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Boost search relevance for tag-based social image retrieval
2009
2009 IEEE International Conference on Multimedia and Expo
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In this paper, we propose a relevance-based ranking scheme for social image search, aiming to automatically rank images according to their relevance to the query tag. ...
However, currently tag-based image search on Flickr does not provide the option of relevance-based ranking, i.e., the search results cannot be ranked according to their relevance levels with respect to ...
The lack of relevance ranking for tag-based social image retrieval can yield search results that are inconsistent in terms of image relevancy. ...
doi:10.1109/icme.2009.5202833
dblp:conf/icmcs/LiuHWZ09
fatcat:wenuhum3rrcw3bxz7tswbfhf3y
Image Tagging With Social Assistance
2018
International Journal of Trend in Scientific Research and Development
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Tag-primarily based definitely image are seeking for is an essential method to find photos shared with the aid of manner of clients in social networks. ...
In this paper, we advocate a topic diverse ranking method for tag-primarily based photo retrieval with the eye of selling the situation insurance overall performance. ...
Tag information enrichment-which aims to supplement tags with additional information. 6. RELATED WORK: 6.1 Boost Search Relevance For Tag-Based Social Image Retrieval. ...
doi:10.31142/ijtsrd14566
fatcat:hejrlm66ajg4bdbthx642kor4a
Guest editorial: selected papers from ICIMCS 2012
2015
Multimedia Systems
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collections and a binary SIFT verification method boosting the retrieval precision. ...
The first article "Visual word expansion and BSIFT verification for large-scale image search" by Zhou et al. presents a visual word expansion method improving the recall of retrieval on large-scale image ...
Thomas Plagemann for providing us the opportunity to organize this special issue. We thank the reviewers for their great efforts. ...
doi:10.1007/s00530-015-0461-x
fatcat:vtnvdq7onfdn3p3orfpbuy5fny
Study Of Social Image Re-Ranking According Inter And Intra User Impact
2018
Zenodo
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That helps in the web image retrival system tag based image search is very important method to find out images uploaded by the social users in most of social websites that helps to make the result related ...
Social media provides most of the websites for example Facebook that allows users to describe their images with special tag. ...
RELATED WORK A.Boost Search Relevance For Tag-Based Social Image Retrieval. ...
doi:10.5281/zenodo.1411204
fatcat:mnyktqcwkjgs5drrgpxuaiye74
Personalized Tag based Image based Search Engines using clustering and similarity Indexing
2018
International Journal for Research in Applied Science and Engineering Technology
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In our proposed system, we propose image based personalized search engine in which the images will be searched according to specified query as well as user's profile and preferences. ...
The searched images will be categorized into different communities. The communities will be detected with the help of Affinity propagation clustering algorithm. ...
Boost Search Relevance for tag-Based Social Image Retrieval [3] 1) Author : Dong Liu, School of Computer Sci.& Tec., Harbin Institute of Technology, China 2) Publication: Multimedia and Expo, 2009. ...
doi:10.22214/ijraset.2018.3380
fatcat:qa7ppangrbfbjptyrxplecmody
Content-based tag processing for Internet social images
2010
Multimedia tools and applications
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This paper provides a comprehensive survey of the technical achievements in the research area of content-based tag processing for social images, covering the research aspects on tag ranking, tag refinement ...
An important feature of these services is that the users manually annotate their images with the freelychosen tags, which can be used as indexing keywords for image search and other applications. ...
For example, they will degrade precision and recall rates in tag-based image search. ...
doi:10.1007/s11042-010-0647-3
fatcat:7djlumhk6ncu5jymyae7ufp5ze
Unsupervised multi-feature tag relevance learning for social image retrieval
2010
Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10
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Using learned tag relevance as updated tag frequency for social image retrieval, both Borda Count and UniformTagger outperform retrieval without tag relevance learning and retrieval with single-feature ...
Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. ...
Comparing unsupervised multi-feature tag relevance learning with singlefeature cases for tag-based social image retrieval. ...
doi:10.1145/1816041.1816044
dblp:conf/civr/LiSW10
fatcat:sn775ukkjrbfppii24tjm23bnu
Tag Based Image Search By Social Re-Ranking In The Web Based Applications
2017
International Journal of MC Square Scientific Research
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Proposing a social re-ranking system for tag-based image retrieval with the consideration of image's relevance and diversity is done. ...
Tag-based image search is an important method to find images contributed by social users in such social websites. ...
Besides, polysemy and synonyms are the other causes of the query ambiguity Then there comes a tag-based image search approach with social re-ranking which systematically fuse the visual information, social ...
doi:10.20894/ijmsr.117.009.001.030
fatcat:4zmqjbninbcdrmzrxzqqv3zibu
Non-parametric kernel ranking approach for social image retrieval
2010
Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10
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Regular approaches for social image retrieval simply adopt typical text-based image retrieval techniques to search for the relevant social images based on the associated tags, which may suffer from noisy ...
In this paper, we address the research problem of text-based social image retrieval, which aims to identify and return a set of relevant social images that are related to a text-based query from a corpus ...
Text-based image retrieval aims to search for similar images relevant to a text-based query, in which each image is represented by a set of tags/keywords similar to a document. ...
doi:10.1145/1816041.1816047
dblp:conf/civr/ZhuangH10
fatcat:nvgulwh54nf6va2a2zcn7v4hdm
Social media mining and knowledge discovery
2014
Multimedia Systems
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to search relevant images for users. ...
With the popularity of social media applications, large amounts of social images associated with user tagging information are available, which can be leveraged to boost image retrieval performance. ...
to search relevant images for users. ...
doi:10.1007/s00530-014-0423-8
fatcat:y7wka2gc3nht3bwq6ojubauirq
Boosting image retrieval through aggregating search results based on visual annotations
2008
Proceeding of the 16th ACM international conference on Multimedia - MM '08
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image retrieval techniques to complement the text-based search. ...
When using a textual filter on the search space in combination with the aggregated approach an additional boost in retrieval performance is observed, which underlines the need for large scale content-based ...
H2: Tag-based search combined with content-based image retrieval, using visual annotations will improve the retrieval performance, in terms of precision. ...
doi:10.1145/1459359.1459386
dblp:conf/mm/OlivaresCZ08
fatcat:5ehhsdbdlbfwvaq4bn6z3ruzqm
Tag relevance fusion for social image retrieval
2014
Multimedia Systems
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2014 pre-print arXiv:1410.3462v1 fatcat:prvzh6hrsvhkrhc5jpuqbo3yli
Due to the subjective nature of social tagging, measuring the relevance of social tags with respect to the visual content is crucial for retrieving the increasing amounts of social-networked images. ...
Experiments on a large present-day benchmark set show that tag relevance fusion leads to better image retrieval. ...
Marcel Worring for their comments and suggestions on this work. ...
doi:10.1007/s00530-014-0430-9
fatcat:5z36n5pbjffmjc2aw3n3bamx5u
Boosting web video categorization with contextual information from social web
2011
World wide web (Bussum)
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Web video categorization is a fundamental task for web video search. ...
The model-based classifiers are built based on the text features extracted from title and tags. ...
Negative pseudo-relevance feedback based on a statistical model is proposed in [26] to improve the search performance for content-based video retrieval. ...
doi:10.1007/s11280-011-0129-1
fatcat:b754uyfdkrezvmjtnjo2uextra
Fisher Encoded Convolutional Bag-of-Windows for Efficient Image Retrieval and Social Image Tagging
2015
2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
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We test our method on two relevant computer vision tasks: image retrieval and image tagging. We report state-of-the art results for both tasks on three standard datasets. ...
We show how to use Fisher Vectors and PCA to obtain a short and highly descriptive signature that can be used effectively for image retrieval. ...
This work is partially supported by "THE SOCIAL MUSEUM AND SMART TOURISM", MIUR project no. CTN01 00034 23154 SMST. Tiberio Uricchio is supported by Telecom Italia PhD grant funds (Italy). ...
doi:10.1109/iccvw.2015.134
dblp:conf/iccvw/UricchioBSB15
fatcat:rug5ts3khnb4tdyr3hvmssj3pm
Context Aware Location Identification in Social Media Environment
2015
International Journal of Science and Research (IJSR)
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society and pose new challenges for the design of efficient search, mining, and visualization methods for manipulation. ...
The explosive growth of photos/videos and the advent of media sharing services have drastically increased the volume of user contributed multimedia resources, which bring profound social impacts to the ...
The tags with different relevance can benefit visual search performance and in turn improve the relevance in any social media application. ...
doi:10.21275/v4i11.nov151065
fatcat:74uzbph3jvb7za4u6fqx4ckrqi
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