Filters








14,190 Hits in 5.6 sec

Multimodal Image Retrieval over a Large Database [chapter]

Débora Myoupo, Adrian Popescu, Hervé Le Borgne, Pierre-Alain Moëllic
<span title="">2010</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
We introduce a new multimodal retrieval technique which combines query reformulation and visual image reranking in order to deal with results sparsity and imprecision, respectively.  ...  We compare textual and multimodal retrieval and show that introducing visual reranking results in a significant improvement of performance.  ...  We verify our assumptions on the Wikipedia collection, a large image dataset [10] and present results which show that multimodal search outperforms textual search while introducing a small computational  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-15751-6_20">doi:10.1007/978-3-642-15751-6_20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4aowzdwztrbaphhrbgudfyyksy">fatcat:4aowzdwztrbaphhrbgudfyyksy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140104031925/http://elm.eeng.dcu.ie:80/~hlborgne/pub/myoupo10multimodal_retrieval.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/04/09/04095e731f911df30e08623140118f110cdb69d3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-15751-6_20"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Towards developing a unified multimodal image retrieval framework

Zhongfei Zhang, Zhen Guo, Ruofei Zhang
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pmefrmqsezb5zd3w7pf5k7fmxu" style="color: black;">2009 IEEE International Conference on Multimedia and Expo</a> </i> &nbsp;
Built upon the previous work on automatic image annotation and multimodal image retrieval, in this paper we present a unified multimodal image retrieval framework, called UPMIR.  ...  large scale, visually and semantically diverse database crawled from the Web to demonstrate that UPMIR not only has more effective and efficient retrieval performance, but also facilitates more enhanced  ...  The purpose is to show that a multimodal image retrieval system such as UPMIR still has clear advantages for image retrieval over a pure text based indexing system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icme.2009.5202838">doi:10.1109/icme.2009.5202838</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icmcs/ZhangGZ09.html">dblp:conf/icmcs/ZhangGZ09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mq377wdnerh6fnsjwj2ebjrjsa">fatcat:mq377wdnerh6fnsjwj2ebjrjsa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120130213557/http://www.cs.binghamton.edu/~zguo/paper/icme09.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/b1/ce/b1ce9d397efae741ebbcc5df35437ff556f85461.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icme.2009.5202838"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Enhanced max margin learning on multimodal data mining in a multimedia database

Zhen Guo, Zhongfei Zhang, Eric Xing, Christos Faloutsos
<span title="">2007</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD &#39;07</a> </i> &nbsp;
in the sense that the query response time is independent of the database scale, allowing facilitating a multimodal data mining querying to a very large scale multimedia database, and excelling many existing  ...  While EMML is a general framework, for the evaluation purpose, we apply it to the Berkeley Drosophila embryo image database, and report the performance comparison with a state-of-the-art multimodal data  ...  ACKNOWLEDGEMENT This work is supported in part by NSF (IIS-0535162, EF-0331657), AFRL (FA8750-05-2-0284), AFOSR (FA9550-06-1-0327), and a CAREER Award to EPX by the National Science Foundation under Grant  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1281192.1281231">doi:10.1145/1281192.1281231</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/GuoZXF07.html">dblp:conf/kdd/GuoZXF07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xcmwtymmlrhgpofmgry6bqj3yu">fatcat:xcmwtymmlrhgpofmgry6bqj3yu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100620040014/http://www.sailing.cs.cmu.edu/pdf/2007/zhenkdd07.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/61/eb/61eb42c94597699b17825fb4f344cabfc783dca3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1281192.1281231"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Online Matrix Factorization for Multimodal Image Retrieval [chapter]

Juan C. Caicedo, Fabio A. González
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper, we propose a method to build an index for image search using multimodal information, that is, using visual features and text data simultaneously.  ...  Experiments were conducted in a dataset of 5,000 images to evaluate the convergence speed and search performance.  ...  Then, a final pass over the data would be required to recover the multimodal latent representation H for the full database, using the same expression for all images, and without updating P and Q.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33275-3_42">doi:10.1007/978-3-642-33275-3_42</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d3h2huf36bbjtnxvkxgxaawayq">fatcat:d3h2huf36bbjtnxvkxgxaawayq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190426075857/https://link.springer.com/content/pdf/10.1007%2F978-3-642-33275-3_42.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/6d/bb/6dbbc95343958224c5be5a1323119cced702fbc2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33275-3_42"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Multimodal pLSA on visual features and tags

Stefan Romberg, Eva Horster, Rainer Lienhart
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pmefrmqsezb5zd3w7pf5k7fmxu" style="color: black;">2009 IEEE International Conference on Multimedia and Expo</a> </i> &nbsp;
This work studies a new approach for image retrieval on largescale community databases.  ...  We use topic models to derive a high-level representation appropriate for retrieval for each of our images in the database.  ...  However, nowadays images are often stored in and retrieved from large-scale community databases such as Flickr.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icme.2009.5202522">doi:10.1109/icme.2009.5202522</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icmcs/RombergHL09.html">dblp:conf/icmcs/RombergHL09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kfremgkw3bgq3kn3mriwutqa3q">fatcat:kfremgkw3bgq3kn3mriwutqa3q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721191036/https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/deliver/index/docId/1316/file/TR_2009_09.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/60/c2/60c25d53012a3294e8212e22ea2d74caa6562e82.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icme.2009.5202522"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Supervised models for multimodal image retrieval based on visual, semantic and geographic information

Duc-Tien Dang-Nguyen, Giulia Boato, Alessandro Moschitti, Francesco G. B. De Natale
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4x2ph3aacbhaflopv3sj76tgpq" style="color: black;">2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)</a> </i> &nbsp;
Nowadays, large-scale networked social media need better search technologies to achieve suitable performance. Multimodal approaches are promising technologies to improve image ranking.  ...  The resulting models is used as a ranking function to sort the results of a multimodal query.  ...  Conclusions In this paper, we presented a novel way to combine visual information with tags and GPS information to improve the performance of image ranking in a large-scale database image retrieval problem  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cbmi.2012.6269806">doi:10.1109/cbmi.2012.6269806</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cbmi/Dang-NguyenBMN12.html">dblp:conf/cbmi/Dang-NguyenBMN12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f4tafe2m6jc2hi7rmsvx33vxmi">fatcat:f4tafe2m6jc2hi7rmsvx33vxmi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170202094331/http://disi.unitn.it/moschitti/articles/2012/CBMI2012_v1.6.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/36/2e/362ef2d6371e52a32641629a81668b2a87177566.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cbmi.2012.6269806"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval

Savvas A. Chatzichristofis, Konstantinos Zagoris, Avi Arampatzis
<span title="">2011</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR &#39;11</a> </i> &nbsp;
The Bag-Of-Visual-Words (BOVW) paradigm is fast becoming a popular image representation for Content-Based Image Retrieval (CBIR), mainly because of its better retrieval effectiveness over global feature  ...  The TOP-SURF descriptor is evaluated against Compact Composite Descriptors on a two-stage image retrieval setup, which first uses a text modality to rank the collection and then perform CBIR only on the  ...  In [2] , we experimented with two-stage image retrieval from a large multimodal database, by first using a text modality to rank the collection and then perform CBIR only on the top-K items.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2009916.2010144">doi:10.1145/2009916.2010144</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/ChatzichristofisZA11.html">dblp:conf/sigir/ChatzichristofisZA11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xcu2cu7shfgg3flxit46dlzviu">fatcat:xcu2cu7shfgg3flxit46dlzviu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809074200/http://www.aviarampatzis.com/publications/SIGIR11_SURF2stage.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/4d/46/4d465abb18eb575fdc54349649a6f25522a11a45.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2009916.2010144"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Max Margin Framework on Image Annotation and Multimodal Image Retrieval

Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos
<span title="">2007</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pmefrmqsezb5zd3w7pf5k7fmxu" style="color: black;">Multimedia and Expo, 2007 IEEE International Conference on</a> </i> &nbsp;
This paper presents a max margin framework on image annotation and multimodal image retrieval as a structured prediction model.  ...  While this framework is a general approach which can be applied to multimodal information retrieval in any domains, we apply this approach to the Berkeley Drosophila embryo image database for the evaluation  ...  More importantly, our framework has a great advantage in scalability over many existing image retrieval systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icme.2007.4284697">doi:10.1109/icme.2007.4284697</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icmcs/GuoZXF07.html">dblp:conf/icmcs/GuoZXF07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bj6ypbovivesdntgk7u4e64w2q">fatcat:bj6ypbovivesdntgk7u4e64w2q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100620035416/http://www.sailing.cs.cmu.edu/pdf/2007/zhenicme07.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/94/89/94897b13e23147db6a774f520c839052bb50b2d5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icme.2007.4284697"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Deep Multimodal Embedding Model for Fine-grained Sketch-based Image Retrieval

Fei Huang, Yong Cheng, Cheng Jin, Yuejie Zhang, Tao Zhang
<span title="">2017</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR &#39;17</a> </i> &nbsp;
In this paper, we consider Fine-grained SBIR as a cross-modal retrieval problem and propose a deep multimodal embedding model that exploits all the beneficial multimodal information sources in sketches  ...  Fine-grained Sketch-based Image Retrieval (Fine-grained SBIR), which uses hand-drawn sketches to search the target object images, has been an emerging topic over the last few years.  ...  Recently, [6] proposed a large-scale database, "sketchy database", as a benchmark dataset for Fine-grained SBIR and tested several popular cross-domain convolutional network architectures.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3077136.3080681">doi:10.1145/3077136.3080681</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/HuangCJZZ17.html">dblp:conf/sigir/HuangCJZZ17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nifju3tqpjg4xkkobmzocmn33e">fatcat:nifju3tqpjg4xkkobmzocmn33e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218135148/https://static.aminer.org/pdf/20170130/pdfs/sigir/xvt0glsu7cefkn4frdkshz85bmgwuair.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/9a/5a/9a5af8af77c32068ad590de11a44b01fe9ce5e39.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3077136.3080681"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database [article]

Fangyuan Lei, Da Huang, Jianjian Jiang, Ruijun Ma, Senhong Wang, Jiangzhong Cao, Yusen Lin, Qingyun Dai
<span title="2021-06-23">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In deep learning area, large-scale image datasets bring a breakthrough in the success of object recognition and retrieval.  ...  Within over 6M images and corresponding texts of industrial goods labeled manually checked by professionals, PatentNet is the first ongoing industrial goods image database whose varieties are wider than  ...  To address above issues, we propose PatentNet as a large-scale incomplete multiview, multimodal and multilabel benchmark database for industrial goods image recognition, classification, and retrieval.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.12139v1">arXiv:2106.12139v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t2eiq235uvfgni6ftyfiezdk7q">fatcat:t2eiq235uvfgni6ftyfiezdk7q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210625130225/https://arxiv.org/ftp/arxiv/papers/2106/2106.12139.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/0d/17/0d17908e638690225db0276566a5da05365dd315.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.12139v1" 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>

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
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4x2ph3aacbhaflopv3sj76tgpq" style="color: black;">2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI)</a> </i> &nbsp;
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.  ...  Moreover, VERGE's multimodal fusion allows for combining all modalities for retrieving relevant-to-a-query multimodal objects, where queries are served as an image collection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cbmi.2016.7500276">doi:10.1109/cbmi.2016.7500276</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cbmi/MoumtzidouGMLVK16.html">dblp:conf/cbmi/MoumtzidouGMLVK16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zx3tgnl6dbcljaaezmakgmc72y">fatcat:zx3tgnl6dbcljaaezmakgmc72y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721030159/https://repositori.upf.edu/bitstream/handle/10230/28145/Moumtzidou_CBMI2016_mult.pdf;jsessionid=36B3D285F8C8808A1E83E72BA242DD9B?sequence=1" 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/fc/af/fcaf136d9d9cdea86625a7491215028d888937fb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cbmi.2016.7500276"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Medical Image Retrieval: A Multimodal Approach

Yu Cao, Shawn Steffey, Jianbiao He, Degui Xiao, Cui Tao, Ping Chen, Henning Müller
<span title="2015-07-22">2014</span> <i title="SAGE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/arhjbkogknfc5m4fvcz76b7r6m" style="color: black;">Cancer Informatics</a> </i> &nbsp;
Experimental results with large volume of real-world medical images have shown that our new approach is a promising solution for the next-generation medical imaging indexing and retrieval system.  ...  In this paper, we develop a new multimodal medical image retrieval approach based on the recent advances in the statistical graphic model and deep learning.  ...  over a latent topic.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4137/cin.s14053">doi:10.4137/cin.s14053</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26309389">pmid:26309389</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4533857/">pmcid:PMC4533857</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/axi6x7234ncwrowi3zs6j7dl7a">fatcat:axi6x7234ncwrowi3zs6j7dl7a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306070626/https://hesso.tind.io/record/1107/files/muller_medicalimageretrieval_2015.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/1d/18/1d183af07597309fced3dba5adfd6bdd30ee843b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4137/cin.s14053"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4533857" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Composite Correlation Quantization for Efficient Multimodal Retrieval

Mingsheng Long, Yue Cao, Jianmin Wang, Philip S. Yu
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR &#39;16</a> </i> &nbsp;
Efficient similarity retrieval from large-scale multimodal database is pervasive in modern search engines and social networks.  ...  In this paper, we approach seamless multimodal hashing by proposing a novel Composite Correlation Quantization (CCQ) model.  ...  Due to large volume and semantic gap [18] , effective and efficient retrieval of multimodal data remains a challenge.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2911451.2911493">doi:10.1145/2911451.2911493</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/LongCWY16.html">dblp:conf/sigir/LongCWY16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y7omekozmjghzjztzn3wtij3cq">fatcat:y7omekozmjghzjztzn3wtij3cq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160801223816/http://ise.thss.tsinghua.edu.cn/~mlong/doc/composite-correlation-quantization-sigir16.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/6b/fd/6bfd210f319de8aa934097e8a6a0d008ce878bfa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2911451.2911493"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Fusion vs. Two-Stage for Multimodal Retrieval [chapter]

Avi Arampatzis, Konstantinos Zagoris, Savvas A. Chatzichristofis
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
We compare two methods for retrieval from multimodal collections. The first is a score-based fusion of results, retrieved visually and textually.  ...  Nevertheless, two-stage retrieval provides efficiency benefits over fusion.  ...  Introduction Nowadays, information collections are not only large, but they may also be multimodal.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-20161-5_88">doi:10.1007/978-3-642-20161-5_88</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uwmh3s5vzndsxmh33vg23z4oya">fatcat:uwmh3s5vzndsxmh33vg23z4oya</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20161009225337/http://www.aviarampatzis.com/publications/ECIR11_fusionVS2stage.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/55/e0/55e04194bef58f5fc65697882c34e0d691d787e3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-20161-5_88"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Multimodal photo annotation and retrieval on a mobile phone

Xavier Anguera, JieJun Xu, Nuria Oliver
<span title="">2008</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bj3ypeajjfeb7pqvvlh5snru4a" style="color: black;">Proceeding of the 1st ACM international conference on Multimedia information retrieval - MIR &#39;08</a> </i> &nbsp;
In this paper, we present a multimodal and mobile image retrieval prototype named MAMI (Multimodal Automatic Mobile Indexing).  ...  In this paper, we compare multimodal and monomodal approaches for image retrieval and we propose a novel algorithm named the Multimodal Redundancy Reduction (MR2) Algorithm.  ...  We also evaluate the Multimodal Database In order to carry out the experiments, we collected a multimodal database.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1460096.1460127">doi:10.1145/1460096.1460127</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mir/AngueraXO08.html">dblp:conf/mir/AngueraXO08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z6gp7khjvbcvrefq75hhweh56u">fatcat:z6gp7khjvbcvrefq75hhweh56u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20081031190439/http://vision.ece.ucsb.edu/publications/xu_mir_2008.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/db/dc/dbdc78a3df7e7aa0468ebb021482582b8e716f15.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1460096.1460127"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 14,190 results