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Guest editorial: web multimedia semantic inference using multi-cues

Yahong Han, Yi Yang, Xiaofang Zhou
<span title="2015-06-23">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tdniohqnfvcqrpinoqffpwlpgq" style="color: black;">World wide web (Bussum)</a> </i> &nbsp;
The paper "Feature Aggregating Hashing for Image Copy Detection" and "Compact Representation for Large-Scale Unconstrained Video Analysis" explore how to effectively represent images or videos for image  ...  The paper "Feature Aggregating Hashing for Image Copy Detection" and "Compact Representation for Large-Scale Unconstrained Video Analysis" proposes a promising approach using binary finger-prints to define  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11280-015-0360-2">doi:10.1007/s11280-015-0360-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vc4plge5qvg7hfmza3dffmawki">fatcat:vc4plge5qvg7hfmza3dffmawki</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503052304/https://link.springer.com/content/pdf/10.1007%2Fs11280-015-0360-2.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/62/b2/62b26a58e32ae56dcbfb723b7a5776c565ba3a99.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11280-015-0360-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Large-scale retrieval for medical image analytics: A comprehensive review

Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kpkfymbkufcnzjfc5ydyokby4y" style="color: black;">Medical Image Analysis</a> </i> &nbsp;
On the basis of existing work, we introduce the evaluation protocols and multiple applications of large-scale medical image retrieval, with a variety of exploratory and diagnostic scenarios.  ...  Then, we provide a comprehensive review of algorithms and techniques relevant to major processes in the pipeline, including feature representation, feature indexing, searching, etc.  ...  In large-scale medical image retrieval, one query image may have thou-975 sands of images with the same label.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2017.09.007">doi:10.1016/j.media.2017.09.007</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29031831">pmid:29031831</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s6jnxawnongufgdngpjeifv3vm">fatcat:s6jnxawnongufgdngpjeifv3vm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200309202943/https://hesso.tind.io//record/2362/files/Muller_2018_large_scale_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/4f/ee/4feea8494b9403eaf76059f2a648b6325f73b991.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2017.09.007"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A Survey on Content Based Image Retrieval Using Convolutional Neural Networks

<span title="2020-10-15">2020</span> <i title="The World Academy of Research in Science and Engineering"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/naqzxq5hurh2bp2pnvwitnnx44" style="color: black;">International Journal of Advanced Trends in Computer Science and Engineering</a> </i> &nbsp;
Traditional hashing techniques are most commonly used to provide high quality search results for labeled images.  ...  But the delivery of high quality pictures without human interaction, using automated annotation among very large scale image databases, is still a continuous research process.  ...  [84] and multi task feature extraction framework [66] Large Margin Multi-modal Multi-task Feature Extraction for Image Classification is adopted for handling multi- modal feature extraction Appropriate  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30534/ijatcse/2020/70952020">doi:10.30534/ijatcse/2020/70952020</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vjpq2j2pdza5di426baglhavai">fatcat:vjpq2j2pdza5di426baglhavai</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201027124943/http://www.warse.org/IJATCSE/static/pdf/file/ijatcse70952020.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/c8/53/c853d4fe5163b086ba61b1e91129f1081671360b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30534/ijatcse/2020/70952020"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Training Convolutional Networks with Web Images [article]

Nizar Massouh
<span title="2018-05-22">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We replicate the ImageNet large scale database (ILSVRC-2012) from images collected from the web using 4 different download strategies varying: the search engine, the query and the image resolution.  ...  In this thesis we investigate the effect of using web images to build a large scale database to be used along a deep learning method for a classification task.  ...  Large Scale databases are built with millions of images that are usually labelled and annotated using human experts.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.08416v1">arXiv:1805.08416v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4ezdujpxybfwddgxfkapybt5uy">fatcat:4ezdujpxybfwddgxfkapybt5uy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191020013155/https://arxiv.org/pdf/1805.08416v1.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/ef/4f/ef4f51c2a24435e34d2cf4da8c36d4b3981822b0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.08416v1" 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>

Convolutional neural networks and hash learning for feature extraction and of fast retrieval of pulmonary nodules

Pinle Qin, Jun Chen, Kai Zhang, Rui Chai
<span title="">2018</span> <i title="National Library of Serbia"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rhtuh2ifczhapmhplqzald63za" style="color: black;">Computer Science and Information Systems</a> </i> &nbsp;
Then, multi-scale receiving field convolution module is used to extract features of the segmented images with different sizes.  ...  Finally, encoded the features and used a coarse to fine search strategy with an average search accuracy of 0.73.  ...  Introduction With the widespread use of computers, multi-media and storage systems, mass storage of image and multi-media content has emerged.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2298/csis171210020q">doi:10.2298/csis171210020q</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t7hons6mjfevncwqaomsx3pqxq">fatcat:t7hons6mjfevncwqaomsx3pqxq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191115092603/http://www.doiserbia.nb.rs/img/doi/1820-0214/2018/1820-02141800020Q.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/0f/f3/0ff3ec05cefd2da76a315e1e817a49e2fcfdecd7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2298/csis171210020q"> <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>

Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion [article]

Yang Wang
<span title="2020-06-15">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
With the development of web technology, multi-modal or multi-view data has surged as a major stream for big data, where each modal/view encodes individual property of data objects.  ...  Throughout this survey, we further indicate that the critical components for this field go to collaboration, adversarial competition and fusion over multi-modal spaces.  ...  A lot of deep multi-modal hashing models [145, 158] designed feature descriptors into a similarity preserving hamming space to perform large-scale retrieval. For example, Yan et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.08159v1">arXiv:2006.08159v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g4467zmutndglmy35n3eyfwxku">fatcat:g4467zmutndglmy35n3eyfwxku</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200623191134/https://arxiv.org/pdf/2006.08159v1.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.08159v1" 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>

Multi-modal Deep Analysis for Multimedia

Wenwu Zhu, Xin Wang, Hongzhi Li
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jqw2pm7kwvhchpdxpcm5ryoic4" style="color: black;">IEEE transactions on circuits and systems for video technology (Print)</a> </i> &nbsp;
hashing.  ...  data and knowledge fusion: multi-modal fusion of data with domain knowledge.  ...  ACKNOWLEDGMENT We thank Guohao Li, Shengze Yu and Yitian Yuan for providing relevant materials and valuable opinions. This work will never be accomplished without their useful suggestions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tcsvt.2019.2940647">doi:10.1109/tcsvt.2019.2940647</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l4tchrkgrnaeradvc4nhfan2w4">fatcat:l4tchrkgrnaeradvc4nhfan2w4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200903232756/https://arxiv.org/pdf/1910.04964v1.pdf" title="fulltext PDF download [not primary version]" 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] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f1/93/f193a7fa832ff1660215d6cae2411989163ab1bf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tcsvt.2019.2940647"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Robust discrete code modeling for supervised hashing

Yadan Luo, Yang Yang, Fumin Shen, Zi Huang, Pan Zhou, Heng Tao Shen
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jm6w2xclfzguxnhmnmq5omebpi" style="color: black;">Pattern Recognition</a> </i> &nbsp;
Highlights • We propose a novel supervised hashing scheme to generate high-quality hash codes and hash functions for facilitating large-scale multimedia applications. • We devise an effective binary code  ...  Abstract Recent years have witnessed the promising efficacy and efficiency of hashing (also known as binary code learning) for retrieving nearest neighbor in large-scale data collections.  ...  Li, Large-scale multi-task image labeling with adaptive 355 relevance discovery and feature hashing, Signal Processing 112 (2015) 137-145. [29] H. Y. L. X. Y. R. Rongrong Ji, Ling-Yu Duan, W.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patcog.2017.02.034">doi:10.1016/j.patcog.2017.02.034</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5n2xtxvg7jh7pofrbcahv33ofm">fatcat:5n2xtxvg7jh7pofrbcahv33ofm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200307082620/https://espace.library.uq.edu.au/data/UQ_709723/UQ709723_OA.pdf?Expires=1583569662&amp;Key-Pair-Id=APKAJKNBJ4MJBJNC6NLQ&amp;Signature=LAF7asioNMMcC3p4WZlsiqsZQvZzIMoX1-pM8BxNesM7R5qzv2IBBhPfG--M5zvcJuz6vDhyQvNTW~rlwotXIWgyWwYrvawvKCAQN1cXKaDlQTIR1ROYAugf5KLyTSHSpnJvAXauuzdbxLB28rZRpwRCfEW4JttyVz~joG0zFVJ3XX~wdPDCINOLX6SWLj4sSLlOCzZqEML3Vf5EzCy5athMMVnUu~E9pE6Jjkd0h8ZKYusP5imgWQntSuSO7x~pMYaAK~ivpFoqfuYpZLsujJUzCaik3M~0InSpKFvVQtLwkE20rtUox1LjVOWx9t7ACkr4z6AJ3cKAPlX4PcuebA__" 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/52/81/5281a0ab5e0ab9f9d57c1014c83eedde1459ae46.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patcog.2017.02.034"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Multiple Feature Hashing Learning for Large-Scale Remote Sensing Image Retrieval

Dongjie Ye, Yansheng Li, Chao Tao, Xunwei Xie, Xiang Wang
<span title="2017-11-16">2017</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fw2uac7a5jggbfgqwh2wqy7yxu" style="color: black;">ISPRS International Journal of Geo-Information</a> </i> &nbsp;
Driven by the urgent demand of remote sensing big data management and knowledge discovery, large-scale remote sensing image retrieval (LSRSIR) has attracted more and more attention.  ...  In order to show the superiority of the proposed multiple feature hashing learning method, we compare the proposed approach with the existing methods on two publicly available large-scale remote sensing  ...  and cannot be scalable to the large-scale remote sensing image retrieval task.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijgi6110364">doi:10.3390/ijgi6110364</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oi73dg74ondg3p6oln4x6avaui">fatcat:oi73dg74ondg3p6oln4x6avaui</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180728150548/https://res.mdpi.com/def50200994e0355889b1604380ab2715f97b65e6347cb8920f70ebd135066ccec93c0f3b4beab463a5635626a50130dd69516932e18fe5e9895b2a17ce686165d3d3660cda83fddc98962df48c87031d4439334ba4a6833c9faeaf4010b4ef4336f0cbbcafbefa7c10b940f82c7ca355e5fa072f51784b446d664bdcff029e9b5bafab56cdb78?filename=&amp;attachment=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/8b/20/8b207f3909a6e2921a7dd66642dd276186ae9bf9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijgi6110364"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives [article]

Gencer Sumbul, Jian Kang, Begüm Demir
<span title="2020-07-03">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This chapter presents recent advances in content based image search and retrieval (CBIR) systems in remote sensing (RS) for fast and accurate information discovery from massive data archives.  ...  After discussing their strengths and limitations, we present the deep hashing based CBIR systems that have high time-efficient search capability within huge data archives.  ...  This problem is also known as large-scale CBIR problem. In large-scale CBIR, the storage of the data is also challenging as RS image contents are often represented in high-dimensional features.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.01613v2">arXiv:2004.01613v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d4fjt3vzybbbrejxzobaluqsoq">fatcat:d4fjt3vzybbbrejxzobaluqsoq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710103739/https://arxiv.org/pdf/2004.01613v2.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.01613v2" 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>

PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback [article]

Yuncong Yu, Dylan Kruyff, Tim Becker, Michael Behrisch
<span title="2021-05-10">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We present PSEUDo, an adaptive feature learning technique for exploring visual patterns in multi-track sequential data.  ...  Multi-track time series data are generated on an unprecedented scale due to increased sensors and data storage.  ...  large and multi-track temporal datasets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.14962v2">arXiv:2104.14962v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iond6hwltnhi3mvpuygnxzlhau">fatcat:iond6hwltnhi3mvpuygnxzlhau</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210512110853/https://arxiv.org/pdf/2104.14962v2.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/b4/cf/b4cf44c0f19cbddf5df238c47b5c7f5626afaf07.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.14962v2" 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>

Scalable mining of small visual objects

Pierre Letessier, Olivier Buisson, Alexis Joly
<span title="">2012</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lahlxihmo5fhzpexw7rundu24u" style="color: black;">Proceedings of the 20th ACM international conference on Multimedia - MM &#39;12</a> </i> &nbsp;
The idea is that the collision frequencies obtained with hashing-based methods can actually be converted into a prior probability density function given as input to a weighted adaptive sampling algorithm  ...  This allows for an evaluation of any hashing scheme effectiveness in a more generalized way, and a comparison with other priors, e.g. guided by visual saliency concerns.  ...  This visual indexing is very efficient and adapted for a large scale process.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2393347.2393431">doi:10.1145/2393347.2393431</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mm/LetessierBJ12.html">dblp:conf/mm/LetessierBJ12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b7uxyxmivzflpa4botxcpl2jyq">fatcat:b7uxyxmivzflpa4botxcpl2jyq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200319192715/http://www-sop.inria.fr/members/Alexis.Joly/fp021-letessier.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/41/ed/41ed7df358111fc02d790704d001d4b50f5f82cb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2393347.2393431"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Decade Survey of Content Based Image Retrieval using Deep Learning [article]

Shiv Ram Dubey
<span title="2020-11-23">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The content based image retrieval aims to find the similar images from a large scale dataset against a query image.  ...  Generally, the similarity between the representative features of the query image and dataset images is used to rank the images for retrieval.  ...  Datasets With the inception of deep learning models, various large-scale datasets have been created to facilitate the research in image recognition and retrieval.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2012.00641v1">arXiv:2012.00641v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2zcho2szpzcc3cs6uou3jpcley">fatcat:2zcho2szpzcc3cs6uou3jpcley</a> </span>
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2021 Index IEEE Transactions on Multimedia Vol. 23

<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sbzicoknnzc3tjljn7ifvwpooi" style="color: black;">IEEE transactions on multimedia</a> </i> &nbsp;
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages.  ...  ., +, TMM 2021 4341-4350 Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval.  ... 
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Visual Search at eBay

Fan Yang, Ajinkya Kale, Yury Bubnov, Leon Stein, Qiaosong Wang, Hadi Kiapour, Robinson Piramuthu
<span title="">2017</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD &#39;17</a> </i> &nbsp;
We harness the availability of large image collection of eBay listings and state-of-the-art deep learning techniques to perform visual search at scale.  ...  The system architecture is presented with in-depth discussions of its basic components and optimizations for a trade-off between search relevance and latency.  ...  Deep learning has proven extremely powerful for semantic feature representation and multi-class image classi cation on large image datasets such as ImageNet [12] . Krizhevsky et al.  ... 
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