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A study of Impact of Integration Structural Context in Multimedia Retrieval: Application on Image Media
2015
Research in Computing Science
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The results show that integration of structural context significantly improves compared results of using a single textual context. ...
We propose a geometric method who use implicitly of textual and structural context of XML elements and we are particularly interested by improve the effectiveness of various structural factors for multimedia ...
and 0.2276 for "ImageCLEF 2014" collection) and
Minkowski distance (0.2876 for "INEX 2007" collection, 0.2245 for "ImageCLEF
2010" collection and 0.3267 for "ImageCLEF 2014" collection). ...
doi:10.13053/rcs-90-1-25
fatcat:qy6jkif3rbgq3cf7v5lvqyqvzi
SINAI at ImageCLEF Wikipedia Retrieval Task 2011: Testing Combined Systems
2011
Conference and Labs of the Evaluation Forum
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Several researches demonstrate that the use and integration of various knowledge sources improves the quality and efficiency of information systems. ...
Using only the English text associated with each image or its translation from French or German, our system applies several combinations of the textual tags and the combination of information retrieval ...
-The combination of both IR systems with caption and description tags improves a bit the textual result. ...
dblp:conf/clef/CumbrerasDLB11
fatcat:bwud2dycivfifdyw5h4y7molgy
SINAI at ImageCLEF 2009 WikipediaMM Task
2009
Conference and Labs of the Evaluation Forum
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We have used the LEMUR toolkit as the Information Retrieval system in our experiments. ...
Thus, we have generated a new collection expanding with WordNet terms in order to perform the information included in this collection. In addition, we have expanded de queries with WordNet too. ...
For example, the integration of knowledge through the use of ontologies has been very successful in many systems. ...
dblp:conf/clef/Diaz-GalianoMLP09a
fatcat:rhly32pznjdmfcwmtms2z2bqzu
Improved medical image modality classification using a combination of visual and textual features
2015
Computerized Medical Imaging and Graphics
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Improved medical image modality classification using a combination of visual and textual features. ...
More specifically, we used the modality classification databases from the ImageCLEF competitions in 2011, 2012 and 2013, described by four visual and one textual types of features, and combinations thereof ...
For the textual information, we used the text surrounding the image and its bag-of-words representation. ...
doi:10.1016/j.compmedimag.2014.06.005
pmid:24997992
fatcat:g76syoiwe5fbvnmjxvmnryluvy
Medical Image Retrieval: A Multimodal Approach
2014
Cancer Informatics
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Specifically, we first investigate a new extended probabilistic Latent Semantic Analysis model to integrate the visual and textual information from medical images to bridge the semantic gap. ...
We then develop a new deep Boltzmann machine-based multimodal learning model to learn the joint density model from multimodal information in order to derive the missing modality. ...
Acknowledgments The authors would like to thank Chyeeka Brown and Huijuan Xu for contributing on part of the system implementation.
Author contributions ...
doi:10.4137/cin.s14053
pmid:26309389
pmcid:PMC4533857
fatcat:axi6x7234ncwrowi3zs6j7dl7a
SINAI at ImageCLEF 2010 Medical Task
2010
Conference and Labs of the Evaluation Forum
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Recent researches demonstrate that the use and integration of several knowledge sources improves the quality and efficiency of information systems. ...
In this paper, we present the system developed for the ImageCLEF 2010 medical task. We show the effect of using the medical ontology MeSH to expand terms found in textual queries. ...
The efficient access to multimodal information is becoming more and more difficult every day. For this reason, it is necessary to develop search strategies for easier retrieval of useful information. ...
dblp:conf/clef/Diaz-GalianoMRC10
fatcat:wfemacngm5f6lme7gco3o26lqa
TELECOM ParisTech at ImageCLEF 2010 Photo Annotation Task: Combining Tags and Visual Features for Learning-Based Image Annotation
2010
Conference and Labs of the Evaluation Forum
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An image collection is supplied with tags which are used both for training and testing. ...
In this paper, we describe the participation of TELECOM ParisTech in the ImageCLEF 2010 Photo Annotation challenge. ...
The model uses the keywords shared by similar images to annotate new ones. In [22] , the similarity measure between images integrates contextual information for concept propagation. ...
dblp:conf/clef/SahbiL10
fatcat:whbokooqf5hdnf63zdjw2fkanq
Evaluation axes for medical image retrieval systems
2005
Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05
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Final goal with most impact will be the use as a diagnostic aid in a real-world clinical setting. ...
Other applications of image retrieval and image classification can be the automatic annotation of images with basic concepts or the control of DICOM header information. ...
This is a fairly realistic task that can be used to obtain knowledge about collections that have not been annotated at all. ...
doi:10.1145/1101149.1101358
dblp:conf/mm/MullerCHDLG05
fatcat:7vlmcfv7pbgezkan7it57uk5za
Improving Retrieval Using External Annotations: OHSU at ImageCLEF 2010
2010
Conference and Labs of the Evaluation Forum
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Over the past several years, our team has focused its efforts on improving retrieval precision performance by mixing visual and textual information. ...
This year, we chose to explore ways in which we could use external data to enrich our retrieval system's data set; specifically, we annotated each image in the test collection with a set of MeSH headings ...
Acknowledgements We acknowledge the National Library of Medicine grant 3T15LM007088 for supporting this work, as well as 1K99LM009889. ...
dblp:conf/clef/BedrickK10
fatcat:pu6jqzdsnvfulgzejyivkfuj64
Multimodal Photo Retrieval through Finding Similar Documents Enhanced with Visual Clues - a Baseline Method
2009
Conference and Labs of the Evaluation Forum
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In this paper we present a staring point of our research, connected to a joint Polish-Singaporean research project, titled: Framework for Visual Information Retrieval and Building Content-based Visual ...
First we extract textual features for each image in the collection and than we use similarity measure to compare pairs of images. ...
After initial processing of textual data, visual data is used to refine the results presented to user. There is a plethora of methods for textual information retrieval [10] . ...
dblp:conf/clef/BrodaPK09
fatcat:7lb4tw5zdbho5cx5xpw3enfa3e
IRIT at ImageCLEF 2010: Medical Retrieval Track
2010
Conference and Labs of the Evaluation Forum
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Our information retrieval approach integrates a hybrid method of concept extraction for enhancing the semantics of the document as well as of the query. ...
The experiments carried out on the Image-CLEF 2010 show that our information retrieval approach based on the proposed method of concept extraction show an improvement of 7.07% in terms of MAP (for the ...
, using visual features and/or textual features. ...
dblp:conf/clef/DinhT10
fatcat:gmal3x6fqjfnnkbod2y2tr3oxy
Overview of the CLEF 2009 Medical Image Retrieval Track
[chapter]
2010
Lecture Notes in Computer Science
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2009 was the sixth year for the ImageCLEF medical retrieval task. ...
An article's PMID could be used to obtain the officially assigned MeSH (Medical Subject Headings) terms. The collection was entirely in English. ...
We would like to thank the RSNA for supplying the images of their journals Radiology and Radiographics for the ImageCLEF campaign. ...
doi:10.1007/978-3-642-15751-6_8
fatcat:abrmk3557nbbdhams4trskydl4
Multimodal Image Retrieval over a Large Database
[chapter]
2010
Lecture Notes in Computer Science
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Textual queries are reformulated using Wikipedia knowledge and results are then reordered using a k-NN based reranking method. ...
We compare textual and multimodal retrieval and show that introducing visual reranking results in a significant improvement of performance. ...
We thank the DGCIS for funding us through the regional business cluster Systematic (project POPS) and Cap Digital (project Mediatic and Romeo), and the french National Agency for Research (ANR) project ...
doi:10.1007/978-3-642-15751-6_20
fatcat:4aowzdwztrbaphhrbgudfyyksy
CNRS - TELECOM ParisTech at ImageCLEF 2013 Scalable Concept Image Annotation Task: Winning Annotations with Context Dependent SVMs
2013
Conference and Labs of the Evaluation Forum
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This edition promotes the use of many contextual cues attached to visual contents. Image collections are supplied with visual features as well as tags taken from different sources (web pages, etc.). ...
In this paper, we describe the participation of CNRS TELE-COM ParisTech in the ImageCLEF 2013 Scalable Concept Image Annotation challenge. ...
); the novel part of this work aims to integrate context (from the ImageCLEF 2013 collection), in kernel design for classification and annotation, and plug these kernels in support vector machines in order ...
dblp:conf/clef/Sahbi13
fatcat:3rknf45zwbbe5dsnbwsmpcgo4q
The MedGIFT Project: Global Perspectives of a Medical Doctor
2007
Medical Imaging Technology
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To address this demand, content-based image retrieval (CBIR) has been proposed for a long time with many systems being built to meet several application demands. ...
Acknowledgement This work was partially supported by the Swiss National Science Foundation (FNS) with grant 205321-109, by the Swiss confederation through a scholarship for Dr. ...
Whereas for textual IR and natural language processing much research has already improved the understanding and shortcomings, visual medical information retrieval is still in its infancy and needs more ...
doi:10.11409/mit.25.356
fatcat:jk7zzyejpzgrjj36pgkr2obs3y
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