Contributor: Erwin M. Bakker (LIACS Media Lab (LML), Leiden University, The Netherlands) is a researcher and lecturer on content based retrieval techniques,
artificial imagination, and bioinformatics. He was program chair of MIR 2008 and part of the organizing teams of CIVR. (Homepage: www.liacs.nl/~erwin)
In the early years of 2000, the field of multimedia retrieval was composed of special sessions at conferences and small workshops. There were no multimedia retrieval conferences. One of the leading workshops (B. Kerherve, V. Oria and S. Satoh) was the ACM SIGMM Workshop on Multimedia Information Retrieval (MIR) which was held with the ACM MM conference.
To have a central meeting for the scientific community, the International Conference on Image and Video Retrieval (CIVR) was founded in 2002 (J. Eakins, P. Enser, M. Graham, M.S. Lew, P. Lewis and A. Smeaton). Both meetings evolved over the next decade. CIVR and MIR became ACM SIGMM sponsored conferences and established reputations for high quality work.
In 2010, the steering committees of both CIVR and MIR voted to combine the two conferences toward unifying the communities and establishing the ACM flagship meeting for multimedia retrieval, the ACM International Conference on Multimedia Retrieval (ICMR). In 2013, ICMR was ranked by the Chinese Computing Federation as the #1 meeting in multimedia retrieval and the #4 meeting in the wide domain of Multimedia and Graphics.
For archival reasons, this is a summary of which papers had the most citations from ACM CIVR and ACM MIR (2008-2010), based on Google Scholar data in the period from February 17-18, 2014.
Google Scholar citations were used because they have wide coverage (ACM, IEEE, Springer, Elsevier, etc.), are publicly accessible and because they are being increasingly accepted by researchers for both paper citations estimates and computing the h-index.
The information below is given in the format of
Rank | Citations | Article-Information
CIVR 2008
- 173 – World-scale mining of objects and events from community photo collections
Till Quack, Bastian Leibe, Luc Van Gool
http://dl.acm.org/citation.cfm?id=1386363 - 81 – Analyzing Flickr groups
Radu Andrei Negoescu, Daniel Gatica-Perez
http://dl.acm.org/citation.cfm?id=1386406 - 70 – A comparison of color features for visual concept classification
Koen E.A. van de Sande, Theo Gevers, Cees G.M. Snoek
http://dl.acm.org/citation.cfm?id=1386376 - 68 – Language modeling for bag-of-visual words image categorization
Pierre Tirilly, Vincent Claveau, Patrick Gros
http://dl.acm.org/citation.cfm?id=1386388 - 46 – Multiple feature fusion by subspace learning
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Huang
http://dl.acm.org/citation.cfm?id=1386373
CIVR 2009
- 379 – NUS-WIDE: a real-world web image database from National University of Singapore
Tat-Seng Chua, Jinhui Tang, Richang Hong, Haojie Li, Zhiping Luo, Yantao Zheng
http://dl.acm.org/citation.cfm?id=1646452 - 124 – Evaluation of GIST descriptors for web-scale image search
Matthijs Douze, Hervé Jégou, Harsimrat Sandhawalia, Laurent Amsaleg, Cordelia Schmid
http://dl.acm.org/citation.cfm?id=1646421 - 81 – Real-time bag of words, approximately
J. R. R. Uijlings, A. W. M. Smeulders, R. J. H. Scha
http://dl.acm.org/citation.cfm?id=1646405 - 57 – Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features
Takahiko Furuya, Ryutarou Ohbuchi
http://dl.acm.org/citation.cfm?id=1646430 - 46 – Multilayer pLSA for multimodal image retrieval
Rainer Lienhart, Stefan Romberg, Eva Hörster
http://dl.acm.org/citation.cfm?id=1646408
CIVR 2010
- 43 – Signature Quadratic Form Distance
Christian Beecks, Merih Seran Uysal, Thomas Seidl
http://dl.acm.org/citation.cfm?id=1816105 - 41 – Feature detector and descriptor evaluation in human action recognition
Ling Shao, Riccardo Mattivi
http://dl.acm.org/citation.cfm?id=1816111 - 38 – Unsupervised multi-feature tag relevance learning for social image retrieval
Xirong Li, Cees G. M. Snoek, Marcel Worring
http://dl.acm.org/citation.cfm?id=1816044 - 29 – Co-reranking by mutual reinforcement for image search
Ting Yao, Tao Mei, Chong-Wah Ngo
http://dl.acm.org/citation.cfm?id=1816048 - Two papers were tied for 5th place in citations:
- 20 – On the sampling of web images for learning visual concept classifiers
Shiai Zhu, Gang Wang, Chong-Wah Ngo, Yu-Gang Jiang
http://dl.acm.org/citation.cfm?id=1816051 - 20 – Plant species identification using leaf image retrieval
Carlos Caballero, M. Carmen Aranda
http://dl.acm.org/citation.cfm?id=1816089
- 20 – On the sampling of web images for learning visual concept classifiers
MIR 2008
- 285 – The MIR flickr retrieval evaluation
Mark J. Huiskes, Michael S. Lew
http://dl.acm.org/citation.cfm?id=1460104 - 203 – Outdoors augmented reality on mobile phone using loxel-based visual feature organization
Gabriel Takacs, Vijay Chandrasekhar, Natasha Gelfand, Yingen Xiong, Wei-Chao Chen, Thanos Bismpigiannis, Radek Grzeszczuk, Kari Pulli, Bernd Girod
http://dl.acm.org/citation.cfm?id=1460165 - 119 – Learning tag relevance by neighbor voting for social image retrieval
Xirong Li, Cees G.M. Snoek, Marcel Worring
http://dl.acm.org/citation.cfm?id=1460126 - 58 – Spirittagger: a geo-aware tag suggestion tool mined from flickr
Emily Moxley, Jim Kleban, B. S. Manjunath
http://dl.acm.org/citation.cfm?id=1460102 - 42 – Content-based mood classification for photos and music: a generic multi-modal classification framework and evaluation approach
Peter Dunker, Stefanie Nowak, André Begau, Cornelia Lanz
http://dl.acm.org/citation.cfm?id=1460114
MIR 2010
- 82 – New trends and ideas in visual concept detection: the MIR flickr retrieval evaluation initiative
Mark J. Huiskes, Bart Thomee, Michael S. Lew
http://dl.acm.org/citation.cfm?id=1743475 - 78 – How reliable are annotations via crowdsourcing: a study about inter-annotator agreement for multi-label image annotation
Stefanie Nowak, Stefan Rüger
http://dl.acm.org/citation.cfm?id=1743478 - 45 – Exploring automatic music annotation with “acoustically-objective” tags
Derek Tingle, Youngmoo E. Kim, Douglas Turnbull
http://dl.acm.org/citation.cfm?id=1743400 - 39 – Feature selection for content-based, time-varying musical emotion regression
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
http://dl.acm.org/citation.cfm?id=1743431 - 34 – ACQUINE: aesthetic quality inference engine – real-time automatic rating of photo aesthetics
Ritendra Datta, James Z. Wang
http://dl.acm.org/citation.cfm?id=1743457