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Using semantic contents and WordNet in image retrieval

Y. Alp Aslandogan, Chuck Thier, Clement T. Yu, Jon Zou, Naphtali Rishe
1997 Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '97  
In this paper we use knowledge about the semantic contents of images to improve retrieval effectiveness. In particular we use Word Net, an electronic  ...  Image retrievaf based on semantic contents involves extraction, modelling and indexing of content information.  ...  Acknowledgements We would like to thank EUen Voorhees for her explanation of sense disambiguation and query expansion schemes.  ... 
doi:10.1145/258525.258591 dblp:conf/sigir/AslandoganTYZR97 fatcat:2dsxcd7bfzaihpegprll4ls5h4

Labeling and Retrieval of Emotionally-Annotated Images using WordNet [article]

Marko Horvat, Anton Grbin, Gordan Gledec
2014 arXiv   pre-print
Repositories of images with semantic and emotion content descriptions are valuable tools in many areas such as Affective Computing and Human-Computer Interaction, but they are also important in the development  ...  To achieve these goals we present an online ontology-based image annotation tool WNtags and demonstrate its usefulness in knowledge representation and image retrieval using the International Affective  ...  Acknowledgements Engineering and Computing. The WNtags tool can be accessed by contacting the first author of the paper.  ... 
arXiv:1304.0954v2 fatcat:pfd5zi7ssjhulhikbqvzjclnk4

WNtags: A Web-Based Tool For Image Labeling And Retrieval With Lexical Ontologies [article]

Marko Horvat, Anton Grbin, Gordan Gledec
2017 arXiv   pre-print
WNtags uses sets of weighted WordNet synsets as high-level image semantic descriptors and query matching is performed with word stemming and node distance metrics.  ...  We present an ontology-based online image annotation tool WNtags and demonstrate its usefulness in several typical multimedia retrieval tasks using International Affective Picture System emotionally annotated  ...  their Programming Project course at the University of Zagreb, Faculty of Electrical Engineering and Computing.  ... 
arXiv:1302.2223v2 fatcat:6yponuioi5cglbxrteczy2yjtm

Deep Network for Content and Context Based Image Retrieval System

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The brisk improvement in sight and sound and imaging advancement, the amounts of pictures moved and shared on the web have extended.  ...  In this exploration paper, we portray Image recovery utilizing proposed lingering profound systems.  ...  Revealing Hidden Semantics In the past areas, we saw that one of the serious issues in both setting based image retrieval and content-based image retrieval is the way that the terms1 in an archive (words  ... 
doi:10.35940/ijitee.k1090.09811s219 fatcat:ylcvk2qbi5h6dcz2qcio5nsati

Semantic similarity methods in wordNet and their application to information retrieval on the web

Giannis Varelas, Epimenidis Voutsakis, Paraskevi Raftopoulou, Euripides G.M. Petrakis, Evangelos E. Milios
2005 Proceedings of the seventh ACM international workshop on Web information and data management - WIDM '05  
The proposed method has been evaluated in retrieval of images and documents on the Web.  ...  Some of the most popular semantic similarity methods are implemented and evaluated using WordNet as the underlying reference ontology.  ...  We propose discovering semantically similar terms using WordNet and semantic similarity methods.  ... 
doi:10.1145/1097047.1097051 dblp:conf/widm/VarelasVRPM05 fatcat:my2p752uxrg2vgyqxwesjw3dea

Apply semantic template to support content-based image retrieval

Yueting Zhuang, Xiaoming Liu, Yunhe Pan, Minerva M. Yeung, Boon-Lock Yeo, Charles A. Bouman
1999 Storage and Retrieval for Media Databases 2000  
the support of WordNet TM in the retrieval process, which helps the user to do retrieval on the semantic level.  ...  Integrated with our image retrieval system, we propose a new approach to generate semantic template automatically in the process of relevance feedback, and construct a network of semantic template with  ...  In our system, we have used the noun, adverb and verb portions of WordNet. WordNet uses three ways to construe the semantic associations.  ... 
doi:10.1117/12.373576 dblp:conf/spieSR/ZhuangLP00 fatcat:m545ejhkjfgehjxfyozekwzu3m

Information Retrieval by Semantic Similarity

Angelos Hliaoutakis, Giannis Varelas, Epimenidis Voutsakis, Euripides G.M. Petrakis, Evangelos Milios
2006 International Journal on Semantic Web and Information Systems (IJSWIS)  
The most popular semantic similarity methods are implemented and evaluated using WordNet and MeSH.  ...  We investigate approaches to computing the semantic similarity between natural language terms (using WordNet as the underlying reference ontology) and between medical terms (using the MeSH ontology of  ...  The first application is retrieval of medical documents using MeSH and the second application is image retrieval on the Web using WordNet.  ... 
doi:10.4018/jswis.2006070104 fatcat:txa6cg4rwnejdgpkuw7giq3nf4

Semantic feedback for interactive image retrieval

Changbo Yang, Ming Dong, Farshad Fotouhi
2005 Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05  
In this paper we present a semantic image retrieval system with integrated feedback mechanism.  ...  In our system, we propose a novel feedback solution for semantic retrieval: semantic feedback, which allows our system to interact with users directly at the semantic level.  ...  By forming an explicit semantic network on top of the keyword association on the images, the semantic contents of images are deduced using relevance feedback and utilized for retrieval purposes.  ... 
doi:10.1145/1101149.1101240 dblp:conf/mm/YangDF05 fatcat:iezzgvmx3rhtrazpjbhh4oqnha

Adding semantics to the reliable object annotated image databases

Irfanullah, Nida Aslam, Jonathan Loo, Roohullah, Martin Loomes
2011 Procedia Computer Science  
In this paper, we present semantically enhanced information extraction model that calculate the semantic intensity (SI) of each object in the image and then enhance the tagged concept with the assistance  ...  Results demonstrate the substantial improvement in terms of concept diversity, concept enrichment and retrieval performance.  ...  ConceptNet and WordNet are selected to be utilized in this work for several reasons, like both of them are used in wide domain for annotation and retrieval, having natural language form with semantic relational  ... 
doi:10.1016/j.procs.2010.12.069 fatcat:fpyzantyyzdvberfe6k3xb5g7u

An object-oriented approach for image processing and semantic query based on content

Eugen Ganea, Marius Brezovan
2009 2009 International Multiconference on Computer Science and Information Technology  
This paper presents a new method for image retrieval considering the information extracted from the image through the segmentation process and the semantic interpretation of this information.  ...  The object oriented native query system is used for the retrieval of the images from the database.  ...  We use the noun synsets of WordNet because for image semantic interpretation the nouns can express the entire image content.  ... 
doi:10.1109/imcsit.2009.5352800 dblp:conf/imcsit/GaneaB09 fatcat:ls2exchlhndp7oftnrmvxzfqau

Visual Concept Ontology for Image Annotations [article]

Jan Botorek and Petra Budikova and Pavel Zezula
2014 arXiv   pre-print
In spite of the development of content-based data management, text-based searching remains the primary means of multimedia retrieval in many areas.  ...  Such data need to be analyzed with the help of semantic resources that provide knowledge about objects and relationships in a given domain.  ...  Figure 2 : 2 Comparison of VCO and WordNet top-level concepts.most frequently used in image descriptions and have the strongest support in the WordNet.  ... 
arXiv:1412.6082v1 fatcat:dgonn5uwv5dqvcshskodd5cqqi

Improving Image Retrieval Using Semantic Resources [chapter]

Adrian Popescu, Gregory Grefenstette, Pierre-Alain Moellic
2008 Studies in Computational Intelligence  
Some limitations (e.g. the quality and coverage of the semantic structure, the impossibility to answer complex queries) of the ontology based retrieval are equally discussed.  ...  Coordinating the use of a lexical ontology (an OWL representation of WordNet) with image processing techniques, we have developed a system that, given an initial query, automatically returns images associated  ...  An important contribution introduced in [3] is the joint use of semantic relations and content based image retrieval to improve the quality of the results.  ... 
doi:10.1007/978-3-540-76361_4 fatcat:rdwtfwupbjhz3mpjzqdx24j3hi

Comparison of Different Ontology-Based Query Expansion Algorithms for Effective Image Retrieval [chapter]

C. H. C. Leung, Yuanxi Li
2011 Communications in Computer and Information Science  
We study several semantic concept-based query expansion and re-ranking scheme and compare different ontology-based expansion methods in image search and retrieval.  ...  We also compare the image retrieval precision of searching with the expanded query and original plain query.  ...  "tower", and so on according to The precision is calculated as follows: |{ _ } { _ }| Pr |{ _ }| relevant images retrieved images ecision retrieved images   (7) We also do the experiment on other  ... 
doi:10.1007/978-3-642-27183-0_31 fatcat:mceujg6y2zbe5hexvu6kwi4rru

Thesaurus-aided approach for image browsing and retrieval

Jun Yang, Liu Wenyin, Hongjiang Zhang, Yueting Zhuang
2001 IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.  
Both approaches are seamlessly integrated into a unified framework for semantics-and feature-based image retrieval.  ...  The current trend of image retrieval is to incorporate image semantics with visual features to enhance retrieval performance.  ...  In this filed, content-based image retrieval (CBIR) is devised to search images based on visual similarity [1] .  ... 
doi:10.1109/icme.2001.1237927 dblp:conf/icmcs/YangLZZ01 fatcat:ofxxau45qfepllj7u76ry6phnm

MediaNet: a multimedia information network for knowledge representation

Ana B. Benitez, John R. Smith, Shih-Fu Chang, John R. Smith, Chinh Le, Sethuraman Panchanathan, C.-C. Jay Kuo
2000 Internet Multimedia Management Systems  
We construct the MediaNet knowledge base using both WordNet and an image network built from multiple example images and extracted color and texture descriptors.  ...  Initial experimental results demonstrate improved retrieval effectiveness using MediaNet in a content-based retrieval system.  ...  We have reported on experiments that use MediaNet in searching for images. Initial experimental results demonstrate improved retrieval effectiveness using MediaNet in a contentbased retrieval system.  ... 
doi:10.1117/12.403791 fatcat:kd3y5yvsyjh3tixih76fftprha
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