Access the full text.
Sign up today, get DeepDyve free for 14 days.
JW Kim, KS Candan, J Tatemura (2010)
Organization and tagging of blog and news entries based on content reuseJ Signal Process Syst, 58
M Simpson, D You, MM Rahman, Z Xue, D Demner-Fushman, S Antani, G Thoma (2015)
Literature-based biomedical image classification and retrievalComput Med Imaging Graphics, 39
YS Wang (2014)
Image tag recommendation algorithm using tensor factorizationJ Multimedia, 9
A Hotho, R Jaschke, C Schmitz, G Stumme (2006)
Information retrieval in folksonomies: search and rankingLect Notes Comput Sci, 4011
JA Russell (1980)
A circumplex model of affectJ Person Soc Psychol, 39
S Lindstaedt, R Mrzinger, R Sorschag, V Pammer, G Thallinger (2009)
Automatic image annotation using visual content and folksonomiesMultimedia Tools Appl, 42
L Wu, R Jin, AK Jain (2013)
Tag completion for image retrievalIEEE Trans Pattern Anal Mach Intell, 35
DM Blei, YN Andrew, IJ Michael (2003)
Latent dirichlet allocationJ Mach Learn Res, 3
J Liu, Y Zhang, Z Li, H Lu (2013)
Correlation consistency constrained probabilistic matrix factorization for social tag refinementNeurocomputing, 119
S Deerwester, S Dumais, T Landauer, G Furnas, R Harshman (1990)
Indexing by latent semantic analysisJ Am Soc Inf Sci, 41
A Savaris, T Hrder, A Wangenheim (2014)
DCMDSM: a DICOM decomposed storage modelJ Am Med Inf Assoc, 21
M Gupta, R Li, Z Yin, J Han (2010)
Survey on social tagging techniquesACM SIGKDD Explor Newslett, 12
G Semeraro, P Lops, MD Gemmis, C Musto, F Narducci (2012)
A folksonomy-based recommender system for personalized access to digital artworksJOCCH, 5
P Lamere (2008)
Social tagging and music information retrievalJ New Music Res, 37
S Lee, WD Neve, KN Plataniotis, YM Ro (2010)
MAP-based image tag recommendation using a visual folksonomyPattern Recognit Lett, 31
F Carmagnola, F Cena, O Cortassa, C Gena, I Torre (2007)
User modeling
A Nanopoulos, D Rafailidis, P Symeonidis, Y Manolopoulos (2010)
Musicbox: Personalized music recommendation based on cubic analysis of social tagsIEEE Trans Audio Speech Language Process, 18
C Leacock (1998)
WordNet: a lexical reference system and its application
M Kipp (2011)
Tagging of biomedical articles on CiteULike: a comparison of user, author and professional indexingKnowl Org, 38
P Ekman (1992)
An argument for basic emotionsCogn Emotion, 6
P Saari, T Eerola (2014)
Semantic computing of moods based on tags in social media of musicIEEE KDE, 26
I Cantador, I Konstas, JM Jose (2011)
Categorizing social tags to improve folksonomy-based recommendationsWeb semantics: science, services and agents on the World Wide Web, 9
Z Qian, P Zhong, R Wang (2015)
Tag refinement for user-contributed images via graph learning and nonnegative tensor factorizationIEEE Signal Process Lett, 22
L Chen, D Xu, IW Tsang, J Luo (2012)
Tag-based image retrieval improved by augmented features and group-based refinementIEEE Trans Multimedia, 14
Y Gao, M Wang, Z-J Zha, J Shen, X Li, X Wu (2013)
Visual-textual joint relevance learning for tag-based social image searchIEEE Trans Image Process, 22
D Liu, S Yan, XS Hua, HJ Zhang (2011)
Image retagging using collaborative tag propagationIEEE Trans Multimedia, 13
L Lathauwer, B Moor, J Vandewalle (2000)
A multilinear singular value decompositionSIAM J Matrix Anal Appl, 21
J Sang, C Xu, J Liu (2012)
User-aware image tag refinement via ternary semantic analysisIEEE Trans Multimedia, 14
J Fu, J Wang, Y Rui, XJ Wang, T Mei (2015)
Image tag refinement with view-dependent concept representationsIEEE Trans Circuits Syst Video Technol, 25
This paper aims to provide a comprehensive survey of tag-based information retrieval that covers three areas: tag-based document retrieval, tag-based image retrieval, and tag-based music information retrieval. First of all, seven representative graphical models associated with tag contents are reviewed and evaluated in terms of effectiveness in achieving their goals. The models are explored in depth based on appropriate plate notations for the tag-based document retrieval. Second, well-established review criteria for two-way classical methods, tag refinement and tag recommendation, are utilized for tag-based image retrieval. In particular, tag refinement methods are analyzed by means of the experimental results measured on different datasets. Last, popular tagging methods in the area of music information retrieval are reviewed for the tag-based music information retrieval. We introduce five criteria: used models, tagging purpose, tagging right, object type, and used dataset, for evaluating tag-based information retrieval methods as a new categorical framework engaging the graphical models as well as the two-way classical methods.
International Journal of Multimedia Information Retrieval – Springer Journals
Published: Dec 9, 2016
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.