Tool that…
ExtMiner : Combining multiple ranking and clustering algorithms for structured document retrieval
2006
This paper introduces ExtMiner, a platform and potential tool for information management in SMEs (small & medium-size enterprise), or for organizational workgroups. ExtMiner supports interactive and iterative clustering of documents. It provides users with a visual cluster and list views at the same time, supporting iterative search process. ExtMiner may also be applied as a platform for research on retrieval fusion, since it combines search, clustering and visualization algorithms. ExtMiner was evaluated with three document collections. Although the findings were encouraging the user interface and performance with large document repositories need further development. peerReviewed
<title>Combining multiple image descriptions for browsing and retrieval</title>
2000
Retrieving images form large collections using image content is an important problem, in this multimedia age. A quick content-based visual access to the stored image is capital for efficient navigation through image collections. In this paper we introduce several techniques which characterize color homogeneous object and their spatial relationships for efficient content-based image retrieval. We present a region growing technique for efficient color homogeneous objects segmentation and extend the 2D string to an accurate description of spatial information and relationships. In order to improve content-based image retrieval, our method emphasized several objectives, such as: automated extrac…
Multimedia Retrieval by Means of Merge of Results from Textual and Content Based Retrieval Subsystems
2010
The main goal of this paper it is to present our experiments in ImageCLEF 2009 Campaign (photo retrieval task). In 2008 we proved empirically that the Text-based Image Retrieval (TBIR) methods defeats the Content-based Image Retrieval CBIR "quality" of results, so this time we developed several experiments in which the CBIR helps the TBIR. The TBIR System [6] main improvement is the named-entity sub-module. In case of the CBIR system [3] the number of low-level features has been increased from the 68 component used at ImageCLEF 2008 up to 114 components, and only the Mahalanobis distance has been used. We propose an ad-hoc management of the topics delivered, and the generation of XML struct…
Some Results Using Different Approaches to Merge Visual and Text-Based Features in CLEF’08 Photo Collection
2009
This paper describes the participation of the MIRACLE team at the ImageCLEF Photographic Retrieval task of CLEF 2008. We succeeded in submitting 41 runs. Obtained results from text-based retrieval are better than content-based as previous experiments in the MIRACLE team campaigns [5, 6] using different software. Our main aim was to experiment with several merging approaches to fuse text-based retrieval and content-based retrieval results, and it happened that we improve the text-based baseline when applying one of the three merging algorithms, although visual results are lower than textual ones.
A Method for Designing Tools for Information Retrieval from Documents
1987
The paper describes an experimental document database language. It consists of document database extensions to Prolog. An extended Prolog is suitable for specifying, prototyping, and in some cases also for implementing information retrieval tools.
Multimedia Retrieval in a Medical Image Collection: Results Using Modality Classes
2013
The effective communication between user and systems is one main aim in the Multimedia Information Retrieval field. In this paper the modality classification of images is used to expand the user queries within the ImageCLEF Medical Retrieval collection provided by organizers. Our main contribution is to show how and when results can be improved by understanding modality-related challenges. To do so, a detailed analysis of the results of the experiments carried out is presented and the comparison between these results shows that the improvement using modality class query expansion is query-dependent.
Visual Re-Ranking for Multi-Aspect Information Retrieval
2017
We present visual re-ranking, an interactive visualization technique for multi-aspect information retrieval. In multi-aspect search, the information need of the user consists of more than one aspect or query simultaneously. While visualization and interactive search user interface techniques for improving user interpretation of search results have been proposed, the current research lacks understanding on how useful these are for the user: whether they lead to quantifiable benefits in perceiving the result space and allow faster, and more precise retrieval. Our technique visualizes relevance and document density on a two-dimensional map with respect to the query phrases. Pointing to a locat…