Detail projektu

Výzkum a vývoj technologie pro detekci emocí v nestrukturovaných datech

Období řešení: 01.05.2012 — 31.12.2015

Zdroje financování

Ministerstvo průmyslu a obchodu ČR - TIP

- plně financující (2012-05-01 - 2015-12-31)

O projektu

Realizace softwarového prototypu pro detekci emočního obsahu v nestrukturovaných datech pomocí nástrojů umělé inteligence a evolučních algoritmů umožní výrobním organizacím strojové vyhodnocování emocí z textu a sémantické extrahování dat z obrazu, který zasílají zákazníci výrobních organizací na uživatelskou podporu nebo webové stránky. Projekt využije nejnovějších poznatků základního výzkumu k aplikovanému výzkumu a vývoji modulů umělé inteligence pro realizaci rozpoznávacích činností, které musí být doposud přenechány člověku.

Popis anglicky
The software prototype implementation for the emotion detection in unstructured data using the tools of artificial intelligence and evolutionary algorithms can help the manufacturing companies to evaluate emotions in text and extract a semantic data from image, which are sending by the customers of manufacturing companies to customer care department or web sites. The project will use the latest findings in basic research towards an applied research, and it will use the modules of artificial intelligence for the implementation of cognitive activity, which must now be left to human.

Klíčová slova
zpracování obrazu; zpracování textu;umělá inteligence; evoluční algoritmyu; dolování znalostí z dat; rozpoznávání emocí; genetické algoritmy; genetické progranování

Klíčová slova anglicky
image processing; text processing; artificial inteligence; data mining; emotion recognition; genetic algorithms; genetic programming

Označení

FR-TI4/151

Originální jazyk

čeština

Řešitelé

Smékal Zdeněk, prof. Ing., CSc. - hlavní řešitel
Burget Radim, doc. Ing., Ph.D. - spoluřešitel
Karásek Jan, Ing., Ph.D. - spoluřešitel

Útvary

Ústav telekomunikací
- příjemce (01.05.2012 - nezadáno)

Výsledky

UHER, V. Automatic Human Brain 3D Segmentation. In Proceedings of the 18th conference STUDENT EEICT 2012 volume 3. Brno: LITERA Brno, 2012. p. 74-78. ISBN: 978-80-214-4462-1.
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Issac, A., Dutta, M., K., Sarkar, B., Burget, R. An efficient image processing based method for gills segmentation from a digital fish image. In Signal Processing and Integrated Networks (SPIN), 2016 3rd International Conference on. New Delhi, Republic of India: 2016. p. 606-612. ISBN: 978-1-4673-9197-9.
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KARÁSEK, J. Citlivost metod pro měření podobnosti kvantitativních proměnných. Access Server, 2012, roč. 201209, č. 3, s. 1-8. ISSN: 1214-9675.
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UHER, V.; BURGET, R. Automatic 3D Segmentation of Human Brain Images Using Data-mining Techniques. In Proceedings of the 35th International Conference on Telecommunications and Signal Processing - TSP'2012. 1. 2012. p. 578-580. ISBN: 978-1-4673-1118-2.
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MAŠEK, J. Detekce objektů v obraze s pomocí Haarových příznaků. In Proceedings of the 18th Conference STUDENT EEICT 2012 Volume 2. 2012. s. 70-72. ISBN: 978-80-214-4461-4.
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BURGET, R.; UHER, V.; MAŠEK, J. Trainable Segmentation Based on Local-level and Segment-level Feature Extraction. In IEEE International Symposium on Biomedical Imaging. 1. Barcelona: 2012. p. 17-24. ISBN: 978-1-4673-1118-2.
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KARÁSEK, J.; ŠANDA, P.; BURGET, R.; MORSKÝ, O. Strojové učení základem pro hybridní lemmatizační algoritmus. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2012, roč. 2012, č. 57, s. 1-10. ISSN: 1213-1539.
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KARÁSEK, J.; BURGET, R.; MAŠEK, J.; BENDA, O. Genetic Programming Based Classifier in Viola-Jones RapidMiner Image Mining Extension. In 2013 36th International Conference on Telecommunications and Signal Processing. 1. 2013. p. 872-876. ISBN: 978-1-4799-0402-0.
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BURGET, R.; RAY, J.,K.;UHER, V.; MAŠEK, J.; DUTTA, M.;. Supervised Video Scene Segmentation using Similarity Measures Supervised Video Scene Segmentation using Similarity Measures. In 36th International Conference on Telecommunications and Signal processing. 2013. p. 793-797. ISBN: 978-1-4799-0402-0.
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DUTTA, M.; SINGH, A.; SONI, K.; BURGET, R.; ŘÍHA, K. AUTOMATED BRAIN TUMOR SEGMENTATION USING NOVEL FEATURE POINT DETECTOR AND SEEDED REGION GROWING. In 36th International Conference on Telecommunications and Signal processing. 2013. p. 648-652. ISBN: 978-1-4799-0402-0.
Detail

MAŠEK, J.; BURGET, R.; UHER, V.; GÜNEY, S. Speeding up Viola–Jones Algorithm using Multi–Core GPU Implementation. In 36th International Conference on Telecommunications and Signal processing. 2013. p. 808-812. ISBN: 978-1-4799-0402-0.
Detail

MAŠEK, J.; BURGET, R.; KARÁSEK, J.; UHER, V.; GÜNEY, S. Evolutionary Improved Object Detector for Ultrasound Images. In 36th International Conference on Telecommunications and Signal processing. 2013. p. 586-590. ISBN: 978-1-4799-0402-0.
Detail

DUTTA, M.; SINGH, A.; SONI, K.; BURGET, R.; ŘÍHA, K. Watermarking of Digital Media with Encrypted Biometric Features for Digital Ownership. In 2013 Sixth International Conference on Contemporary Computing (IC3-2013). New Delhi, Republic of India: 2013. p. 108-112. ISBN: 978-1-4799-0190-6.
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GÜNEY, S.; ATASOY, A.; BURGET, R. Electronic Nose Odor Classification with Advanced Decision Tree Structures. Radioengineering, 2013, vol. 2011, no. 1, p. 1-9. ISSN: 1210-2512.
Detail

UHER, V.; BURGET, R.; MAŠEK, J.; DUTTA, M. 3D Brain Tissue Selection and Segmentation from MRI. In 36th International Conference on Telecommunications and Signal processing. 2013. p. 839-842. ISBN: 978-1-4799-0402-0.
Detail

MAŠEK, J.; BURGET, R.; UHER, V. IMMI for Satellite Data Analysis. In RapidMiner Community Meeting And Conference - RCOMM 2013. 2013. p. 3-11. ISBN: 978-3-8440-2145-5.
Detail

MAŠEK, J.; BURGET, R.; UHER, V. IMMI: Interactive Segmentation Toolkit. In Engineering Applications of Neural Networks. Communications in Computer and Information Science. Heidelberg: Springer Berlin Heidelberg, 2013. p. 380-387. ISBN: 978-3-642-41012-3. ISSN: 1865-0929.
Detail

UHER, V.; BURGET, R.; MAŠEK, J.; KARÁSEK, J. Audio mining extension. In RapidMiner Community Meeting And Conference - RCOMM 2013. 2013. p. 12-18. ISBN: 978-3-8440-2145-5.
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DUTTA, M.; SINGH, A.; BURGET, R.; ATASSI, H.; CHOUNDHARY, A.; SONI, K. Generation of biometric based unique digital watermark from iris image. In 36th International Conference on Telecommunications and Signal processing. 2013. p. 808-812. ISBN: 978-1-4799-0402-0.
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ŘÍHA, K.; MAŠEK, J.; BURGET, R.; BENEŠ, R.; ZÁVODNÁ, E. Novel Method for Localization of Common Carotid Artery Transverse Section in Ultrasound Images Using Modified Viola-Jones Detector. ULTRASOUND IN MEDICINE AND BIOLOGY, 2013, vol. 39, no. 10, p. 1887-1902. ISSN: 0301-5629.
Detail

MEHTA, G.; DUTTA, M.; KARÁSEK, J.; KIM, P. An Efficient and Lossless Fingerprint Encryption Algorithm Using Henon Map & Arnold Transformation. In 2013 International Conference on Control, Communication and Computing (ICCC 2013). Thiruvananthapuram, Kerala, Republic of India: 2013. p. 485-489. ISBN: 978-1-4799-0573-7.
Detail

KARÁSEK, J.; BURGET, R.; DUTTA, M.; SINGH, A. Java Evolutionary Framework based on Genetic Programming. In 2014 International Conference on Signal Processing and Integrated Networks (SPIN). New Delhi, Republic of India: 2014. p. 606-612. ISBN: 978-1-4799-2865-1.
Detail

KARÁSEK, J.; BURGET, R.; UHER, V.; MAŠEK, J.; DUTTA, M. Color Image (Dis)Similarity Assessment and Grouping based on Dominant Colors. In 2014 37th International Conference on Telecommunications and Signal Processing (TSP). Berlin, Germany: 2015. p. 756-759. ISBN: 978-80-214-4983-1.
Detail

MAŠEK, J.; BURGET, R.; KARÁSEK, J.; UHER, V.; DUTTA, M. Multi-GPU Implementation of k-Nearest Neighbor Algorithm. In Proceedings of the 38th International Conference on Telecommunication and Signal Processing. Berlin, Germany: 2015. p. 764-767. ISBN: 978-1-4799-8497-8.
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VYAS, G.; DUTTA, M.; ATASSI, H.; BURGET, R.;. Detection of chorus from an audio clip using dynamic time warping algorithm. In Engineering and Computational Sciences (RAECS), 2014 Recent Advances in. 2014. p. 1-6. ISBN: 978-1-4799-2290-1.
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DUTTA, M.; SINGH, A; TRAVIESO, C.; BURGET, R.;. Generation of Digital Signature from Multi-Feature Biometric Traits for Digital Right Management Control. In Engineering and Computational Sciences (RAECS), 2014 Recent Advances in. 2014. p. 1-4. ISBN: 978-1-4799-2290-1.
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UHER, V.; BURGET, R.; KARÁSEK, J.; MAŠEK, J.; DUTTA, M. Automatic Image Labelling using Similarity Measures. In MEDCOM 2014 CD-ROM. Greater Noida: IEEE, 2015. p. 101-104. ISBN: 978-1-4799-5096-6.
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DUTTA, M.; GANGULY, S.; SRIVASTAVA, K.; GANGULY, S.; PARTHASARATHI, M.; BURGET, R.; MAŠEK, J. An Efficient Grading Algorithm for Non-Proliferative Diabetic Retinopathy using Region Based Detection. In 2014 37th International Conference on Telecommunications and Signal Processing (TSP). Berlin, Germany: 2015. p. 743-747. ISBN: 978-80-214-4983-1.
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POVODA, L.; BURGET, R.; MAŠEK, J.; DUTTA, M. Job Shop Scheduling Problem with Heuristic Genetic Programming Operators. In 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN). Noida, Delhi-NCR, India: 2015. p. 702-707. ISBN: 978-1-4799-5990-7.
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POVODA, L.; BURGET, R.; MAŠEK, J.; CVRK, L. Automatické rozpoznávanie emócií z českého textu pomocou umelej inteligencie. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2015, roč. 17, č. 1, s. 15-18. ISSN: 1213-1539.
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SENGAR, N.; DUTTA, M.; BURGET, R.; POVODA, L. Detection of Diabetic Macular Edema in Retinal Images Using a Region Based Method. In 2015 38th International Conference on Telecommunications and Signal Processing (TSP). 2015. p. 412-415. ISBN: 978-1-4799-8498-5.
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SINGH, A.; DUTTA, M.; BURGET, R.; MAŠEK, J. Identification of Acrylamide in Fried Potato Crisps Using Image Processing in Wavelet Domain. In 2015 38th International Conference on Telecommunications and Signal Processing (TSP). International Conference on Telecommunications and Signal Processing (TSP). Prague, Czech Republic: 2015. p. 545-549. ISBN: 978-1-4799-8497-8. ISSN: 1805-5435.
Detail

POVODA, L.; ARORA, A.; SINGH, S.; BURGET, R.; DUTTA, M. K. Emotion Recognition from Helpdesk Messages. In 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). 2015. p. 310-313. ISBN: 978-1-4673-9282-2.
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SINGH, A.; DUTTA, M.; PARTHASARATHI, M.; UHER, V.; BURGET, R. Image Processing Based Automatic Diagnosis of Glaucoma using Wavelet Features of Segmented Optic Disc from Fundus Image. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2015, vol. 122, no. 2, p. 1-12. ISSN: 0169-2607.
Detail

MAŠEK, J.; BURGET, R.; POVODA, L.; HARVÁNEK, M. Image Search Using Similarity Measures Based on Circular Sectors. In Computer Science & Information Technology (CS & IT). Dubaj, Spojené arabské emiráty: 2015. p. 241-251. ISBN: 978-1-921987-43-4. ISSN: 2231-5403.
Detail

BURGET, R.; SMÉKAL, Z.; UHER, V.; MAŠEK, J.: Trénovatelná segmentace; Trainable segmentation of images based on multi-spectral features. http://splab.cz/ts. URL: http://splab.cz/ts. (software)
Detail

Odpovědnost: Smékal Zdeněk, prof. Ing., CSc.