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Combining Image and Structured Text Retrieval [chapter]

D. N. F. Awang Iskandar, Jovan Pehcevski, James A. Thom, S. M. M. Tahaghoghi
2006 Lecture Notes in Computer Science  
Two common approaches to retrieving images from a collection are retrieval by text keywords, and retrieval by visual content.  ...  In this paper we present our approach of combining evidence from a contentoriented XML retrieval system and a content-based image retrieval system using a linear evidence combination approach as part of  ...  We acknowledge Jonathan Yu for his assistance in proposing and assessing a multimedia topic.  ... 
doi:10.1007/978-3-540-34963-1_40 fatcat:rwhe2fyr7rctvf3w4jgatlbdh4

Combining Image and Structured Text Retrieval [chapter]

D. N. F. Awang Iskandar, Jovan Pehcevski, James A. Thom, S. M. M. Tahaghoghi
Lecture Notes in Computer Science  
Two common approaches to retrieving images from a collection are retrieval by text keywords, and retrieval by visual content.  ...  In this paper we present our approach of combining evidence from a contentoriented XML retrieval system and a content-based image retrieval system using a linear evidence combination approach as part of  ...  We acknowledge Jonathan Yu for his assistance in proposing and assessing a multimedia topic.  ... 
doi:10.1007/11766278_40 fatcat:vgfqy532dfbqrapijmzsx4qooy

Text- and Content-based Approaches to Image Modality Detection and Retrieval for the ImageCLEF 2010 Medical Retrieval Track

Matthew S. Simpson, Md. Mahmudur Rahman, Sachin Singhal, Dina Demner-Fushman, Sameer K. Antani, George R. Thoma
2010 Conference and Labs of the Evaluation Forum  
Our methods encompass a variety of techniques relating to document summarization and text-and content-based image retrieval.  ...  Our text-based approaches utilize the Unified Medical Language System (UMLS) synonymy to identify concepts in information requests and image-related text in order to retrieve semantically relevant images  ...  Text-Based Approach We use the NLM-developed Essie [6] search engine to index our collection of structured image documents and retrieve relevant images.  ... 
dblp:conf/clef/SimpsonRSDAT10 fatcat:oiwf64rd2fcifgp6jk4dd3wyl4

Combining Multimedia Retrieval and Text Retrieval to Search Structured Documents in Digital Libraries

Andreas Henrich, Günter Robbert
2000 DELOS Workshops / Conferences  
To this end, an efficient combination of automatic text retrieval, retrieval in meta data (usually created manually) and content based retrieval on multimedia data is needed.  ...  At present text may be dominant in many applications, however the relevance of other media types such as image, audio and video increases steadily.  ...  Therefore a QL for multimedia data should admit the use of text retrieval techniques and especially the combination of text retrieval techniques with retrieval techniques for other media types.  ... 
dblp:conf/delos/HenrichR00 fatcat:zecclpunnnh5las6wzxhw22muq

PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Based and Content-Based Image Retrieval

Zhi Zhou, Yonghong Tian, Yuanning Li, Ting Liu, Tiejun Huang, Wen Gao
2008 Conference and Labs of the Evaluation Forum  
Finally, we experimented with a cross-media image retrieval approach by combining and re-ranking text-based and content-based retrieval results.  ...  The aim of this task is to investigate effective retrieval approaches in the context of a large-scale and heterogeneous collection of Wikipedia images that are searched by textual queries (and/or sample  ...  Cross-media Re-ranking with Text and Visual Content For better retrieval performance, we study cross-media image retrieval by combining both text-based retrieval and CBIR methodologies.  ... 
dblp:conf/clef/ZhouTLLHG08 fatcat:qvoyliez4jb5zec5wq7qn5jchu

UESTC at ImageCLEF 2011 Medical Retrieval Task

Hong Wu, Chengbo Tian
2011 Conference and Labs of the Evaluation Forum  
We performed two subtasks, ad-hoc retrieval and case-based retrieval, and only used text information for retrieval.  ...  The phrase-based model was implemented based on Indri search engine and their structured query language.  ...  This research is partly supported by the National Science Foundation of China under grants 60873185 and the Open Project Program of the National Laboratory of Pattern Recognition (NLPR).  ... 
dblp:conf/clef/WuT11 fatcat:yjdsjb3xvbh6ngjs457vdmfslm

A multimedia interactive search engine based on graph-based and non-linear multimodal fusion

Anastasia Moumtzidou, Ilias Gialampoukidis, Theodoros Mironidis, Dimitris Liparas, Stefanos Vrochidis, Ioannis Kompatsiaris
2016 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI)  
Apart from multimedia search, the engine is able to perform text search and image retrieval independently using both high-level and lowlevel information.  ...  The images of the multimedia collection are organized by color, offering fast browsing in the image collection.  ...  ACKNOWLEDGMENTS This work was partially supported by the European Commission by the projects MULTISENSOR (FP7-610411), HOMER (FP7-312883) and KRISTINA (H2020-645012).  ... 
doi:10.1109/cbmi.2016.7500276 dblp:conf/cbmi/MoumtzidouGMLVK16 fatcat:zx3tgnl6dbcljaaezmakgmc72y

Text and Content-based Approaches to Image Modality Classification and Retrieval for the ImageCLEF 2011 Medical Retrieval Track

Matthew S. Simpson, Md. Mahmudur Rahman, Srinivas Phadnis, Emilia Apostolova, Dina Demner-Fushman, Sameer K. Antani, George R. Thoma
2011 Conference and Labs of the Evaluation Forum  
Our methods encompass a variety of techniques relating to text-and content-based image retrieval.  ...  In this article we present an overview of the application of our methods to the modality classification, ad-hoc image retrieval, and case-based image retrieval tasks, and we describe our submitted runs  ...  patterns in gray-level radiological images or differential color and texture structures in microscopic pathology images.  ... 
dblp:conf/clef/SimpsonRPADAT11 fatcat:rbkt5yjkijaofpbm2x6ihelale

Diversity in Image Retrieval: DCU at ImageCLEFPhoto 2008 [chapter]

Neil O'Hare, Peter Wilkins, Cathal Gurrin, Eamonn Newman, Gareth J. F. Jones, Alan F. Smeaton
2009 Lecture Notes in Computer Science  
Our results show that combining image and text outperforms text alone and image alone, both for general retrieval performance and for diversity.  ...  Our baseline image and text runs give our best overall balance between retrieval and diversity; indeed, our baseline text and image run was the 2nd best automatic run for ImageCLEF 2008 Photographic Retrieval  ...  In the following subsections we outline our approaches used for text retrieval, image retrieval and combined text and image retrieval.  ... 
doi:10.1007/978-3-642-04447-2_77 fatcat:eh25ld2fffhkfdlgzbi7i37vzu

Evaluating strategies and systems for content based indexing of person images on the Web

Yuksel Alp Aslandogan, Clement T. Yu
2000 Proceedings of the eighth ACM international conference on Multimedia - MULTIMEDIA '00  
Keywords Content based image retrieval, Dempster-Sha£er theory, evidence combination, web image retrieval, face detection and recognition.  ...  ) face detection followed by a linear combination of evidences due to text/HTML analysis and face recognition; and iv) face detection followed by a Dempster-Shafer combination of evidences due to text/  ...  Acknowledgments We would like to thank Matthew Turk (work done at MIT), Alex Pentland (MIT), T~keo Kanade (CMU) and Henry A. Rowley(CMU) for making sot~vare available for this project.  ... 
doi:10.1145/354384.354514 dblp:conf/mm/AslandoganY00 fatcat:4fwv24d625gp3lksndwkzhil5y

Multimodal biomedical image retrieval using hierarchical classification and modality fusion

Md Mahmudur Rahman, Daekeun You, Matthew S. Simpson, Sameer K. Antani, Dina Demner-Fushman, George R. Thoma
2013 International Journal of Multimedia Information Retrieval  
To minimize limitations of low-level feature representations in content-based image retrieval (CBIR), and to complement text-based search, we propose a multi-modal image search approach that exploits hierarchical  ...  Our methods use text extracted from relevant components in a document to create structured representations as "enriched citations" for the textbased search approach.  ...  Issues that are worth considering: how to intelligently combine the text and image queries to form hybrid queries; how to optimally combine retrieval result lists for multiple example query images; and  ... 
doi:10.1007/s13735-013-0038-4 fatcat:cl7yikyncjaknivblsixnjbe74

A Novel Architecture and Analysis of Challenges for Combining Text and Image for Medical Image Retrieval

Pradnya Kulkarni, Siddhivinayak Kulkarni, Andrew Stranieri
2014 International Journal for Infonomics  
We propose a diagnostic support system based on a combination of image and text retrieval.  ...  Radiological support systems including PACS (Picture Archiving and Communication System), SRS (Structured Reporting System) and image and text retrieval systems have been developed to assist radiologists  ...  Conclusion In this paper we have overviewed content based medical image retrieval, text retrieval and systems combining content based and text based retrieval.  ... 
doi:10.20533/iji.1742.4712.2014.0105 fatcat:agjqvxbetjb3hguwk2dchh6ouu

Multiple evidence combination in image retrieval

Y. Alp Aslandogan, Clement T. Yu
2000 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00  
An automatic web search engine named Diogenes 1 searches the web for personal images and combines different pieces of evidence for identification.  ...  In particular, we examine linear and Dempster-Shafer methods of evidence combination in the context of identifying personal images on the World Wide Web.  ...  Acknowledgments We would like to thank Matthew 'Ihrk (Microsoft), Alex Pentland (MIT), Takeo Kanade (CMU) and Henry A. Rowley(CMU) for making software available for this project.  ... 
doi:10.1145/345508.345553 dblp:conf/sigir/AslandoganY00 fatcat:p2l3s4h4xfhcpkam5zfsnhrbse

Investigating the document structure as a source of evidence for multimedia fragment retrieval

Mouna Torjmen-Khemakhem, Karen Pinel-Sauvagnat, Mohand Boughanem
2013 Information Processing & Management  
Our general approach is built on two steps: we first retrieve XML elements containing multimedia objects, and we then explore the surrounding information to retrieve relevant multimedia fragments.  ...  Multimedia objects can be retrieved using their context that can be for instance the text surrounding them in documents. This text may be either near or far from the searched objects.  ...  Columns %images and %Text.  ... 
doi:10.1016/j.ipm.2013.06.001 fatcat:ac4vtvzcorbu7mi33kwuv2wkla

Combining visual features and text data for medical image retrieval using latent semantic kernels

Juan C. Caicedo, Jose G. Moreno, Edwin A. Niño, Fabio A. González
2010 Proceedings of the international conference on Multimedia information retrieval - MIR '10  
In this paper we propose an strategy to fuse visual features and unstructured-text data in a medical image retrieval system.  ...  The proposed method is tested in a medical image collection from the ImageCLEFmed08 challenge. The experimental evaluation tests the system using different image queries.  ...  Both images and text bring complete meaning to the document and they are complementary information for the reader. Image retrieval systems can exploit text descriptions to search only using keywords.  ... 
doi:10.1145/1743384.1743442 dblp:conf/mir/CaicedoMNG10 fatcat:jvbk72tepvczvmsjjdizqobzje
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