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

FR-TI4/151

čeština

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

Ústav telekomunikací
- odpovědné pracoviště (1.5.2012 - nezadáno)
Ústav telekomunikací
- příjemce (1.5.2012 - nezadáno)

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