Curriculum Vitae Dr. Dimitrios K. Tzovaras



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[J9] D.Tzovaras, S.Vachtsevanos, M.G.Strintzis, “Optimization of Quadtree Segmentation and Hybrid Two-Dimensional and Three-Dimensional Motion Estimation in a Rate-Distortion Framework”, IEEE Journal on Selected Areas in Communications, Vol. 15, No. 9, pp. 1726-1738, December 1997. (5 citations)


  1. Mathew, R., & Taubman, D. S. (2011). Scalable Modeling of Motion and Boundary Geometry With Quad-Tree Node Merging. Circuits and Systems for Video Technology, IEEE Transactions on, 21(2), 178-192.

  2. Mathew, R., & Taubman, D. S. (2010). Quad-tree motion modeling with leaf merging. Circuits and Systems for Video Technology, IEEE Transactions on, 20(10), 1331-1345.

  3. Jensen, M. V., & Nielsen, B. Design and Implementation of an E cient, Layered Video Codec for Heterogeneous Networks.

  4. An improved, wavelet-based, stereoscopic image sequence codec with SNR and spatial scalability
    SK Nath, E Dubois - Signal Processing: Image Communication, 2006 – Elsevier, Page 1. Signal Processing: Image Communication 21 (2006) 181–199 An improved, wavelet-based, stereoscopic image sequence codec

  5. Jolon Faichney, “Handheld Mobile Video Conferencing’’, Dissertation Thesis, BIT for the Degree of Bachelor of Information Technology (Honours) in the Faculty of Information and Communication Technology Griffith University.

[C78] Moustakas, K., Tzovaras, D., & Strintzis, M. G. (2004, September). A non causal bayesian framework for object tracking and occlusion handling for the synthesis of stereoscopic video. In 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004. Proceedings. 2nd International Symposium on (pp. 147-154). IEEE. (5 citations)




  1. Bagherpour, Pouya, Seyed Ali Cheraghi, and Musa bin Mohd Mokji. "Upper Body Tracking Using KLT and Kalman Filter." Procedia Computer Science 13 (2012): 194-200.

  2. Nott, V. K. (2009). Joint Visual and Wireless Tracking System.

  3. Joint Visual and Wireless Tracking System, VK Nott, University of Kentucky, March 2009.

  4. X. Jiang and M. Lambers, “DIBR-based 3D Videos Using non Video Rate Range Image Stream”, IEEE International Conference on Multimedia and Expo, ICME ’06, pp. 1873-1876, 2006.

  5. X. Jiang and M. Lambers, “Synthesis of Stereoscopic 3D Videos by Limited Resources of Range Images” in Proc. Int. Conf. on Pattern Recognition (ICPR), pp. 1220-1224, 2006.

[C105] P. Daras, D. Zarpalas, D. Tzovaras and M.G. Strintzis: "3D Shape-Based Techniques for Protein Classification", IEEE International Conference on Image Processing (ICIP 2005), Vol-II, pp. 1130-1133, Genova, Italy, September 2005. (5 citations)




  1. Wang, J., Gao, X., Wang, Q., & Li, Y. (2012). ProDis-ContSHC: learning protein dissimilarity measures and hierarchical context coherently for protein-protein comparison in protein database retrieval. BMC bioinformatics, 13(Suppl 7), S2.

  2. Roberts, C. (2012). SPATIO–TEMPORAL ANALYSIS OF CHANGES OF SHAPE FOR CONSTITUENT BODIES WITHIN BIOMOLECULAR AGGREGATES (Doctoral dissertation, University of East Anglia).

  3. Class Conditional Distance Metric for 3D Protein Structure Classification, Jingyan Wang;   Yongping Li;   Ying Zhang;   Ning Tang;   Chao Wang, Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on, Issue Date: 10-12 May 2011, On page(s): 1 – 4, Location: Wuhan, ISSN: 2151-7614

  4. The Application of 3D Zernike Moments for the Description of “Model-Free” Molecular Structure, Functional Motion, and Structural Reliability, Scott Grandison, Carl Roberts, Richard J. Morris. Journal of Computational Biology. March 2009, 16(3): 487-500. doi:10.1089/cmb.2008.0083.

  5. Potential for Protein Surface Shape Analysis Using Spherical Harmonics and 3D Zernike Descriptors, Vishwesh Venkatraman, Lee Sael and Daisuke Kihara, Cell Biochemistry and Biophysics, Volume 54, Numbers 1-3 / July, 2009.

[J41] K. Moustakas, D. Tzovaras, S. Carbini, O. Bernier, J.E. Viallet, S. Raidt, M. Mancas, M. Dimiccoli, E. Yagci, S. Balci, E.I. Leon and M.G. Strintzis, “MASTERPIECE: Physical Interaction and 3D content-based search in VR Applications”, IEEE Multimedia Magazine, vol. 13, no. 3, pp. 92-100, July 2006. (5 citations)




  1. Lai, W. E. I., & Huosheng, H. U. (2011). Towards Multimodal Human-Machine Interface for Hands-free Control: A survey.

  2. C.-S. Wang and S.-S. Kao, “An Intuitional 3D Virtual Navigation System Supporting Motion and Voice Commands”, Internet and Multimedia Systems and Applications (IMSA 2008), Kailua-Kona, USA, 2008.

  3. R. Guerchouche, O. Bernier, T. Zaharia, “Multiresolution volumetric 3D object reconstruction for collaborative interactions”, Pattern Recognition and Image Analysis vol. 18, no. 4, pp. 621-637, 2008.

  4. A 3D interactive Kiosk System, Corey manders, Farzam Farbiz, Chong Jyh Herng, tang Ka Yin, Proceedings of the 5th International Conference on Computer Graphics, virtual reality, visualisation and interaction in Africa, pp47-52,2007

  5. A multimodal augmented reality DJ music system, Farbiz.F., Ka Yin Tang Manders, C.Chong Jyh Herng, Yeow Kee Tan, Kejian Wang, Information Communications & signal Procesing, 2007 6th International Conference on, 10-13 Dec2007, pp1-5.

[C145] Daras, P., Tzovaras, D., Dobravec, S., Trnkoczy, J., Sanna, A., Paravati, G., & Wintterle, G. J. (2008, November). Victory: a 3d search engine over p2p and wireless p2p networks. In Proceedings of the 4th Annual International Conference on Wireless Internet (p. 49). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). (5 citations)




  1. Scherer, M., Bernard, J., & Schreck, T. (2011, June). Retrieval and exploratory search in multivariate research data repositories using regressional features. In Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries (pp. 363-372). ACM.

  2. Asif, M. (2011). Long-term Preservation of Three Dimensional Digital Drawings and Maps.

  3. Berndt, R., Blümel, I., Clausen, M., Damm, D., Diet, J., Fellner, D., ... & Wessel, R. (2010). The PROBADO Project-Approach and Lessons Learned in Building a Digital Library System for Heterogeneous Non-textual Documents. Research and Advanced Technology for Digital Libraries, 376-383.

  4. Berndt, R., Blümel, I., Clausen, M., Damm, D., Diet, J., Fellner, D., ... & Wessel, R. (2010). Aufbau einer verteilten digitalen Bibliothek für nichttextuelle Dokumente-Ansatz und Erfahrungen des PROBADO Projekts. 20 Mitg, 219.

  5. Cataldo, A., & Rinaldi, A. M. (2009). Sharing Ontology in Complex Scenario using a Peer-To-Peer Approach. International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), 1, 92-109.


[C63] S. Diplaris, N. Grammalidis, D. Tzovaras and M.G. Strintzis: "Generation of Stereoscopic Image Sequences Using Structure and Rigid Motion Estimation By Extended Kalman Filters", IEEE International Conference on Multimedia and Expo, Lausanne, Switzerland, August 2002. (5 citations)


  1. Video Stereolization: Combining Motion Analysis with User Interaction, Liao, M.;   Gao, J.;   Yang, R.;   Gong, M., Visualization and Computer Graphics, IEEE Transactions on, Volume: PP Issue:99, On page(s): 1 – 1, ISSN: 1077-2626, June 2011

  2. Three-Dimensional Video Postproduction and Processing, Smolic, A.;   Kauff, P.;   Knorr, S.;   Hornung, A.;   Kunter, M.;   Müller, M.;   Lang, M., Proceedings of the IEEE, Issue Date: April 2011, Volume: 99 Issue:4, On page(s): 607 – 625, ISSN: 0018-9219.

  3. Kim, D., Min, D., & Sohn, K. (2008). A stereoscopic video generation method using stereoscopic display characterization and motion analysis. Broadcasting, IEEE Transactions on, 54(2), 188-197.

  4. Wu, C., Er, G., Xie, X., Li, T., Cao, X., & Dai, Q. (2008, May). A novel method for semi-automatic 2D to 3D video conversion. In 3DTV Conference: The True Vision-Capture, Transmission and Display of 3D Video, 2008 (pp. 65-68). IEEE.

  5. Kim, D., Min, D., & Sohn, K. (2007, May). Stereoscopic video generation method using motion analysis. In 3DTV Conference, 2007 (pp. 1-4). IEEE.


[J73] Giakoumis, D., Tzovaras, D., Moustakas, K., & Hassapis, G. (2011). Automatic recognition of boredom in video games using novel biosignal moment-based features. Affective Computing, IEEE Transactions on, 2(3), 119-133. (13 citations)


  1. Cummings, M. L., Gao, F., & Thornburg, K. M. (2015). Boredom in the Workplace A New Look at an Old Problem. Human Factors: The Journal of the Human Factors and Ergonomics Society, 0018720815609503.

  2. Vachiratamporn, V., Legaspi, R., Moriyama, K., Fukui, K. I., & Numao, M. (2015). An analysis of player affect transitions in survival horror games. Journal on Multimodal User Interfaces, 9(1), 43-54.

  3. Gokay, R., Masazade, E., Aydin, C., & Erol-Barkana, D. (2015, September). Emotional state and cognitive load analysis using features from BVP and SC sensors. In Multisensor Fusion and Integration for Intelligent Systems (MFI), 2015 IEEE International Conference on (pp. 178-183). IEEE.

  4. Schiavo, G., Cappelletti, A., & Zancanaro, M. (2014). Engagement recognition using easily detectable behavioral cues. Intelligenza Artificiale, 8(2), 197-210.

  5. Monge, M. M., Gomez, I., & Molina, A. (2014). Robustness of Parameters from Heart Rate for Mental Stress Detection. Exp Clin Cardiol, 20(8), 3509-3517.

  6. Wen, W., Liu, G., Cheng, N., Wei, J., Shangguan, P., & Huang, W. (2014). Emotion Recognition Based on Multi-Variant Correlation of Physiological Signals. Affective Computing, IEEE Transactions on, 5(2), 126-140.

  7. Huang, W., Liu, G., & Wen, W. (2014, December). MAPD: A Multi-subject Affective Physiological Database. In Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on (Vol. 2, pp. 585-589). IEEE.

  8. Keary, A., & Walsh, P. (2014, November). How affective computing could complement and advance the quantified self. In Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on (pp. 24-31). IEEE.

  9. Martinez, Héctor Perez, Yoshua Bengio, and Georgios N. Yannakakis. "Learning Deep Physiological Models of Affect." Computational Intelligence Magazine, IEEE 8.2 (2013): 20-33.

  10. Kivikangas, J., and Niklas Ravaja. "Emotional Responses to Victory and Defeat as a Function of Opponent." IEEE Transactions on Affective Computing, (Volume:4 , Issue: 2 ) (2013)

  11. Wyeth, Peta, Daniel Johnson, and Penny Sweetser. "Conceptualising, Operationalising and Measuring the Player Experience in Videogames." (2012).

  12. Novak, Domen, Matjaž Mihelj, and Marko Munih. "A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing." Interacting with Computers (2012).

  13. Biofeedback in Virtual Reality Applications and Gaming, Iancovici, T. and Osorio, S. and Rosario Jr, B., Massachusetts, University of Massachusetts, http://ebookbrowse. com/virtual-reality-applications-pdf-d79637512 [04-11-11].

[J67] Georgios Stavropoulos, Panagiotis Moschonas, Konstantinos Moustakas, Dimitrios Tzovaras and Michael Gerassimos Strintzis, “3-D Model Search and Retrieval From Range Images Using Salient Features”, IEEE Transactions on Multimedia, Vol. 12, No. 7, November 2010 (13 citations)




  1. Riley, K. C., Woodard, J. P., Hwang, G. M., & Punyasena, S. W. (2015). Progress towards establishing collection standards for semi-automated pollen classification in forensic geo-historical location applications. Review of Palaeobotany and Palynology, 221, 117-127.

  2. Li, H., Liu, X., Cai, Q., & Du, J. (2015). 3D Objects Feature Extraction and Its Applications: A Survey. In Transactions on Edutainment XI (pp. 3-18). Springer Berlin Heidelberg.

  3. Liu, Z., Bu, S., & Han, J. (2015). Locality-constrained sparse patch coding for 3d shape retrieval. Neurocomputing, 151, 583-592.

  4. Guo, Y., Sohel, F., Bennamoun, M., Wan, J., & Lu, M. (2014). An accurate and robust range image registration algorithm for 3D object modeling. Multimedia, IEEE Transactions on, 16(5), 1377-1390.

  5. Sfikas, K., Pratikakis, I., Koutsoudis, A., Savelonas, M., & Theoharis, T. (2014). Partial matching of 3D cultural heritage objects using panoramic views. Multimedia Tools and Applications, 1-15.

  6. Chen, J. Y., Lin, C. H., Hsu, P. C., & Chen, C. H. (2014). Point cloud encoding for 3D building model retrieval. Multimedia, IEEE Transactions on, 16(2), 337-345.

  7. Zou, K. S., Ip, W. H., Wu, C. H., Chen, Z. Q., Yung, K. L., & Chan, C. Y. (2014). A novel 3D model retrieval approach using combined shape distribution. Multimedia tools and applications, 69(3), 799-818.

  8. Barra, Vincent, and Silvia Biasotti. "3D shape retrieval using Kernels on Extended Reeb Graphs." Pattern Recognition (2013).

  9. Zou, Kuan-Sheng, et al. "Shape-based retrieval and analysis of 3D models using fuzzy weighted symmetrical depth images." Neurocomputing (2012).

  10. Sfikas, Konstantinos, Ioannis Pratikakis, and Theoharis Theoharis. "3D Object Retrieval via Range Image Queries based on SIFT descriptors on Panoramic Views." Eurographics 2012 Workshop on 3D Object Retrieval. The Eurographics Association, 2012.

  11. Zou, Kuan-Sheng, et al. "A novel 3D model retrieval approach using combined shape distribution." Multimedia Tools and Applications (2012): 1-20.

  12. Bayramoğlu, Neslihan, and A. Aydın Alatan. "Lossless description of 3D range models." Proc. of SPIE-IS&T Electronic Imaging Vol 8305 (2012): 83050B.

[J16] I. Kompatsiaris, D. Tzovaras, M. G. Strintzis, “Flexible 3D Motion Estimation and Tracking for Multiview Image Sequence Coding”, Signal Processing-Image Communication, Vol. 14, No. 1-2, pp. 95-110, Nov. 1998. (4 citations)




  1. Detecting, Tracking & Classifying Human Movement using Active Contour Models and Neural Networks, Ken Tabb, Neil Davey, Rod Adams & Stella George, Detecting, tracking and classifying human movement using active contour models and neural networks. In innovations in Intelligent Systems, edited by Abraham A., Jain. L. & van der Zwaag, B., Physica (Springer) Verlag, pp. 343-360, 2004

  2. J. Lee and H. Yang, “A Face Motion Estimation Method including Rigid and Non-Rigid Motion Simultaneously”, Int’l Workshop on Advanced Image Technology, Daejon, Korea, Feb 2001

  3. D. Butler and S. Sridharan, “Development of a Low Cost, Model-Based Video Coding System Using Stereo Vision”, Workshop on Stereo Image and Video Processing (WSIVP), Sydney, Australia, Dec. 2000.

  4. T. Naemura, M. Kaneko, H. Harashima, “Compression and Representation of 3-D Images”, IEICE Transactions on Information and Systems, Vol. E82D No. 3, pp. 558-567, Mar. 1999

[C79] G. Nikolakis, I. Tsampoulatidis, D. Tzovaras and M.G.Strintzis: "Haptic Browser: A Haptic Environment to Access HTML Pages", proceedings of the 9-th International Conference 'Speech and Computer' (SPECOM'2004) St. Petersburg, September 2004 (4 citations)




  1. Comai, Sara, and Davide Mazza. "Integrating Haptics in Web Interfaces: State of the Art and Open Issues." (2012): 1-1.

  2. Evaluation of Haptic HTML Mappings Derived from a Novel Methodology, RAVI KUBER, UMBC, WAI YU, Thales, M. SILE O’MODHRAIN, Queen’s University Belfast, Journal ACM Transactions on Accessible Computing (TACCESS) archive Volume 3 Issue 4, April 2011, ACM New York, NY, USA

  3. Zhu, S., Kuber, R., Tretter, M., & Sile O’Modhrain, M. (2011). Identifying the effectiveness of using three different haptic devices for providing non-visual access to the web. Interacting with Computers.

  4. Alamri, Atif Eid, Mohamad El Saddik, Abdulmotaleb , “A Haptic Enabled UML Case Tool”, Multimedia and Expo, 2007 IEEE International Conference, Publication Date: 2-5 July 2007, On page(s): 1023-1026

[C112] K. Moustakas, G. Nikolakis, D. Tzovaras, B. Deville, I. Marras and J. Pavlek, "Multimodal Tools and Interfaces for the Intercommunication Between Visually Impaired and "Deaf and Mute" People", Proceedings of the eNTERFACE 2006, Dubrovnik, August, 2006. (4 citations)




  1. Apolonio, S. O., de Deus, L. C., Borges, M. R., & Vivacqua, A. A Collaborative Approach for Supporting Interaction among Hearing Impaired and Listeners.

  2. Liu, J., & Kavakli, M. (2010, July). A survey of speech-hand gesture recognition for the development of multimodal interfaces in computer games. In Multimedia and Expo (ICME), 2010 IEEE International Conference on (pp. 1564-1569). IEEE.

  3. Bernsen, N. O., & Dybkjær, L. (2010). Intermezzo 1: Three Multimodal Cases.Multimodal Usability, 21-23.

  4. Niels Ole Bernsen,, Laila Dybkjær, “Multimodal Usability, Human-Computer Interaction Series”, Springer, ISBN: 978-1-84882-552-9, 2010


[C71] Nikolakis, G., Fergadis, G., Tzovaras, D., & Strintzis, M. (2004). A mixed reality learning environment for geometry education. Methods and Applications of Artificial Intelligence, 93-102. (5 citations)


  1. Mateu, J., Lasala, M. J., & Alamán, X. (2015). Developing Mixed Reality Educational Applications: The Virtual Touch Toolkit. Sensors, 15(9), 21760-21784.

  2. Lai, D., & Sourin, A. (2011, December). Visual immersive mathematics in 3D web. In Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry (pp. 519-526). ACM.

  3. Korakakis, G., Pavlatou, E. A., Palyvos, J. A., & Spyrellis, N. (2009). 3D visualization types in multimedia applications for science learning: A case study for 8th grade students in Greece. Computers & Education, 52(2), 390-401.

  4. Huk, T. (2006). Who benefits from learning with 3D models? The case of spatial ability. Journal of Computer Assisted Learning, 22(6), 392-404.

  5. Aguilera, E. J. G., Bernsen, N. O., Rodríguez, S., Bescós, L. D., Fanard, F. X., Correa, P., ... & Vanderdonckt, J. (2004). Project ref. no. FP6-507609 Project acronym SIMILAR Deliverable status R Contractual date of delivery.

[C100] Papadogiorgaki, M., Grammalidis, N., Tzovaras, D., & Strintzis, M. G. Text-to-sign language synthesis tool. 13th European Signal Processing Conference (EUSIPCO2005), Antalya, Turkey, September 2005 (4 citations)




  1. Narashiman, D., Vidhya, S., & Mala, T. TAMIL NOUN TO SIGN LANGUAGE A MACHINE TRANSLATION APPROACH.

  2. Smith, R., Morrissey, S., & Somers, H. (2010). HCI for the Deaf community: Developing human-like avatars for sign language synthesis.

  3. Power, D., & Power, M. R. (2009). Communication and culture: signing deaf people online in Europe. Technology and Disability, 21(4), 127-134.

  4. Shirali-Shahreza, M., & Shirali-Shahreza, S. (2008, July). Encouraging Persons with Hearing Problem to Learn Sign Language by Internet Websites. In Advanced Learning Technologies, 2008. ICALT'08. Eighth IEEE International Conference on (pp. 1036-1037). IEEE.


[C35] D. Tzovaras, N. Karagiannis, and M. G. Strintzis, "Robust image watermarking in the subband or discrete cosine transform domain," in Proc. 9th European Signal Processing Conf. (EUSIPCO '98), Rhodes, Greece, Sept. 8--11, 1998, pp. 2285-2288. (4 citations)


  1. Ukasha, Ali Abdrhman M. "Contour Compression of Image Watermarking using DCT Transform & Ramer Method." 2nd International Conference on Mechanical, Electronics and Mechatronics Engineering (ICMEME'2013) June 17-18, 2013 London (UK).

  2. Yan, W., & Weir, J. (2010). Fundamentals of Media Security.

  3. Petitcolas-FAP Anderson-RJ Kuhn-MG, ``Information Hiding - A Survey’’, PROCEEDINGS OF THE IEEE 1999, Vol 87, Iss 7, pp 1062-1078

  4. M. Kutter, F. A. P. Petitcolas, "A fair benchmark for image watermarking systems," in Proc. SPIE Security and Watermarking of Multimedia Contents, San Jose, CA, USA, Jan. 1999, vol. 3657, pp. 226--239.

[C46] G.A. Triantafyllidis, D. Tzovaras, M.G. Strintzis, “Blockiness detection in compressed data,” IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 3, 1533-1536, 2001 (4 citations)




  1. Zhou, Tong. "An Improved Video Mosaic Block Detection Method on the Statistics of Pixel Difference across the Boundary of Macroblock and Suspected Mosaic Blocks." Applied Mechanics and Materials 263 (2013): 365-370.

  2. Dong, Q., Zhou, T., & Xiao, J. (2012, July). An Improved Video Mosaic Block Detection Method Considering the Boundary of Macroblock. In Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2012 Eighth International Conference on (pp. 195-198). IEEE.

  3. Gunawan, I. P., & Halim, A. No-Reference JPEG Image Quality Assessment Using Haar Wavelet Decomposition.

  4. Nitin Suresh, "Mean Time Between Visible Artifacts in Visual Communications", PhD Thesis School of Electrical and Computer Engineering Georgia Institute of Technology, August 2007

[C97] K. Moustakas, D. Tzovaras, S. Carbini, O. Bernier, J.E. Viallet, S. Raidt, M. Mancas, M. Dimiccoli, E. Yagci, S. Balci and E.I. Leon, “MASTER-PIECE: A Multimodal (Gesture+Speech) Interface for 3D Model Search and Retrieval Integrated in a Virtual Assembly Application”, Proceedings of the eNTERFACE 2005, pp. 62-75, August 2005. (4 citations)




  1. Wan, Gary Gang, and Zao Liu. "Content-based information retrieval and digital libraries." Information Technology and Libraries 27.1 (2013): 41-47.

  2. Liu, Jing, and M. Kavakli. "Temporal Relation between Speech and Co-verbal Iconic Gestures in Multimodal Interface Design." Retrieved April (2012).

  3. Toma, Mădălina Ioana, Florin Gîrbacia, and Csaba Antonya. "A comparative evaluation of human interaction for design and assembly of 3D CAD models in desktop and immersive environments." International Journal on Interactive Design and Manufacturing (2012): 1-15..

  4. G. Wan and Z. Liu, “Content-Based Information Retrieval and Digital Libraries”, Information Technology and Libraries, pp. 41-47, March 2008.

[J48] D. Tzovaras, K. Moustakas, G. Nikolakis and M.G. Strintzis, "Interactive Mixed Reality White Cane Simulation for the Training of the Blind and the Visually Impaired", International Journal on Personal and Ubiquitous Computing, Publisher Springer London, Vol.13, No1, Jan 2009, ISSN 1617-4909(Print)-16174917(Online), 10.1007/s00779-007-0171-2. (5 citations)




  1. Edey, J. K., Seaborn, K., Branje, C., & Fels, D. (2014, October). Powered to play: A mixed reality game for people driving powered chairs. In Games Media Entertainment (GEM), 2014 IEEE (pp. 1-8). IEEE.

  2. Espinoza Vivanco, Matías Daniel. "Videojuego para la construcción de un modelo mental de un sistema de referencias para personas ciegas." (2013).

  3. Kim, S. J. (2010). An Environmental User Interface (EUI) Framework to Convey Environmental Contexts In Interactive Systems Design (Doctoral dissertation, The Virginia Polytechnic Institute and State University).

  4. Designing 3 Dimensional Virtual Reality Using Panoramic Image, Wan Norazlinawati Wan Abd Arif1, Wan Fatimah Wan Ahmad, Shahrina Md. Nordin, Azrai Abdullah, and Subarna Sivapalan, H. Badioze Zaman et al. (Eds.): IVIC 2009, LNCS 5857, pp. 404–414, 2009.© Springer-Verlag Berlin Heidelberg 2009

  5. S Uppalapati, JC Femiani, A Razdan, K Gary, “3D VQI: 3D Visual Query Interface”, Sixth International Conference on Information Technology: New Generations, 2009.

[J44] G. Damousis, D. Tzovaras, M. G. Strintzis, "A Fuzzy Expert System for the Early Warning of Accidents Due to Driver Hypo-Vigilance", Personal and Ubiquitous Computing, April 25, 2009, ISSN 1617-4909 (Print) 1617-4917 (Online), Springer London. (5 citations)




  1. Zong-wei, X. U. E., Li-dong, W. A. N. G., Cong-tao, Y. A. N. G., Zhe, L. I. U., & Wei-dong, F. E. I. (2015). Effects of thermal cycling on thermal expansion behaviors of b-LiAlSiO 4. The Chinese Journal of Nonferrous Metals, 21(2).

  2. Zhang, Mingheng, and Longhui Gang. "A Detection Method of Driver’s Face Orientation Based on Visual Cues and SVM." Journal of Software 8.4 (2013): 924-931.

  3. EOG-based drowsiness detection: Comparison between a fuzzy system and two supervised learning classi_ers Antoine Picot _ Sylvie Charbonnier __ Alice Caplier, Preprints of the 18th IFAC World Congress Milano (Italy) August 28 - September 2, 2011

  4. Variable universe fuzzy expert system for aluminum electrolysis, Dan-yang CAO, Shui-ping ZENG, Jin-hong LI, Transactions of Nonferrous Metals Society of China, Volume 21, Issue 2, February 2011, Pages 429-436

  5. Drowsiness detection based on visual signs: blinking analysis based on high frame rate video, Antoine Picot, Sylvie Charbonnier, Alice Caplier, International Instrumentation and Measurement Technology Conference, Austin, Texas : États-Unis (2010).

[C128] Perdikis, S., Tzovaras, D., & Strintzis, M. G. Recognition of human activities using layered hidden Markov models. Eurographics 2008 - Short Papers, Crete, Greece, April 2008. (4 citations)




  1. Kalra, L., Zhao, X., Soto, A. J., & Milios, E. (2013). Detection of daily living activities using a two-stage Markov model. Journal of Ambient Intelligence and Smart Environments, 5(3), 273-285.

  2. Kalra, L., Zhao, X., Soto, A., & Milios, E. (2012). A Two-Stage Corrective Markov Model for Activities of Daily Living Detection. Ambient Intelligence-Software and Applications, 171-179.

  3. Kalra, L. (2011). Activities of Daily Living Detection Using Markov Models.

  4. Caschera, M. C., Ferri, F., & Grifoni, P. InteSe: An Integrated Model for Resolving Ambiguities in Multimodal Sentences.

[C54] G. A. Triantafillidis, D. Tzovaras and M. G. Strintzis, "Blocking Artifact Reduction in Frequency Domain", in Proc. International Conference of Image Processing, ICIP' 01,Thessaloniki, Greece, Oct. 2001. (4 citations)




  1. Zhang, Ming, and Bahadir K. Gunturk. "Compression artifact reduction with adaptive bilateral filtering." IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, 2009.

  2. Stephen A. Martucci, John H. Elton, "Methods and apparatus for improving quality of block-transform coded images", U.S. Patent 7209594, Apr. 24, 2007.

  3. Jung, J., Le Maguet, Y., Gobert, J., & Delcorso, S. (2003, May). Low-complexity perceptual post-processing of MPEG-4 sequences. In Electronic Imaging 2003 (pp. 248-259). International Society for Optics and Photonics.

  4. B. Shen, “Efficient deblocking and optimal quantizer selection for video transcoding”, Proc. IEEE Int. Conf. Image Processing 2003, pp. 193-196, Sep. 2003.

[J71] Mavridou E., Kehagias D., Tzovaras D., Hassapis G. Mining Affective Needs of Automotive Industry Customers for Building a Mass-Customization Recommender System. Journal of Intelligent Manufacturing (Springer) 24.2 (2013): 251-265. (11 citations)




  1. Xu, Y., Chen, G., & Zheng, J. (2015). An integrated solution—KAGFM for mass customization in customer-oriented product design under cloud manufacturing environment. The International Journal of Advanced Manufacturing Technology, 1-17.

  2. Zhang, Y., & Ren, S. (2015). Big Data Based Analysis Framework for Product Manufacturing and Maintenance Process. In Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth (pp. 427-435). Springer International Publishing.

  3. Sivaramakrishnan, A., Krishnamachari, M., & Balasubramanian, V. (2015, July). Recommending Customizable Products: A Multiple Choice Knapsack Solution. In Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics (p. 16). ACM.

  4. Ferguson, S. M., Olewnik, A. T., & Cormier, P. (2014). A review of mass customization across marketing, engineering and distribution domains toward development of a process framework. Research in Engineering Design, 25(1), 11-30.

  5. Franceschini, F., & Maisano, D. (2014). Standardisation of quality and reliability tests in the auto-parts industry: a structured approach concerning thermal systems. Total Quality Management & Business Excellence, (ahead-of-print), 1-13.

  6. Fourie, I., & Julien, H. (2014). IRS, information services and LIS research–a reminder about affect and the affective paradigm… and a question. Library Hi Tech, 32(1), 190-201.

  7. Moon, H., & Lee, H. H. (2014). Consumers’ preference fit and ability to express preferences in the use of online mass customization. Journal of Research in Interactive Marketing, 8(2), 124-143.

  8. Ferguson, Scott M., Andrew T. Olewnik, and Phil Cormier. "A review of mass customization across marketing, engineering and distribution domains toward development of a process framework." Research in Engineering Design: 1-20.

  9. Li, Simon, Kamrun Nahar, and Benjamin CM Fung. "Product customization of tablet computers based on the information of online reviews by customers." Journal of Intelligent Manufacturing (2013): 1-14.

  10. Jurado Lara, Laura. Implementation of Design for Six Sigma on Mass Customization Companies. Diss. KTH, 2012.

  11. Wang Y. and Tseng M.M. Customized products recommendation based on probabilistic relevance model. Journal of Intelligent Manufacturing, Springer Netherlands, 2012, http://dx.doi.org/10.1007/s10845-012-0644-7.



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