Curriculum Vitae Dr. Dimitrios K. Tzovaras



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[J82] D. Giakoumis, A. Drosou, P. Cipresso, D. Tzovaras, G. Hassapis, A. Gaggioli, G. Riva, "Using Activity-Related Behavioural Features towards more Effective Automatic Stress Detection", PLoS ONE 7(9): e43571. doi:10.1371/journal.pone.0043571 (13 citations)


  1. Ceja, Enrique, Venet Osmani, and Oscar Mayora. "Automatic stress detection in working environments from smartphones’ accelerometer data: A first step." (2015).

  2. Cipresso, Pietro. "Modeling Behavior Dynamics using Computational Psychometrics within Virtual Worlds." Frontiers in Psychology 6 (2015): 1725.

  3. Carbonaro, N., Cipresso, P., Tognetti, A., Anania, G., De Rossi, D., Pallavicini, F., ... & Riva, G. (2014). Psychometric Assessment of Cardio-Respiratory Activity Using a Mobile Platform. International Journal of Handheld Computing Research (IJHCR), 5(1), 13-29.

  4. Villani, D., Cipresso, P., & Repetto, C. (2014). 9 Coping with Stress and Anxiety: the Role of Presence in Technology Mediated Environments. Interacting with Presence: HCI and the Sense of Presence in Computer-mediated Environments, 139.

  5. Gaggioli, A., Cipresso, P., Serino, S., Pioggia, G., Tartarisco, G., Baldus, G., ... & Riva, G. (2014, February). A Decision Support System for Real-Time Stress Detection During Virtual Reality Exposure. In Medicine Meets Virtual Reality (Vol. 196, pp. 114-120).

  6. Cipresso, P., Serino, S., Giglioli, I. A. C., Giuliano, I., Borra, D., Farina, A., & Riva, G. (2014). Low-Cost Motion-Tracking for Computational Psychometrics Based on Virtual Reality. In Augmented and Virtual Reality (pp. 137-148). Springer International Publishing.

  7. van den Broek, E. L., Janssen, J. H., & Westerink, J. H. (2014). 35 Autonomous Closed-Loop Biofeedback: An Introduction and. The Oxford Handbook of Affective Computing, 472.

  8. Pietro, C., Silvia, S., Federica, P., Andrea, G., & Giuseppe, R. (2014). NeuroVirtual 3D: A Multiplatform 3D Simulation System for Application in Psychology and Neuro-Rehabilitation. In Virtual, Augmented Reality and Serious Games for Healthcare 1 (pp. 275-286). Springer Berlin Heidelberg.

  9. Giuseppe, R. I. V. A. (2014). A virtual reality platform for assessment and rehabilitation of neglect using a kinect. Medicine Meets Virtual Reality 21: NextMed/MMVR21, 196, 66.

  10. Weppner, J., Lukowicz, P., Serino, S., Cipresso, P., Gaggioli, A., & Riva, G. (2013, May). Smartphone based experience sampling of stress-related events. In Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2013 7th International Conference on (pp. 464-467). IEEE.

  11. Pallavicini, F., Gaggioli, A., Raspelli, S., Cipresso, P., Serino, S., Vigna, C., ... & Riva, G. (2013). Interreality for the management and training of psychological stress: study protocol for a randomized controlled trial. Trials, 14(1), 191.

  12. Martinez, H. P., Bengio, Y., & Yannakakis, G. N. (2013). Learning Deep Physiological Models of Affect. Computational Intelligence Magazine, IEEE,8(2), 20-33.

  13. Wiederhold, B. K., & Riva, G. (2013). Contactless Bio-behavioral Technologies for Virtual Reality. Annual Review of Cybertherapy and Telemedicine 2013


[C9] D. Tzovaras, N. Grammalidis, and M. G. Strintzis "Depth map coding for stereo and multiview image sequence transmission," in Proceedings of the International Workshop on Stereoscopic and Three Dimensional Imaging (IWS3DI), Santorini, Greece, pp. 75-80, 1995. (3 citations)


  1. Alatan-AA Onural-L, ``Estimation of Depth Fields Suitable for Video Compression Based on 3-D Structure and Motion of Objects’’, IEEE TRANSACTIONS ON IMAGE PROCESSING 1998, Vol 7, Iss 6, pp 904-908.

  2. P.A. Redert, C.J. Tsai, E.A. Hendriks and A.K. Katsaggelos, "Disparity estimation with modeling of occlusion and object orientation", in proceedings of VCIP’98, 1998.

  3. Tsai, C.J., Eisert, P., Girod, B., and Katsaggelos, A. Model-based synthetic view generation from a monocular video sequence. In Proceedings of the International Conference on Image Processing, volume 1, pages 444-- 447, Santa Barbara, California, 1997.

[J11] M. G. Strintzis and D. Tzovaras, ''Optimal Construction of Subband Coders Using Lloyd-Max Quantizers,'' IEEE Trans. on Image Processing, Vol. 7, No.5, May 1998, pp. 649-667. (3 citations)




  1. Radi, N., Hussain, A. J., & Al-Jumeily, D. (2011, December). Hybrid Predictive, Wavelet and Arithmetic (HPWA) Image Coding System. In Developments in E-systems Engineering (DeSE), 2011 (pp. 558-563). IEEE.

  2. Anti-saturation block adaptive quantization algorithm for SAR raw data compression over the whole set of saturation degrees, Haiming Qi and Weidong Yu, Progress in Natural Science, Volume 19, Issue 8, 10 August 2009, Pages 1003-1009

  3. Cyclostationary error analysis and filter properties in a 3D wavelet coding framework, Riccardo Leonardi and Alberto Signoroni, Signal Processing: Image Communication
    Volume 21, Issue 8, September 2006, Pages 653-675


[C61] D. Tzovaras, G. Nikolakis, G. Fergadis, S. Malassiotis and M. Stavrakis, "Design and Implementation of Virtual Environments for Training of the Visually Impaired”, International ASSETS 2002 SIGCAPH ACM Conference, Edinburg, UK, July 2002 (5 citations)


  1. Cacho Canales, R. (2015). Uso de los Entornos Virtuales en la comprensión del espacio en personas con ceguera y discapacidad visual.

  2. Johnsor, K. A., & Semwal, S. K. (2014, March). Shapes: A multi-sensory environment for the B/VI and hearing impaired community. In Virtual and Augmented Assistive Technology (VAAT), 2014 2nd Workshop on (pp. 1-6). IEEE.

  3. Serero, P. J. (2011). The use of information communication technology in supporting learners with visual impairments in special schools/Serero, Pule Joseph (Doctoral dissertation).

  4. A critical experimental study of the classical tactile threshold theory, Claudio A Perez, José R Donoso and Leonel E Medina, BMC Neuroscience 2010, 11:76doi:10.1186/1471-2202-11-76

  5. Kanav Kahol, Sethuraman Panchanathan, “Neuro-cognitively inspired haptic user interfaces”, Multimedia Tools and Applications, Springer Netherlands, 1380-7501 (Print) 1573-7721 (Online), Thursday, September 06, 2007.

[C98] Turner, P., Turner, S., & Tzovaras, D. “Reliving VE Day with Schemata Activation.” In M. Slater (Ed.) Proc. 8 th International Workshop on Presence . London, 21st - 23rd September 2005, 33-38. (3 citations)




  1. Nijholt, A. (2009). 'Girlfriends and Strawberry Jam’: Tagging Memories, Experiences, and Events for Future Retrieval.

  2. Nijholt, A. (2008). Google home: Experience, support and re-experience of social home activities. Information Sciences, 178(3), 612-630.

  3. Nijholt, A. (2006). Towards On-and Off-line Search, Browse and Replay of Home Activities. Artificial Intelligence Applications and Innovations, 385-392.

[C96] G.Nikolakis, K.Moustakas, D.Tzovaras and M.G.Strintzis: "Haptic Representation of Images for the Blind and the Visually Impaired", in HCI International Conference 2005, Las Vegas USA, July 2005 (4 citations)




  1. Zhang, X., & Sourin, A. (2015). Image‐inspired haptic interaction. Computer Animation and Virtual Worlds, 26(3-4), 311-319.

  2. Nomura, Y., Yagi, Y., Sugiura, T., Matsui, H., and Kato, N. 2007. A fingertip guiding manipulator for mental image creation of multi-stroke drawings. Microsyst. Technol. 13, 8-10 (Apr. 2007), 905-910.

  3. Y. Nomura, Y. Yagi, T. Sugiura, H. Matsui and N. Kato, “A fingertip guiding manipulator for mental image creation of multi-stroke drawings”, in Springer Microsystem Technologies, pp. 905-910, November 2006.

  4. S. Yusoh, Y. Nomura, N. Kokubo, T. Sugiura, H. Matsui and N Kato, “Dual Mode Fingertip Guiding Manipulator for Blind Persons Enabling Passive/Active Line-Drawing Explorations”, in Springer Computers Helping People with Special Needs, pp. 851-858, July 2008.


[C122] Mademlis, P.Daras, D.Tzovaras and M.G.Strintzis : "On 3D Partial Matching of Meaningful Parts", IEEE International Conference on Image Processing (ICIP 2007), San Antonio, Texas, USA, September 2007 (4 citations)


  1. Peng, Y., Zhai, X., Zhao, Y., & Huang, X. (2014). Semi-Supervised Cross-Media Feature Learning with Unified Patch Graph Regularization.

  2. Bustos, B., Schreck, T., Walter, M., Barrios, J. M., Schaefer, M., & Keim, D. (2012). Improving 3D similarity search by enhancing and combining 3D descriptors. Multimedia Tools and Applications, 1-28.

  3. Goldfeder, C., & Allen, P. K. (2011). Data-driven grasping. Autonomous Robots, 31(1), 1-20.

  4. Kanezaki, Asako and Harada, Tatsuya and Kuniyoshi, Yasuo, "Partial matching of real textured 3D objects using color cubic higher-order local auto-correlation features", The Visual Computer, 2010-10-01,Volume 26, Number 10, 1269-1281, Springer Berlin / Heidelberg.

[J53] Argyropoulos, S., Moustakas, K., Karpov, A. A., Aran, O., Tzovaras, D., Tsakiris, T., ... & Kwon, B. (2008). Multimodal user interfaces for the communication of the disabled. Journal on Multimodal User Interfaces, 2(2), 105-116 (7 citations)




  1. Karpov, A., Ronzhin, A., & Kipyatkova, I. (2015). Automatic Analysis of Speech and Acoustic Events for Ambient Assisted Living. In Universal Access in Human-Computer Interaction. Access to Interaction (pp. 455-463). Springer International Publishing.

  2. Karpov, A., & Ronzhin, A. (2014). A Universal Assistive Technology with Multimodal Input and Multimedia Output Interfaces. In Universal Access in Human-Computer Interaction. Design and Development Methods for Universal Access (pp. 369-378). Springer International Publishing.

  3. Delić, V., Sečujski, M., Sedlar, N. V., Mišković, D., Mak, R., & Bojanić, M. (2014). How Speech Technologies Can Help People with Disabilities. In Speech and Computer (pp. 243-250). Springer International Publishing.

  4. Rezaei, Y. A., Heisenberg, G., & Heiden, W. (2014). User Interface Design for Disabled People Under the Influence of Time, Efficiency and Costs. In HCI International 2014-Posters’ Extended Abstracts (pp. 197-202). Springer International Publishing.

  5. Krnoul, Z., Ari, İ., Berger, E., & Demiröz, B. E. Multimodal Sign Matching Game Interface for Children.

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

  7. Ronzhin, A. (2008, September). Speech and Multimodal Interfaces Laboratory. In International Conference on Artificial Intelligence and Intelligent Systems.


[J14] D. Tzovaras, S. Vachtsevanos and M. G. Strintzis, ''Optimization of Wireframe Model Adaptation and Motion Estimation in a Rate-Distortion Framework'', International Journal of Imaging Systems and Technology (IJIST) Special Issue in Image Sequence Processing, Motion Estimation, and Compression of Image Sequences, Vol.9, Jan. 1998, pp.238-247. (3 citations)


  1. Marquant, G., Pateux, S., & Labit, C. Codage d'images xes par maillages. CORESA

  2. Mesh-based scalable image coding with rate-distortion optimization, Marquant, Gwenaelle | Pateux, Stephane | Labit, Claude, Image and video communications and processing 2000; Proceedings of the Conference, San Jose, CA; UNITED STATES; 25-28 Jan. 2000. pp. 101-110. 2000

  3. Marquant, G., Pateux, S., & Labit, C. (2000, May). Mesh-based scalable video coding with rate-distortion optimization. In Visual Communications and Image Processing 2000 (pp. 967-976). International Society for Optics and Photonics.

[C116] A. Mademlis, P. Daras, D. Tzovaras and M.G. Strintzis : "3D Volume Watermarking Using 3D Krawtchouk Moments", 2nd International Conference on Computer Vision Theory and Applications (VISAPP 2007), Barcelona, Spain, March 2007. (3 citations)




  1. Frączek, Rafał, Bogusław Cyganek, and Kazimierz Wiatr. "PARALLELIZED ALGORITHMS FOR FINDING SIMILAR IMAGES AND OBJECT RECOGNITION." Computer Science 14 (2013): 1.

  2. Frączek, R., & Cyganek, B. (2012). Evaluation of Image Descriptors for Retrieval of Similar Images. Intelligent Tools for Building a Scientific Information Platform, 217-226.

  3. “Advanced multimedia search in P2P overlays”, M. Grega , Proceedings of IEEE INFOCOM, art. no. 5072108, 2009.

[C161] D.Giakoumis, A.Vogiannou, I.Kosunen, K.Moustakas, D.Tzovaras, G.Hassapis, “Identifying Psychophysiological Correlates of Boredom and Negative Mood induced during HCI”. 1st International Workshop on Bio-inspired Human-Machine Interfaces and Healthcare Applications - B-Interface 2010 (BIOSTEC 2010), Valencia, Spain, 21-22 January 2010. (6 citations)




  1. Afergan, D., Peck, E. M., Solovey, E. T., Jenkins, A., Hincks, S. W., Brown, E. T., ... & Jacob, R. J. (2014, April). Dynamic difficulty using brain metrics of workload. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 3797-3806). ACM.

  2. Singh, R. R., Conjeti, S., & Banerjee, R. (2014). Assessment of driver stress from physiological signals collected under real-time semi-urban driving scenarios. International Journal of Computational Intelligence Systems, 7(5), 909-923.

  3. Singh, R. R. (2014). Real time physiological signal acquisition and analysis for the development of a wearable driver assistance system.

  4. Singh, Rajiv Ranjan, Sailesh Conjeti, and Rahul Banerjee. "A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals." Biomedical Signal Processing and Control 8.6 (2013): 740-754.

  5. An approach for real-time stress-trend detection using physiological signals in wearable computing systems for automotive drivers, Singh, Rajiv Ranjan;   Conjeti, Sailesh;   Banerjee, Rahul, Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on, Issue Date: 5-7 Oct. 2011, On page(s): 1477 – 1482, Location: Washington, DC, USA, ISSN: 2153-0009

  6. Chandler, C., & Cornes, R. Biometric Measurement of Human Emotions.

[C99] Nikolakis, G., Tzovaras, D., & Strintzis, M. G. Object recognition for the Blind, EUSIPCO, Antalya, Turkey, 2005. (3 citations)




  1. Yi, C., Flores, R. W., Chincha, R., & Tian, Y. (2013). Finding objects for assisting blind people. Network Modeling Analysis in Health Informatics and Bioinformatics, 1-9.

  2. Zachariasova, M., Hudec, R., Benco, M., & Kamencay, P. (2012, May). The object recognition based on Scale-Invariant feature transform and hybrid segmentation. In ELEKTRO, 2012 (pp. 109-113). IEEE.

  3. Chincha, R., & Tian, Y. (2011, November). Finding objects for blind people based on SURF features. In Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on (pp. 526-527). IEEE.


[J72] Diderik Jan Anthony Eikema, Vassilia Hatzitaki, Dimitrios Tzovaras & Charalambos Papaxanthis “Age-dependent modulation of sensory reweighting for controlling posture in a dynamic virtual environment”, American Aging Association 2011, 24 August 2011, DOI: 10.1007/s11357-011-9310-9 (9 citations)


  1. Morel, M., Bideau, B., Lardy, J., & Kulpa, R. (2015). Advantages and limitations of virtual reality for balance assessment and rehabilitation. Neurophysiologie Clinique/Clinical Neurophysiology.

  2. Pasma, J. H., Engelhart, D., Maier, A. B., Schouten, A. C., van der Kooij, H., & Meskers, C. G. (2015). Changes in sensory reweighting of proprioceptive information during standing balance with age and disease. Journal of neurophysiology, jn-00414.

  3. Ruffieux, J., Keller, M., Lauber, B., & Taube, W. (2015). Changes in Standing and Walking Performance Under Dual-Task Conditions Across the Lifespan. Sports Medicine, 1-20.

  4. Agathos, C. P., Bernardin, D., Huchet, D., Scherlen, A. C., Assaiante, C., & Isableu, B. (2015). Sensorimotor and cognitive factors associated with the age-related increase of visual field dependence: a cross-sectional study. AGE, 37(4), 1-19.

  5. Wiesmeier, I. K., Dalin, D., & Maurer, C. (2015). Elderly use proprioception rather than visual and vestibular cues for postural motor control. Frontiers in aging neuroscience, 7.

  6. Balasubramanian, S. (2014). Age Related Changes in Balance and Gait (Doctoral dissertation, Arizona State University).

  7. Boisgontier, Matthieu P., and Vincent Nougier. "Ageing of internal models: from a continuous to an intermittent proprioceptive control of movement." Age (2012): 1-17.

  8. Boisgontier, M. P., Beets, I. A., Duysens, J., Nieuwboer, A., Krampe, R. T., & Swinnen, S. P. (2013). Age-related differences in attentional cost associated with postural dual tasks: Increased recruitment of generic cognitive resources in older adults. Neuroscience & Biobehavioral Reviews.

  9. Razzak, R. A. (2013). Asymmetric Rod and Frame Effect on the Computerized Rod and Frame Test under Time Pressure. International Journal of Brain and Cognitive Sciences 2013, 2(3): 45-50


[C17] D. Tzovaras, N. Grammalidis and M.G. Strintzis, "Disparity field and depth map coding for multiview image sequence compression", in Proceedings of the International Conference on Image Processing (ICIP) 1996, pp. 887-890. (3 citations)


  1. Kim, W. S., Ortega, A., Lai, P., & Tian, D. (2015). Depth Map Coding Optimization Using Rendered View Distortion for 3-D Video Coding.

  2. J. Jiang G. Feng and Y. Yin, “Progressive content access to databases of JPEG-compressed images”, ET Image Processing, Volume 1, Issue 2, pp. 207-214, June 2007

  3. André Redert, Emile Hendriks, “Disparity map coding for 3D teleconferencing applications”, SPIE VCIP 1997.

[C57] S.Petsas, D.Tzovaras, L.Makris and M.G.Strintzis: "WAP-based Personalised Health Care Services", Conference of the IEEE Engineering in Medicine and Biology (EMBC 2001), Istanbul, Turkey, October 2001. (4 citations)




  1. Alkhalaf, A. (2014). Identifying mobile learning challenges at male high schools in Saudi Arabia from the teachers point of view. International Journal of Learning and Teaching, 6(1).

  2. Sewagegn, A. A. (2014). The practices and challenges of modular approach teaching learning: the case of Debre Markos University. International Journal of Learning and Teaching, 6(2).

  3. Mobile-Learning - Thai HE Student Perceptions and Potential Technology Impacts, Paul TJ James, International Education Studies, Vol 4, No 2 (2011).

  4. Wireless monitoring of cardiac activity: a critical review, Hossein Fariborzi and Mahmoud Moghavvemi , International Journal of Biomedical, Engineering and Technology, Issue Volume 2, Number 1 / 2009, pages 4-28.

[C65] G. A. Triantafyllidis, D. Tzovaras, D. Sampson and M. G. Strintzis "A Hybrid Algorithm for the removal of Blocking Artifacts", IEEE Intl. Conf. on Multimedia and Expo, Lausanne, Switzerland, Jan. 2002. (2 citations)




  1. Kaur, P., & Sethi, P. (2012). Blocking Artifacts Reduction in Block based Discrete Cosine Transform Compressed Images. International Journal of Computer Applications, 42(6), 19-24.

  2. L. Kizewski, “Image Deblocking Using Local Segmentation”, in bachelor degree thesis, School of Computer Science and Software Engineering, Monash University, Nov. 2004.

[J33] G.A.Triantafyllidis, M.Varnuska, D.Sampson, D.Tzovaras and M.G.Strintzis: "An Efficient Algorithm for the Enhancement of JPEG Coded Images", Computers & Graphics: An International Journal of Systems & Applications in Computer Graphics, vol. 27(4), pp. 529-534, August 2003. (4 citations)




  1. Dandiwal, Y., & Sachdeva, K. (2013). The Study of Various Approaches for Removal of Blocking Artifacts in Spatial Domain. International Journal of Computer Science and Mobile Computing, 2(12), 350-358.

  2. Kaur, P., & Sethi, P. (2012). Blocking Artifacts Reduction in Block based Discrete Cosine Transform Compressed Images. International Journal of Computer Applications, 42(6), 19-24.

  3. Fuzzy contrast enhancement for images in the compressed domain, Camelia Popa, Aurel Vlaicu, Mihaela Gordan and Bogdan Orza, Proceedings of the International Multiconference on ISSN 1896-7094, Computer Science and Information Technology, pp. 161 – 170 © 2007 PIPS, pp.161-170

  4. Fuzzy intensification operator based contrast enhancement in the compressed domain, Camelia Florea *, Aurel Vlaicu, Mihaela Gordan, Bogdan Orza, Applied Soft Computing, Volume 9, Issue 3, June 2009, Pages 1139-1148

[C88] K. Moustakas, P. Daras, D. Tzovaras and M.G. Strintzis, “Classification of 3D Models using Combined Semantical and Geometrical Information”, Workshop towards Semantic Virtual Environments (SVE2005), pp. 77-85, March 2005, Villars, Switzerland. (4 citations)




  1. Son, H., Kim, C., & Kim, C. (2015). 3D reconstruction of as-built industrial instrumentation models from laser-scan data and a 3D CAD database based on prior knowledge. Automation in Construction, 49, 193-200.

  2. Anastassakis, G., & Panayiotopoulos, T. (2014). A Transparent and Decentralized Model of Perception and Action for Intelligent Virtual Agents. International Journal on Artificial Intelligence Tools, 23(04), 1460020.

  3. Anastassakis, G., & Panayiotopoulos, T. (2012). A unified model for representing objects with physical properties, semantics and functionality in virtual environments. Intelligent Decision Technologies, 6(2), 123-137.

  4. Chu, Yu Lin, “Enabling Customized Behaviors of 3D Avatar in Semantic Virtual Environment”, PhD Thesis, National Chengchi University, 2007

[C62] G.A.Triantafyllidis, D.Sampson, D.Tzovaras and M.G.Strintzis: "Blockiness Reduction in JPEG Coded Images", 14th International Conference on Digital Signal Processing, pp. 1325-1328, Santorini, Greece, July 2002. (2 citations)




  1. Detection and Removal of Blocking Artifact, Anudeep Goraya, Manwinder Singh, International Journal of Information and Telecommunication Technology (ISSN: 0976-5972), Vol 3, No 1 (2011).

  2. Singh, S. (2012). An algorithm for improving the quality of compacted JPEG image by minimizes the blocking artifacts. arXiv preprint arXiv:1208.1983.


C127] A.Mademlis, P.Daras, D.Tzovaras and M.G.Strintzis: "3D Object Retrieval based on Resulting Fields", 29th International conference on EUROGRAPHICS 2008, workshop on 3D object retrieval, Crete, Greece, April 2008. (2 citations)


  1. Raif M. Rustamov,A versatile framework for shape description,Vis Comput (2010) 26: 1245–1256

  2. Template Based Shape Descriptor, Raif M. Rustamov, Eurographics Workshop on 3D Object Retrieval (2009), I. Pratikakis, M. Spagnuolo, T. Theoharis, and R. Veltkamp (Editors)


[C124] S. Argyropoulos, D. Tzovaras, and M. G. Strintzis, “Multimodal fusion for cued speech language recognition,” in Proc. European Signal Processing Conference (EUSIPCO), Poznan, Poland, Sep. 2007, pp. 1289–1293. (2 citations)


  1. Gestures and Lip Shape Integration for Cued Speech Recognition, Heracleous, P.; Hagita, N.; Beautemps, D. , Pattern Recognition (ICPR), 2010 20th International Conference on, Issue Date: 23-26 Aug. 2010, On page(s): 2238 – 2241, Location: Istanbul, ISSN: 1051-4651

  2. Heracleous, P., Aboutabit, N., & Beautemps, D. (2009). Alternative speech communication based on cued speech. In EUSIPCO (pp. 1-4).


[C151] K.Votis, R.Lopes, D.Tzovaras, L.Carrico, S.Likothanassis, “A Semantic Accessibility Assessment Environment For Design & Development for the Web “,HCI International 2009 (HCII 2009), San Diego, California, USA, 19-24 July 2009. (2 citations)


  1. Nganji, J. T., Brayshaw, M., & Tompsett, B. ONTOLOGY-BASED ELearning PERSONALISATION FOR DISABLED STUDENTS IN HIGHER EDUCATION.

  2. Alexandros Pino, Georgios Kouroupetroglou, Hernisa Kacorri, Anna Sarantidou and Dimitris Spiliotopoulos, An Open Source / Freeware Assistive Technology Software Inventory, Computers Helping People with Special Needs, Lecture Notes in Computer Science, 2010, Volume 6179/2010, 178-185, DOI: 10.1007/978-3-642-14097-6_29

[J12] M. G. Strintzis and D. Tzovaras, ''Optimal Pyramidal Decomposition for Progressive Multidimensional Signal Coding using Optimal Quantizers,'' IEEE Trans. on Signal Processing, Special Issue on Theory and Applications of Filter Banks and Wavelets, Vol. 46, No. 4, Apr. 1998, pp. 1054-1068. (2 citations)




  1. Kountchev, Roumen, Vladimir Todorov, and Roumiana Kountcheva. "Linear and Non-linear Inverse Pyramidal Image Representation: Algorithms and Applications." Advances in Reasoning-Based Image Processing Intelligent Systems (2012): 35-89.

  2. Ho, C. K., Ling, B. W. K., & Reiss, J. D. (2006, May). Noise analysis of modulated quantizer based on oversampled signals. In Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on (Vol. 3, pp. III-III). IEEE.

[J60] Kehagias D. and Tzovaras D. A Semantic Web service-oriented application for mobility impaired users. International Journal of Social and Humanistic Computing, Vol. 1, No. 2, 2009 (2 citations)




  1. Paniagua-Martin F, Colomo-Palacios R, Garcia-Crespo A, Ruiz-Mezcua B. MAS: building an educational platform for people with intellectual disabilities and cerebral paralysis. International Journal of Knowledge and Learning, 6 (2-3), 175-184, 2010.

  2. MAS: building an educational platform for people with intellectual disabilities and cerebral paralysis, Fernando Paniagua-Martin, Ricardo Colomo-Palacios, Angel Garcia-Crespo , Belen Ruiz-Mezcua, International Journal of Knowledge and Learning, Vol.6, Number 2-3/2010, pp.175-184.

[C18] M. G. Strintzis and D. Tzovaras, ''Optimal Subband Coding with Lloyd-Max Quantization,'' in IEEE Conf. on Image Processing (ICIP'96), Lausanne, Sep. 1996. (2 citations)




  1. Schmalz, Mark S., and Gerhard X. Ritter. "Detection and characterization of motion in video compression." International Symposium on Optical Science and Technology. International Society for Optics and Photonics, 2003.

  2. J. Jiang G. Feng and Y. Yin, “Progressive content access to databases of JPEG-compressed images”, ET Image Processing, Volume 1, Issue 2, pp. 207-214, June 2007



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