Project detail

Primární a sekundární biometrické a ne-biometrické znaky v procesu de-identifikace audio-visuálního obsahu multimediálních dat

Duration: 01.04.2014 — 31.12.2016

Mark

LD14091

Default language

Czech

People responsible

Smékal Zdeněk, prof. Ing., CSc.
- hlavní řešitel (2014-04-01 - not assigned)
Přinosil Jiří, Ing., Ph.D.
- spoluřešitel uvedený v projektu (2014-04-01 - 2016-12-31)

Units

Department of Telecommunications
- (2014-04-01 - not assigned)

Funding resources

Ministerstvo školství, mládeže a tělovýchovy ČR - COST CZ (2011-2017)
- whole funder (2014-04-01 - 2016-12-31)

Results

KŘUPKA, A.; PŘINOSIL, J.; ŘÍHA, K.; MINÁŘ, J.; DUTTA, M. Hair Segmentation for Color Estimation in Surveillance Systems. In MMEDIA 2014, The Sixth International Conferences on Advances in Multimedia. 2014. p. 102-107. ISBN: 978-1-61208-320-9.
Detail

SMÉKAL, Z.; KISKA, T.; MEKYSKA, J. Teagerův-Kaiserův energetický operátor. Sdělovací technika, 2016, roč. 2016, č. 12, s. 30-33. ISSN: 0036-9942.
Detail

DVOŘÁK, P.; JURÁŠ, V.; VOGL, W.; CHYTIL, J. Interactive segmentation of Hip Joint Cartilage. In PIERS 2014 Guangzhou Proceedings. Progress In Electromagnetics. Guangzhou: 2014. p. 2369-2372. ISBN: 978-1-934142-28-8. ISSN: 1559-9450.
Detail

DVOŘÁK, P.; BARTUŠEK, K.; GESCHEIDTOVÁ, E. Automatic Segmentation of Multi-Contrast MRI Using Statistical Region Merging. In PIERS 2014 Guangzhou Proceedings. Progress In Electromagnetics. Guangzhou: 2014. p. 1865-1869. ISBN: 978-1-934142-28-8. ISSN: 1559-9450.
Detail

DVOŘÁK, P.; BARTUŠEK, K.; GESCHEIDTOVÁ, E. Automatic Extraction of Pathological Area in 2D MR Brain Scan. In PIERS 2014 Guangzhou Proceedings. Progress In Electromagnetics. Guangzhou: 2014. p. 1885-1889. ISBN: 978-1-934142-28-8. ISSN: 1559-9450.
Detail

KŘUPKA, A.; ŘÍHA, K. Detection of Edge Structures on Surface of Sedimentary Grains Acquired by Electron Microscope. In Proceedings of the 38th International Conference on Telecommunication and Signal Processing. Berlin, Germany: 2014. p. 785-788. ISBN: 978-1-4799-8497-8.
Detail

DVOŘÁK, P.; BARTUŠEK, K.; SMÉKAL, Z. Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images. Measurement Science Review, 2014, vol. 14, no. 6, p. 357-364. ISSN: 1335-8871.
Detail

DVOŘÁK, P.; BARTUŠEK, K.; KROPATSCH, W.; SMÉKAL, Z. Automated Multi-Contrast Brain Pathological Area Extraction from MR Images. J APPL RES TECHNOL, 2015, vol. 13, no. 1, p. 58-69. ISSN: 1665-6423.
Detail

DVOŘÁK, P.; BARTUŠEK, K. Fully Automatic 3D Glioma Extraction in Multi-contrast MRI. In 11th International Conference on Image Analysis and Recognition (ICIAR). Lecture Notes in Computer Science. Algarve: Springer, 2014. p. 239-246. ISSN: 0302-9743.
Detail

DROTÁR, P.; MEKYSKA, J.; REKTOROVÁ, I.; MASAROVÁ, L.; SMÉKAL, Z.; FAÚNDEZ ZANUY, M. Analysis of in-air movement in handwriting:A novel marker for Parkinsons disease. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2014, vol. 117, no. 3, p. 405-411. ISSN: 0169-2607.
Detail

DROTÁR, P.; MEKYSKA, J.; REKTOROVÁ, I.; MASAROVÁ, L.; SMÉKAL, Z.; FAÚNDEZ ZANUY, M. Decision support framework for Parkinsons disease based on novel handwriting markers. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2015, vol. 23, no. 3, p. 508-516. ISSN: 1534-4320.
Detail

DUTTA, M.; SRIVASTAVA, K.; GANGULY, S.; GANGULY, S.; PARTHASARATHI, M.; BURGET, R.; PŘINOSIL, J. Exudates Detection in Digital Fundus Image Using Edge Based Method & Strategic Thresholding. In 2014 37th International Conference on Telecommunications and Signal Processing (TSP). Berlin, Germany: 2014. p. 508-512. ISBN: 978-80-214-4983-1.
Detail

DUTTA, M.; SINGH, A.; SINGH, A.; BURGET, R.; PŘINOSIL, J. Digital Identification Tags for Medical Fundus Images for Tele-Ophthalmology Applications. In 2014 37th International Conference on Telecommunications and Signal Processing (TSP). Berlin, Germany: 2014. p. 678-681. ISBN: 978-80-214-4983-1.
Detail

FAÚNDEZ ZANUY, M.; SESA-NOGUERAS, E.; ROURE-ALCOBE, J.; ESPOSITO, A.; MEKYSKA, J.; LOPEZ-DE-IPINA, K. A Preliminary Study on Aging Examining Online Handwriting. In 5th IEEE International Conference on Cognitive Infocommunications. 2014. p. 1-4. ISBN: 978-1-4799-7280-7.
Detail

GALÁŽ, Z. Preliminary Acoustic Analysis of Noise Components in Patients In Parkinsons Disease. In Proceedings of the 21st Conference STUDENT EEICT 2015. Brno: 2015. p. 476-480. ISBN: 978-80-214-5148-3.
Detail

DROTÁR, P.; MEKYSKA, J.; SMÉKAL, Z.; REKTOROVÁ, I.; MASAROVÁ, L.; FAÚNDEZ ZANUY, M. Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease. In Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on. 2015. p. 344-348. ISBN: 978-1-4799-6476-5.
Detail

BANSAL, A.; VATS, A.; JAIN, A.; DUTTA, M.; BURGET, R.; PŘINOSIL, J. An Efficient Automatic Intensity Based Method for Detection of Macula in Retinal Images. In 2015 38th International Conference on Telecommunications and Signal Processing (TSP). Prague, Czech Republic: 2015. p. 421-425. ISBN: 978-1-4799-8497-8.
Detail

DVOŘÁK, P.; MENZE, B. Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation. Lecture Notes in Computer Science, 2015, vol. 8965, no. 1, p. 1-12. ISSN: 0302-9743.
Detail

MEKYSKA, J.; JANOUŠOVÁ, E.; GOMEZ-VILDA, P.; SMÉKAL, Z.; REKTOROVÁ, I.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; MRAČKOVÁ, M.; ALONSO-HERNANDEZ, J.; FAÚNDEZ ZANUY, M.; LOPEZ-DE-IPINA, K. Robust and complex approach of pathological speech signal analysis. NEUROCOMPUTING, 2015, vol. 167, no. 1, p. 94-111. ISSN: 0925-2312.
Detail

FAÚNDEZ ZANUY, M.; SATUE-VILLAR, A.; MEKYSKA, J.; ARREOLA, V.; SANZ, P.; PAUL, C.; GUIRAO, L.; SERRA, M.; ROFES, L.; CLAVÉ, P.; SESA-NOGUERAS, E.; ROURE-ALCOBE, J. A Multimodal Approach for Parkinson Disease Analysis. In Advances in Neural Networks: Computational and Theoretical Issues. New York: Springer International Publishing, 2015. p. 311-318. ISBN: 978-3-319-18163-9.
Detail

SMÉKAL, Z.; MEKYSKA, J.; GALÁŽ, Z.; MŽOUREK, Z.; REKTOROVÁ, I.; FAÚNDEZ ZANUY, M. Analysis of phonation in patients with Parkinson's disease using empirical mode decomposition. In 2015 International Symposium on Signals, Circuits and Systems (ISSCS). 2015. p. 1-4. ISBN: 978-1-4673-7487-3.
Detail

MEKYSKA, J.; GALÁŽ, Z.; MŽOUREK, Z.; SMÉKAL, Z.; REKTOROVÁ, I.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; MRAČKOVÁ, M.; BERANKOVA, D.; FAÚNDEZ ZANUY, M.; LOPEZ-DE-IPINA, K.; ALONSO-HERNANDEZ, J. Assessing progress of Parkinson's disease using acoustic analysis of phonation. In 2015 4th International Work Conference on Bioinspired Intelligence (IWOBI). 2015. p. 111-118. ISBN: 978-1-4673-7845-1.
Detail

ELFMARKOVA, N.; GAJDOŠ, M.; MRAČKOVÁ, M.; MEKYSKA, J.; MIKL, M.; REKTOROVÁ, I. Impact of Parkinson's disease and levodopa on resting state functional connectivity related to speech prosody control. PARKINSONISM & RELATED DISORDERS, 2016, vol. 22, no. 1, p. S52 (S55 p.)ISSN: 1353-8020.
Detail

DVOŘÁK, P.; MIKULKA, J.; BARTUŠEK, K. Tissue Segmentation of Brain MRI. In 38th International Conference on Telecommunications and Signal Processing (TSP). Berlin: 2014. p. 735-738. ISBN: 978-1-4799-8497-8.
Detail

SINGH, A.; DUTTA, M.; PŘINOSIL, J.; ŘÍHA, K. Wavelet Based Robust Watermarking Scheme for Copyright Enforcement and Integrity Control in TeleOphthalmology. In 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops - ICUMT 2016. 2016. p. 373-378. ISBN: 978-1-4673-8817-7.
Detail

ISSAC, A.; SENGAR, N.; SINGH, A.; DUTTA, M.; PŘINOSIL, J.; ŘÍHA, K. An Efficient Imaging Technique for Automated Macula Localization from Fundus Images. In 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops - ICUMT. 2016. p. 352-356. ISBN: 978-1-4673-8817-7.
Detail

SENGAR, N.; MISHRA, N.; DUTTA, M.; BURGET, R.; PŘINOSIL, J. Grading of Colorectal Cancer using Histology images. In 2016 39th International Conference on Telecommunications and Signal Processing (TSP). Vieanna, Austria: 2016. p. 529-532. ISBN: 978-1-5090-1287-9.
Detail

VYAS, G.; DUTTA, M.; PŘINOSIL, J.; HARÁR, P. An Automatic Diagnosis and Assessment of Dysarthric Speech using Speech Disorder Specific Prosodic Features. In 2016 39th International Conference on Telecommunications and Signal Processing (TSP). Vieanna, Austria: 2016. p. 515-519. ISBN: 978-1-5090-1287-9.
Detail

Smékal, Z. Uplatní se transformace Z v informatice ?. Sdělovací technika, 2016, č. 7/8, s. 33-36. ISSN: 0036-9942.
Detail

GALÁŽ, Z.; MEKYSKA, J.; MŽOUREK, Z.; KISKA, T.; SMÉKAL, Z.; REKTOROVÁ, I. Degree of Parkinson’s Disease Severity Estimation Based on Speech Signal Processing. In Proceedings of the 39th International Conference on Telecommunication and Signal Processing, TSP 2016. 1. 2016. p. 503-507. ISBN: 978-1-5090-1287-9.
Detail

LOPEZ-DE-IPINA, K.; SATUE-VILLAR, A.; FAÚNDEZ ZANUY, M.; ARREOLA, V.; ORTEGA, O.; CLAVÉ, P.; SANZ-CARTAGENA, M.; MEKYSKA, J.; CALVO, P. Advances in a Multimodal Approach for Dysphagia Analysis Based on Automatic Voice Analysis. In Advances in Neural Networks. Switzerland: Springer International Publishing, 2016. p. 201-211. ISBN: 978-3-319-33746-3.
Detail

GALÁŽ, Z. Potential of Prosodic Features to Estimate Degree of Parkinson's disease severity. In Proceedings of the 22nd Conference STUDENT EEICT 2016. Brno: 2016. p. 533-537. ISBN: 978-80-214-5350-0.
Detail

GALÁŽ, Z. Quantification of Prosodic Impairment in Patients with Idiopathic Parkinson's Disease. In Proceedings of the 22nd Conference STUDENT EEICT 2016. Brno: 2016. p. 538-542. ISBN: 978-80-214-5350-0.
Detail

KISKA, T. Acoustic Analysis of Sentences Complicated for Articulation in Patients with Parkinson's Disease. In Proceedings of the 22nd Conference STUDENT EEICT 2016. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních, 2016. p. 518-522. ISBN: 978-80-214-5350-0.
Detail

MEKYSKA, J.; SMÉKAL, Z.; GALÁŽ, Z.; MŽOUREK, Z.; REKTOROVÁ, I.; FAÚNDEZ ZANUY, M.; LOPEZ-DE-IPINA, K. Perceptual Features as Markers of Parkinson’s Disease: The Issue of Clinical Interpretability. In Recent Advances in Nonlinear Speech Processing. Switzerland: Springer International Publishing, 2016. p. 83-91. ISBN: 978-3-319-28107-0.
Detail

DROTÁR, P.; MEKYSKA, J.; REKTOROVÁ, I.; MASÁROVÁ, L.; SMÉKAL, Z.; FAÚNDEZ ZANUY, M. Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2016, vol. 67, no. 1, p. 39-46. ISSN: 0933-3657.
Detail

VYAS, G.; DUTTA, M.; ŘÍHA, K.; PŘINOSIL, J. An Automatic Emotion Recognizer using MFCCs and Hidden Markov Models. In 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Brno, Czech Republic: 2015. p. 320-324. ISBN: 978-1-4673-9282-2.
Detail

PŘINOSIL, J.; KŘUPKA, A.; ŘÍHA, K.; DUTTA, M.; SINGH, A. Automatic Hair Color De-identification. In ICGCIoT - International CConference of Green Computing and Internet of Things 2015. 2015. p. 737-741. ISBN: 978-1-4673-7909-0.
Detail

DROTÁR, P.; GAZDA, J.; SMÉKAL, Z. An experimental comparison of feature selection methods on two-class biomedical datasets. COMPUTERS IN BIOLOGY AND MEDICINE, 2015, vol. 66, no. 1, p. 1-10. ISSN: 0010-4825.
Detail

GALÁŽ, Z. Analýza ručne psaného projevu: perspektivní metoda diagnostiky Parkinsonovy nemoci. Sdělovací technika, 2016, č. 2, s. 24-34. ISSN: 0036-9942.
Detail

GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Vocal_analysis_tool; Software pro analýzu fonace. http://splab.cz/download/software/software-pro-analyzu-fonace. URL: http://splab.cz/download/software/software-pro-analyzu-fonace. (software)
Detail

GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: dSpeech tool; Software pro kvantifikaci dyzartrické řeči. http://splab.cz/download/software/software-pro-vizualizaci-dyzartricke-reci. URL: http://splab.cz/download/software/software-pro-vizualizaci-dyzartricke-reci. (software)
Detail

GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro de-identifikaci řeči; Software pro de-identifikaci řeči. http://splab.cz/download/software/software-pro-de-identifikaci-reci. URL: http://splab.cz/download/software/software-pro-de-identifikaci-reci. (software)
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ZVONČÁK, V.; GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Biomedical data visualization tool; Software pro vizualizaci biomedicínských dat. http://splab.cz/download/software/software-pro-vizualizaci-biomedicinskych-dat. URL: http://splab.cz/download/software/software-pro-vizualizaci-biomedicinskych-dat. (software)
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KISKA, T.: Calculate and classification analysis tool; Software pro výpočet řečových parametrů a statistickou analýzu. http://splab.cz/en/download/software/software-pro-vypocet-recovych-parametru-a-statistickou-analyzu. URL: http://splab.cz/download/software/software-pro-vypocet-recovych-parametru-a-statistickou-analyzu. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Prosodic impairment analysis tool; Software pro analýzu prozodických vad. http://splab.cz/download/software/software-pro-analyzu-prozodickych-vad. URL: http://splab.cz/download/software/software-pro-analyzu-prozodickych-vad. (software)
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GALÁŽ, Z.; MEKYSKA, J.; MŽOUREK, Z.; SMÉKAL, Z.: Dysarthric speech visualization tool; Software pro vizualizaci dyzartrické řeči. http://splab.cz/en/download/software/software-pro-vizualizaci-dyzartricke-reci. URL: http://splab.cz/download/software/software-pro-vizualizaci-dyzartricke-reci. (software)
Detail

GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Correlation analysis tool; Software pro korelační analýzu. http://splab.cz/download/software/software-pro-korelacni-analyzu. URL: http://splab.cz/download/software/software-pro-korelacni-analyzu. (software)
Detail

GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Regression analysis tool; Software pro regresní analýzu. http://splab.cz/download/software/software-pro-regresni-analyzu. URL: http://splab.cz/download/software/software-pro-regresni-analyzu. (software)
Detail

GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Classification analysis tool; Software pro klasifikační analýzu. http://splab.cz/download/software/software-pro-klasifikacni-analyzu. URL: http://splab.cz/download/software/software-pro-klasifikacni-analyzu. (software)
Detail

PŘINOSIL, J.: De-ident image; De-identifikace osob v obrazovém signálu na základě primárních a sekundárních biometrických i nebiometrických znaků. Vysoké učení technické v Brně FEKT, UTKO Technická 3082/12 616 00 Brno. URL: http://splab.cz/download/software/de-ident-image. (software)
Detail

GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Permutation_tests_tool; Software pro permutační test. http://splab.cz/download/software/software-pro-permutacni-testy. URL: http://splab.cz/download/software/software-pro-permutacni-testy. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Speech rate analysis tool; Software pro analýzu tempa řeči. http://splab.cz/download/software/software-pro-analyzu-tempa-reci. URL: http://splab.cz/download/software/software-pro-analyzu-tempa-reci. (software)
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