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Personalization in multimedia retrieval: A survey

Yijuan Lu, Nicu Sebe, Ross Hytnen, Qi Tian
2010 Multimedia tools and applications  
The goal of this survey is to give an overview of the current situation in the branches of research that are involved in annotation, relation and presentation to a user by preference.  ...  With the explosive broadcast of multimedia (text documents, image, video etc.) in our life, how to annotate, search, index, browse and relate various forms of information efficiently becomes more and more  ...  The work of Yijuan Lu was supported in part by the Research Enhancement Program (REP) and start-up funding from the Texas State University.  ... 
doi:10.1007/s11042-010-0621-0 fatcat:lopdnnydibfbtowpl2bicoswye

Interactive search in image retrieval: a survey

Bart Thomee, Michael S. Lew
2012 International Journal of Multimedia Information Retrieval  
However, this also means that finding an item of interest is increasingly difficult, a digital needle in the proverbial haystack.  ...  We are living in an Age of Information where the amount of accessible data from science and culture is almost limitless.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s)  ... 
doi:10.1007/s13735-012-0014-4 fatcat:gm5qzupaivcdbao437fdn6l54i

A Survey On Semantic Image Retrieval For Bigdata

Ms.N.N. Deepika, Dr. R. Madhumitha
2017 International Journal Of Engineering And Computer Science  
In this survey, homogeneous image data is retrieved by the proposed fuzzy logic based feedback weight adjustment scheme which will increase the score of the class which is more preferred by the users.  ...  Every day, millions of images are being generated, in that semantic Image retrieval is the most complex process in the real time scenario where the similarity finding would be more difficult in case of  ...  Also, textual annotations are language-dependent [17] . CBIR: Content Based Image Retrieval CBIR is considered as an active and a fast advancing research area.  ... 
doi:10.18535/ijecs/v6i3.21 fatcat:worc74lj6vas7i2dh4vbrctfo4

A Survey on Multimodal Video Representation for Semantic Retrieval

J. Calic, N. Campbell, S. Dasiopoulou, Y. Kompatsiaris
2005 EUROCON 2005 - The International Conference on "Computer as a Tool"  
A problem of adaptive representation of digital multimedia is critically assessed and some novel ideas are presented.  ...  This paper surveys the approaches to video representation, focusing on semantic analysis for content-based indexing and retrieval.  ...  ACKNOWLEDGEMENTS The work reported in this paper has formed part of the activity of the WG3 within IST COST292 action in semantic multimodal analysis of digital media whose funding and support is gratefully  ... 
doi:10.1109/eurcon.2005.1629877 fatcat:e25kjkfqx5fplht6rrnavhwy54

Semantic-Based Video Retrieval Survey

Shaimaa Toriah Mohamed Toriah, Atef Zaki Ghalwash, Aliaa A. A. Youssif
2018 Journal of Computer and Communications  
Video retrieval is a vital process in multimedia applications such as video search engines, digital museums, and video-on-demand broadcasting.  ...  In this paper, the different approaches of video retrieval are outlined and briefly categorized.  ...  In [17] , authors propose constructing large-scale concept ontology for multimedia (LSCOM). In LSCOM, hundreds of concepts have been annotated and released.  ... 
doi:10.4236/jcc.2018.68003 fatcat:qfep2py7ufhwxea7vazpujltja

Human-Machine Cooperation in Large-Scale Multimedia Retrieval: A Survey

Kimiaki Shirahama, Marcin Grzegorzek, Bipin Indurkhya
2015 Journal of Problem Solving  
Large-Scale Multimedia Retrieval (LSMR) is the task to fast analyze a large amount of multimedia data like images or videos and accurately find the ones relevant to a certain semantic meaning.  ...  By explaining basic terminologies in LSMR, we first survey several representative methods in chronological order.  ...  Such RF (or active learning) methods enable us to achieve accurate retrieval with reduced manual annotation effort. Figure 7 illustrates a typical RF based on an SVM.  ... 
doi:10.7771/1932-6246.1173 fatcat:hrjbuq4s4bbo7p5pmfrd6f3bva

A Survey On: "Content Based Image Retrieval Systems"

Nidhi Singhai, Shishir K. Shandilya
2010 International Journal of Computer Applications  
are becoming a source of exact and fast retrieval.  ...  In this paper the techniques of content based image retrieval are discussed, analysed and compared.  ...  With more and more multimedia information appear on the Internet and other digital multimedia as well as human beings' thirst for exact and fast retrieval,based on contents multimedia information retrieval  ... 
doi:10.5120/802-1139 fatcat:cyu3m23jevbshfr3rvqzm5w75u

A Survey of Content-Based Video Retrieval

P. Geetha, Vasumathi Narayanan
2008 Journal of Computer Science  
This study surveys current trends/methods in video retrieval.  ...  This work has done in an aim to assist the upcoming researchers in the field of video retrieval, to know about the techniques and methods available for video retrieval.  ...  , using query by example and the image can be annotated and interpreted in many ways.  ... 
doi:10.3844/jcssp.2008.474.486 fatcat:ntongqzelvdbtanlz4tuerzreq

Deep Learning for Instance Retrieval: A Survey [article]

Wei Chen, Yu Liu, Weiping Wang, Erwin Bakker, Theodoros Georgiou, Paul Fieguth, Li Liu, Michael S. Lew
2022 arXiv   pre-print
In this survey we review recent instance retrieval works that are developed based on deep learning algorithms and techniques, with the survey organized by deep network architecture types, deep features  ...  area in which improved efficiency and accuracy are needed for real-time retrieval.  ...  ACKNOWLEDGMENT The authors would like to thank the pioneer researchers in instance retrieval and other related fields.  ... 
arXiv:2101.11282v3 fatcat:qvodunmw4bdltcneadyt7d7h5m

A SURVEY ON CONTENT BASED VIDEO RETRIEVAL USING MPEG-7 VISUAL DESCRIPTORS

2017 International Journal of Advance Engineering and Research Development  
CBVR is desirable because earlier multimedia searches purely rely on metadata which in turn dependent on annotation quality and completeness.  ...  When humans manually annotate videos [4] [5] [6] [7] by entering keywords or metadata in a large database, it can become time consuming and may not capture the keywords desired to describe the video.  ...  The motion activity descriptor captures the intensity of action or pace of action in a video segment.  ... 
doi:10.21090/ijaerd.99438 fatcat:vbmr7awdf5ao5n677bwggbcq2a

Query Expansion Techniques for Information Retrieval: a Survey [article]

Hiteshwar Kumar Azad, Akshay Deepak
2017 arXiv   pre-print
This paper surveys QE techniques in IR from 1960 to 2017 with respect to core techniques, data sources used, weighting and ranking methodologies, user participation and applications (of QE techniques)  ...  It has also become very influential in the field of personalized social document, Question Answering over Linked Data (QALD), and, Text Retrieval Conference (TREC) and REAL sets.  ...  Carpineto, C., Romano, G.: A survey of automatic query expansion in information retrieval. ACM Computing Surveys (CSUR) 44(1), 1 (2012) 59.  ... 
arXiv:1708.00247v1 fatcat:42st2xre5ndejggyo7ighn2yau

A Survey on Visual Content-Based Video Indexing and Retrieval

Weiming Hu, Nianhua Xie, Li Li, Xianglin Zeng, S. Maybank
2011 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
This paper offers a tutorial and an overview of the landscape of general strategies in visual content-based video indexing and retrieval, focusing on methods for video structure analysis, including shot  ...  Video indexing and retrieval have a wide spectrum of promising applications, motivating the interest of researchers worldwide.  ...  [250] propose an active-learning method to annotate videos.  ... 
doi:10.1109/tsmcc.2011.2109710 fatcat:qtenus4htffcfbyuiwidgjojku

Recent Advance in Content-based Image Retrieval: A Literature Survey [article]

Wengang Zhou, Houqiang Li, Qi Tian
2017 arXiv   pre-print
The explosive increase and ubiquitous accessibility of visual data on the Web have led to the prosperity of research activity in image search or retrieval.  ...  Such a problem is challenging due to the intention gap and the semantic gap problems. Numerous techniques have been developed for content-based image retrieval in the last decade.  ...  IMAGE SCORING In multimedia retrieval, the target results in the index image database are assigned with a relevance score for ranking and then returned to users.  ... 
arXiv:1706.06064v2 fatcat:m52xwsw5pzfzdbxo5o6dye2gde

[Survey paper] A Review of Video Retrieval Based on Image and Video Semantic Understanding

Miki Haseyama, Takahiro Ogawa, Nobuyuki Yagi
2013 ITE Transactions on Media Technology and Applications  
Research trends in new video retrieval based on image and video semantic understanding are presented in this paper.  ...  Several works related to visualization interfaces for multimedia retrieval are also presented. Finally, trends in state-of-the-art studies and the future outlook are described.  ...  Survey Paper » A Review of Video Retrieval Based on Image and Video Semantic Understanding  ... 
doi:10.3169/mta.1.2 fatcat:dinab3a2zzgkbarjt752vr65vy

A survey of browsing models for content based image retrieval

Daniel Heesch
2008 Multimedia tools and applications  
approach and to focus attention on a few interesting issues that warrant more intense research.  ...  The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an automated search for relevant  ...  The introduction of relevance feedback into image retrieval has been an attempt to involve the user more actively and has turned the problem of learning feature weights into a supervised learning problem  ... 
doi:10.1007/s11042-008-0207-2 fatcat:j5wp624byvhjznjxjp5f5frhry
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