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Slim Essid,
Xinyu Lin,
Marc Gowing,
Georgios Kordelas,
Anil Aksay,
Philip Kelly,
Thomas Fillon,
Qianni Zhang,
Alfred Dielmann,
Vlado Kitanovski,
Robin Tournemenne,
Aymeric Masurelle, Ebroul Izquierdo,
Noel E O'Connor,
Petros Daras,
Gaël Richard
Journal on Multimodal User Interfaces 01/2012;
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18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, September 11-14, 2011; 01/2011
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Marc Gowing,
Philip Kelly,
Noel E. O'Connor,
Cyril Concolato,
Slim Essid,
Jean Le Feuvre,
Robin Tournemenne, Ebroul Izquierdo,
Vlado Kitanovski,
Xinyu Lin,
Qianni Zhang
Proceedings of the 19th International Conference on Multimedea 2011, Scottsdale, AZ, USA, November 28 - December 1, 2011; 01/2011
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Multimedia Tools Appl. 01/2010; 48:23-49.
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Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, MIR 2010, Philadelphia, Pennsylvania, USA, March 29-31, 2010; 01/2010
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Thanos Athanasiadis,
Nikolaos Simou,
Georgios Papadopoulos,
Rachid Benmokhtar,
Krishna Chandramouli,
Vassilis Tzouvaras,
Vasileios Mezaris,
Marios Phiniketos,
Yannis Avrithis,
Yiannis Kompatsiaris,
Benoit Huet, Ebroul Izquierdo
[show abstract]
[hide abstract]
ABSTRACT: In this paper we propose a methodology for semantic indexing of images, based on techniques of image segmentation, classification
and fuzzy reasoning. The proposed knowledge-assisted analysis architecture integrates algorithms applied on three overlapping
levels of semantic information: i) no semantics, i.e. segmentation based on low-level features such as color and shape, ii)
mid-level semantics, such as concurrent image segmentation and object detection, region-based classification and, iii) rich
semantics, i.e. fuzzy reasoning for extraction of implicit knowledge. In that way, we extract semantic description of raw
multimedia content and use it for indexing and retrieval purposes, backed up by a fuzzy knowledge repository. We conducted
several experiments to evaluate each technique, as well as the whole methodology in overall and, results show the potential
of our approach.
01/2009: pages 263-274;
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User Centric Media - First International Conference, UCMedia 2009, Venice, Italy, December 9-11, 2009, Revised Selected Papers; 01/2009
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Database and Expert Systems Applications, DEXA, International Workshops, Linz, Austria, August 31-September 4, 2009, Proceedings; 01/2009
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Thanos Athanasiadis,
Nikos Simou,
Georgios Th. Papadopoulos,
Rachid Benmokhtar,
Krishna Chandramouli,
Vassilis Tzouvaras,
Vasileios Mezaris,
Marios Phiniketos,
Yannis S. Avrithis,
Yiannis Kompatsiaris,
Benoit Huet, Ebroul Izquierdo
Advances in Multimedia Modeling, 15th International Multimedia Modeling Conference, MMM 2009, Sophia-Antipolis, France, January 7-9, 2009. Proceedings; 01/2009
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[show abstract]
[hide abstract]
ABSTRACT: In recent years, there is an emerging interest to analyse and exploit the log data recorded from different user interactions for minimising the semantic gap problem from multi-user collaborative environments. These systems are referred as ldquocollaborative image retrieval systemsrdquo. In this paper, we present an approach for collaborative image retrieval using multiclass relevance feedback. The relationship between users and concepts is derived using Lin Semantic similarity measure from WordNet. Subsequently, the particle swarm optimisation classifier based relevance feedback is used to retrieve similar documents. The experimental results are presented on two well-known datasets namely Corel 700 and Flickr Image dataset. Similarly, the performance of the Particle Swarm Optimised retrieval engine is evaluated against the Genetic Algorithm optimised retrieval engine.
10th Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009, London, United Kingdom, May 6-8, 2009; 01/2009
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International Conference on Computer Science and Software Engineering, CSSE 2008, Volume 5: E-learning and Knowledge Management / Socially Informed and Instructinal Design / Learning Systems Platforms and Architectures / Modeling and Representation / Other Applications , December 12-14, 2008, Wuhan, China; 01/2008
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Proceedings of the International Conference on Image Processing, ICIP 2008, October 12-15, 2008, San Diego, California, USA; 01/2008
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Peter Wilkins,
Daragh Byrne,
Gareth J. F. Jones,
Hyowon Lee,
Gordon Keenan,
Kevin McGuinness,
Noel E. O'Connor,
Neil O'Hare,
Alan F. Smeaton,
Tomasz Adamek, [......],
Andreas Cobet,
Thomas Sikora,
Pavel Praks,
David Hannah,
Martin Halvey,
Frank Hopfgartner,
Robert Villa,
P. Punitha,
Anuj Goyal,
Joemon M. Jose
TRECVID 2008 workshop participants notebook papers, Gaithersburg, MD, USA, November 2008; 01/2008
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Peter Wilkins,
Tomasz Adamek,
Daragh Byrne,
Gareth J. F. Jones,
Hyowon Lee,
Gordon Keenan,
Kevin McGuinness,
Noel E. O'Connor,
Alan F. Smeaton,
Alia Amin, [......],
Werner Bailer,
Tomas Piatrik,
Krishna Chandramouli, Ebroul Izquierdo,
Martin Haller,
Lutz Goldmann,
Amjad Samour,
Andreas Cobet,
Thomas Sikora,
Pavel Praks
TRECVID 2007 workshop participants notebook papers, Gaithersburg, MD, USA, November 2007; 01/2007
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Qianni Zhang,
Krishna Chandramouli,
Uros Damnjanovic,
Tomas Piatrik, Ebroul Izquierdo,
Marzia Corvaglia,
Nicola Adami,
Riccardo Leonardi,
G. Yakin,
S. Aksoy, [......],
Yannis S. Avrithis,
Branimir Reljin,
Goran Zajic,
António M. G. Pinheiro,
L. A. Alexandre,
P. Almeida,
Roman Jarina,
Michal Kuba,
Naiara Aginako,
J. Goya
TRECVID 2007 workshop participants notebook papers, Gaithersburg, MD, USA, November 2007; 01/2007
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[show abstract]
[hide abstract]
ABSTRACT: Particle swarm optimization is one of several meta-heuristic algorithms inspired by biological systems. The chaotic modeling of particle swarm optimization is presented in this paper with application to image classification. The performance of this modified particle swarm optimization algorithm is compared with standard particle swarm optimization. Numerical results of this comparative study are performed on binary classes of images from the Corel dataset
Proceedings of the International Conference on Image Processing, ICIP 2006, October 8-11, Atlanta, Georgia, USA; 01/2006
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Poster and Demo Proceedings of the 1st International Conference on Semantic and Digital Media Technologies, Athens, Greece, December 6-8, 2006; 01/2006
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IEEE Transactions on Multimedia. 01/2002; 4:97-113.
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01/2000
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Multimedia Applications, Services and Techniques - ECMAST'99, 4th European Conference, Madrid, Spain, May 1999, Proceedings; 01/1999