Showing 1-25 of 46,875 resultsfor "Index Terms":Information retrieval
"Index Terms":Information retrieval
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How to complete performance graphs in content-based image retrieval: add generality and normalize scope
The performance of a content-based image retrieval (CBIR) system, presented in the form of precision-recall or precision-scope graphs, offers an incomplete overview of the system under study: the influence of the irrelevant items (embedding) is obscured. We propose a comprehensive and well-normalized description of the ranking performance compared to the performance of an ideal retrieval system de...Show More
Study on the Performance Measure of Information Retrieval Models
2009 International Symposium on Intelligent Ubiquitous Computing and Education
Year: 2009 | Conference Paper |
Cited by: Papers (3)
Different information retrieval models produce different retrieval results, and have different efficiencies. The paper firstly introduced the basic information retrieval process, and then listed three types of information retrieval models according to two dimensions and their relationships, and lastly gave out related calculation formulas for performance measure of information retrieval models.Show More
LocatingGPT: A multi-modal document retrieval method based on retrieval-augmented generation
Zilong Chen;Peng Zhang;Mingyang Xu;Xingjian Gao;Dan Liu;Xuebing Luo;Rencheng Huang;Tao Zhang
2024 IEEE 9th International Conference on Data Science in Cyberspace (DSC)
Year: 2024 | Conference Paper |
With the rapid development of information technology, document information retrieval systems are faced with challenges of data diversification and increasing complexity. Conventional document retrieval approaches show intrinsic limitations when addressing multi-modal data (such as text, images, and audio), cross-language queries, and complex queries, failing to meet the needs of modern information...Show More
Unstructured information organization based on ontology
2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT)
Year: 2010 | Conference Paper |
This paper proposes the method to develop domain ontology's DB, based on the ontology's DB, utilizes ontology's to annotate unstructured information and translate unstructured information into structured information, so that facilitates the retrieval of unstructured information. The experiment results show that rule-based retrieval has better recall and shorter retrieval time than fact-based retri...Show More
Case Retrieval in Medical Databases by Fusing Heterogeneous Information
Gwénolé Quellec;Mathieu Lamard;Guy Cazuguel;Christian Roux;Béatrice Cochener
A novel content-based heterogeneous information retrieval framework, particularly well suited to browse medical databases and support new generation computer aided diagnosis (CADx) systems, is presented in this paper. It was designed to retrieve possibly incomplete documents, consisting of several images and semantic information, from a database; more complex data types such as videos can also be ...Show More
M3L: Architecture for Multimedia Information Retrieval
2009 Sixth International Conference on Information Technology: New Generations
Year: 2009 | Conference Paper |
Cited by: Papers (5)
Multimedia information retrieval systems operate on multimedia information. Multimedia information exists in text, audio, image and video forms. Existing multimedia information retrieval systems do not satisfy multimedia information needs. Information needs are only satisfied when information is searched within all information modalities of a multimedia based document and within a user specified s...Show More
An Information Retrieval Model for the Semantic Web
Fabio Augusto de Santana Silva;Maria del Rosario Girardi;Lucas Rego Drumond
2009 Sixth International Conference on Information Technology: New Generations
Year: 2009 | Conference Paper |
Cited by: Papers (1)
Exploring the metadata associated with documents in the Semantic Web is a way to increase the precision of information retrieval systems. Systems have been established so far failed to overcome fully the limitations of search based on keywords. Such systems are built from variations of classic models that represent information by keywords and work upon statistical correlations. This work proposes ...Show More
As unstructured information becomes richer and more complex, alternative information organization methods are needed to more effectively and efficiently retrieve information from various systems, including the Web. The semantic supporting of unstructured information management system is in favor of distributed resources integration and manipulation. Unstructured information organization and inform...Show More
A medical digital library to support scenario and user-tailored information retrieval
Current large-scale information sources are designed to support general queries and lack the ability to support scenario-specific information navigation, gathering and presentation. As a result, users are often unable to obtain desired specific information within a well-defined subject area. Today's information systems do not provide efficient content navigation, incremental appropriate matching o...Show More
Most information seeking and retrieval systems are designed for individual use, and prototype collaborative systems are too limited to support use in heterogeneous environments. Easy Access to Digital Libraries (ezDL) attempts to bridge this gap by integrating familiar information sharing and management functions with communication tools into a flexible, scalable network in which individuals and g...Show More
Medical Image Categorization and Retrieval for PACS Using the GMM-KL Framework
This paper presents an image representation and matching framework for image categorization in medical image archives. Categorization enables one to determine automatically, based on the image content, the examined body region and imaging modality. It is a basic step in content-based image retrieval (CBIR) systems, the goal of which is to augment text-based search with visual information analysis....Show More
Annotating Images by Mining Image Search Results
In this paper, we propose a novel attempt of model-free image annotation which annotates images by mining their search results. It contains three steps: 1) the search process to discover visually and semantically similar search results; 2) the mining process to identify salient terms from textual descriptions of the search results; and 3) the annotation rejection process to filter out noisy terms ...Show More
Study on Information Retrieval Model Based on Rough Set Theory
2009 International Symposium on Intelligent Ubiquitous Computing and Education
Year: 2009 | Conference Paper |
Cited by: Papers (1)
Information retrieval is the science of searching for documents, for information within documents and for metadata about documents, as well as that of searching relational databases and the World Wide Web. Rough set theory is a new data analysis method which can deal with ambiguous and uncertain problems. The data processing technologies which base on rough set theory are being applied in more and...Show More
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
Gustavo Carneiro;Antoni B. Chan;Pedro J. Moreno;Nuno Vasconcelos
A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as the group of database images labeled with a common semantic label. It is shown that, by establishing this one-to-one correspondence between semantic labels and semantic classes, a minimum probability of error annotation an...Show More
Exploitation of ontological resources for scientific literature analysis: Searching genes and related diseases
Antonio Jimeno-Yepes;Rafael Berlanga-Llavori;Dietrich Rebholz-Schuhmann
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2009 | Conference Paper |
Ontological resources such as controlled vocabularies, taxonomies and ontologies from the OBO foundry are used to represent biomedical domain knowledge. The development of such resources is a time consuming task. Once they are finished they contribute to standardization of information representation, interoperability of IT solutions, literature analysis and knowledge discovery. Text mining compris...Show More
Medical Case Retrieval From a Committee of Decision Trees
Gwénolé Quellec;Mathieu Lamard;Lynda Bekri;Guy Cazuguel;Christian Roux;Béatrice Cochener
A novel content-based information retrieval framework, designed to cover several medical applications, is presented in this paper. The presented framework allows the retrieval of possibly incomplete medical cases consisting of several images together with semantic information. It relies on a committee of decision trees, decision support tools well suited to process this type of information. In our...Show More
This paper will first briefly survey the existing impact of multimedia information retrieval (MIR) in applications. It will then analyze the current trends of MIR research which can have an influence on future applications. It will then detail the future possibilities and bottlenecks in applying the MIR research results in the main target application areas, such as the consumer (e.g., personal vid...Show More
Research on the Semantics Based Cross-Media Information Retrieval
2009 WRI World Congress on Computer Science and Information Engineering
Year: 2009 | Conference Paper |
Nowadays, the multimedia retrieval technology is moving forward from single media retrieval based on similarity of content feature to multimedia integrated retrieval based on semantic correlation which can be used for cross-media retrieval. In this paper, the architecture of cross-media retrieval is studied. Based on the analysis of semantic information among various media objects with different m...Show More
Improving Performance of Medical Images Retrieval by Combining Textual and Visual Information
M. C. Díaz-Galiano;M. T. Martín-Valdivia;A. Montejo-Ráez;L. A. Ureña-López
2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI)
Year: 2007 | Conference Paper |
Cited by: Papers (2)
This paper studies the combination of textual and visual information in a database of medical records in order to improve the performance of the multi-modal information retrieval system. The proposed model consists of two subsystems: a Content-Based Information Retrieval subsystem that performs the image retrieval and a textual Information Retrieval subsystem that performs the textual retrieval. T...Show More
Information management system of student status archives based on SSM framework
2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
Year: 2022 | Conference Paper |
In order to improve the retrieval efficiency and accuracy of the student status file management system, this paper designs a student status file information retrieval system based on SSM framework. Based on the spring structure, the overall structure and frame of the management system are designed. The hardware system mainly includes information input module, information management module and info...Show More
Enhancing Vector based Retrieval Augmented Generation with Contextual Knowledge Graph Construction
2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI)
Year: 2024 | Conference Paper |
The proliferation of unstructured text data necessitates efficient information retrieval systems. Traditional vector-based Retrieval Augmented Generation (RAG) models often fail to capture complex relationships and contextual nuances, limiting effectiveness in knowledge-intensive tasks. We introduce Contextual Knowledge Graph Construction (CKGC), a novel approach enhancing vector-based RAG by dyna...Show More
Research on Domain Ontology Based Information Retrieval Model
2009 International Symposium on Intelligent Ubiquitous Computing and Education
Year: 2009 | Conference Paper |
This paper gives out an information retrieval system model based on ontology. First of all, the weak point and its reason are analyzed for traditional information retrieval system,. Then, the concept of Ontology and its application in intelligent retrieval domain is introduced. Afterwards, a information retrieval system structure model, based on domain ontology, was proposed, in which it was intro...Show More
e - Document retrieval using rough-set theory
2011 International Conference on Image Information Processing
Year: 2011 | Conference Paper |
Cited by: Papers (1)
With the growing use of networked solutions and services in the Information Society, many citizen-oriented services are planned not only in utility or e-governance sectors, but also in other information-centric human applications. Conventional DBMS may have either two-tier or three-tier client/server architecture [19]. These are already being used on the Internet. Web Applications provide Network ...Show More
Unified concept-based multimedia information retrieval technique
2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
The explosion of digital data in the last two decades followed by the development of various types of data, including text, images, audio and video known as multimedia data. Multimedia Information Retrieval is required to search various type of media. There is comprehensive information need that can not be handled by the monolithic search engine like Google, Google Image, Youtube, or FindSounds. T...Show More
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