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Unsupervised Visual and Textual Information Fusion in CBMIR Using Graph-Based Methods

Julien Ah-Pine, Gabriela Csurka, Stéphane Clinchant
<span title="2015-02-17">2015</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a2o77szzyngfjiyr6oftvf2ts4" style="color: black;">ACM Transactions on Information Systems</a> </i> &nbsp;
Our proposal allows us to highlight the core features one should consider when using a graph based technique for the combination of visual and textual information.  ...  From a practical standpoint, our extended empirical analyses allow us to provide insights and guidelines about the use of graph based methods for multimodal information fusion in content based multimedia  ...  Our goal is to establish some guidelines on the combination of visual and textual information in CBMIR using graph based methods.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2699668">doi:10.1145/2699668</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p3bqd767sjcbbdn2hn3fpxmp2i">fatcat:p3bqd767sjcbbdn2hn3fpxmp2i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190505165121/https://hal.archives-ouvertes.fr/hal-01504636/file/mir-fusion.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b3/7f/b37f686bf8c3e1b621b2ea1ca77718e652f7d56e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2699668"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Unsupervised Visual and Textual Information Fusion in Multimedia Retrieval - A Graph-based Point of View [article]

Gabriela Csurka and Julien Ah-Pine and Stéphane Clinchant
<span title="2014-01-27">2014</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our proposal allows us to highlight the core features one should consider when using a graph based technique for the combination of visual and textual information.  ...  From a practical standpoint, our extended empirical analysis allow us to provide insights and guidelines about the use of graph based methods for multimodal information fusion in content based multimedia  ...  when using graph based methods for the combination of visual and textual information in CBMIR. • We analyze two different multimodal search scenarios.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1401.6891v1">arXiv:1401.6891v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dbo4xnptebejdktgyc5h6qbiee">fatcat:dbo4xnptebejdktgyc5h6qbiee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200904033055/https://arxiv.org/pdf/1401.6891v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d7/db/d7db3b5265e757b2ebaa5049f4a9be4c39cbd87a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1401.6891v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Unsupervised Topic Hypergraph Hashing for Efficient Mobile Image Retrieval

Lei Zhu, Jialie Shen, Liang Xie, Zhiyong Cheng
<span title="">2017</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/snhjqrgxbff5teva5lfasxmfr4" style="color: black;">IEEE Transactions on Cybernetics</a> </i> &nbsp;
In our method, relations between images and semantic topics are first discovered via robust collective non-negative matrix factorization.  ...  Experiments on publicly available datasets demonstrate that THH can achieve superior performance compared with several state-of-the-art methods, and it is more suitable for mobile image retrieval.  ...  However, most existing hashing methods are designed based on pure visual statistical information without considering the informative text, which is usually associated with Web images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tcyb.2016.2591068">doi:10.1109/tcyb.2016.2591068</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28113794">pmid:28113794</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/544qshpsunhktceq4ipo2zdc2m">fatcat:544qshpsunhktceq4ipo2zdc2m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321193724/https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=4538&amp;context=sis_research" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3b/60/3b60e9a8da9e2f03f3279cb345afcbacf8d09a60.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tcyb.2016.2591068"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

ADVCOMP 2014 Technical Program Committee

Danny Krizanc, Ivan Rodero, Jerry Trahan, Wenbing Zhao, Dmitry Fedosov, Juelich Gmbh, Alice Germany, Lawrence Koniges, Laboratory, Nersc, Markus Usa, Kunde (+106 others)
<span title="">2014</span> <i > ADVCOMP </i> &nbsp; <span class="release-stage">unpublished</span>
The conference sought contributions presenting novel research in all aspects of new scientific methods for computing and hybrid methods for computing optimization, as well as advanced algorithms and computational  ...  With the current computing software, hardware and distributed platforms effective use of advanced computing techniques is more achievable.  ...  In the first part, the low-level fusion visual features are extracted based on intensity, texture, and their extended versions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6j6ehjqydndxfn4bbijomtbefi">fatcat:6j6ehjqydndxfn4bbijomtbefi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180414030755/http://www.thinkmind.org/download_full.php?instance=ADVCOMP+2014" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a>