Background - Revision history

Emanuele at 09:13, 19 November 2014

2014-11-19T09:13:21Z

← Older revision		Revision as of 09:13, 19 November 2014
Line 7:		Line 7:

	{\|		{\|
	\|[[Image:~~Silogo_rid~~.png\|150 px]] \|\|		\|[[Image:Logo_CNR_high.png\|150 px]] \|\|
	The Signal & Images Lab at ISTI-CNR ([http://si.isti.cnr.it/ SI Lab]) is working in the fields of signal processing, image understanding and artificial vision. Sensorial information is increasing its importance in both our everyday lives and the most advanced technological and scientific contexts. In particular, visual and audio information is becoming the most significant part of the global information to be processed, understood and manipulated. Our general goal is to increase the knowledge in signal processing, image understanding and artificial vision. This will be achieved by studying and developing models, methods and machines for the formation, processing, analysis and recognition of images and signals, and by applying them to several areas of scientific and technological interest.		The Signal & Images Lab at ISTI-CNR ([http://si.isti.cnr.it/ SI Lab]) is working in the fields of signal processing, image understanding and artificial vision. Sensorial information is increasing its importance in both our everyday lives and the most advanced technological and scientific contexts. In particular, visual and audio information is becoming the most significant part of the global information to be processed, understood and manipulated. Our general goal is to increase the knowledge in signal processing, image understanding and artificial vision. This will be achieved by studying and developing models, methods and machines for the formation, processing, analysis and recognition of images and signals, and by applying them to several areas of scientific and technological interest.
	\|}		\|}

Emanuele at 09:03, 19 November 2014

2014-11-19T09:03:55Z

← Older revision		Revision as of 09:03, 19 November 2014
Line 143:		Line 143:
	[http://www2.inescporto.pt/ INESC TEC] is involved in scientific research and technological development, advanced training, consulting and technology transfer. The main areas of activity are Telecommunications and Multimedia, Power Systems, Manufacturing Systems, Information and Computer Graphics Systems, Optoelectronics and Electronic Systems, Robotics and Intelligent Systems, Innovation and Technology Transfer. INESC TEC is involved in the ERCIM MUSCLE Working Group with a team that is leading research in multimedia information retrieval within the Information and Computer Graphics Systems unit.		[http://www2.inescporto.pt/ INESC TEC] is involved in scientific research and technological development, advanced training, consulting and technology transfer. The main areas of activity are Telecommunications and Multimedia, Power Systems, Manufacturing Systems, Information and Computer Graphics Systems, Optoelectronics and Electronic Systems, Robotics and Intelligent Systems, Innovation and Technology Transfer. INESC TEC is involved in the ERCIM MUSCLE Working Group with a team that is leading research in multimedia information retrieval within the Information and Computer Graphics Systems unit.
	\|}		\|}

	<!--



	{\|		{\|
	\|[[Image:Logo_AIIA.jpg \|150 px]] \|\|		\|[[Image:Logo_AIIA.jpg \|150 px]] \|\|
	The Artificial Intelligence and Information Analysis ([http://www.aiia.csd.auth.gr/ AIIA]) Lab at the Department of Informatics, Aristotle University of Thessaloniki, Greece, has been working for more than 15 years in digital media and related areas. It has 5 faculty members, 15 researchers and PhD students. AIIA Lab has participated in more than 50 projects (40 competitive R&D projects and in 12 educational ones). It has taken part in 35 EU projects, most of which have been in FP5, 6 and 7. AIIA Lab was prime contractor in 3 such projects. AIIA Lab topics of interest span the areas of networked digital media, semantic and anthropocentric media analysis, computer vision, computational intelligence, digital image and video processing, human centred interfaces, IPR protection, computer graphics and visualization. Lab members have published more than 700 articles in international journals and conferences, 30 book chapters and 7 books.		The Artificial Intelligence and Information Analysis ([http://www.aiia.csd.auth.gr/ AIIA]) Lab at the Department of Informatics, Aristotle University of Thessaloniki, Greece, has been working for more than 15 years in digital media and related areas. It has 5 faculty members, 15 researchers and PhD students. AIIA Lab has participated in more than 50 projects (40 competitive R&D projects and in 12 educational ones). It has taken part in 35 EU projects, most of which have been in FP5, 6 and 7. AIIA Lab was prime contractor in 3 such projects. AIIA Lab topics of interest span the areas of networked digital media, semantic and anthropocentric media analysis, computer vision, computational intelligence, digital image and video processing, human centred interfaces, IPR protection, computer graphics and visualization. Lab members have published more than 700 articles in international journals and conferences, 30 book chapters and 7 books.
	\|}		\|}
	-->

Emanuele at 09:54, 18 November 2014

2014-11-18T09:54:26Z

Show changes

Emanuele at 09:50, 18 November 2014

2014-11-18T09:50:54Z

← Older revision		Revision as of 09:50, 18 November 2014
Line 177:		Line 177:

	{\|		{\|
	\|[[Image:Logo_DSP4.~~gif~~ \|150 px]] \|\|		\|[[Image:Logo_DSP4.jpg \|150 px]] \|\|
	The major research topics of the DSP research group at the Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, cover both theoretical methods of multidimensional and multichannel signal processing and their applications. Mathematical methods studied by group members include algorithms of signal segmentation, feature extraction, classification, signal decomposition and reconstruction based on the Wavelet transform, statistical methods and spatial modelling using computational intelligence, information engineering, optimization and neural networks. Applications include the use of general signal processing methods (i) in biomedical image analysis and neurology, (ii) in video processing and three-dimensional modelling, and (iii) in engineering and robotics as well.		The major research topics of the DSP research group at the Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, cover both theoretical methods of multidimensional and multichannel signal processing and their applications. Mathematical methods studied by group members include algorithms of signal segmentation, feature extraction, classification, signal decomposition and reconstruction based on the Wavelet transform, statistical methods and spatial modelling using computational intelligence, information engineering, optimization and neural networks. Applications include the use of general signal processing methods (i) in biomedical image analysis and neurology, (ii) in video processing and three-dimensional modelling, and (iii) in engineering and robotics as well.
	\|}		\|}

Emanuele at 09:47, 18 November 2014

2014-11-18T09:47:22Z

← Older revision		Revision as of 09:47, 18 November 2014
Line 177:		Line 177:

	{\|		{\|
	\|[[Image:~~Logo_iemn~~.~~jpg~~ \|150 px]] \|\|		\|[[Image:Logo_DSP4.gif \|150 px]] \|\|
	The major research topics of the DSP research group at the Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, cover both theoretical methods of multidimensional and multichannel signal processing and their applications. Mathematical methods studied by group members include algorithms of signal segmentation, feature extraction, classification, signal decomposition and reconstruction based on the Wavelet transform, statistical methods and spatial modelling using computational intelligence, information engineering, optimization and neural networks. Applications include the use of general signal processing methods (i) in biomedical image analysis and neurology, (ii) in video processing and three-dimensional modelling, and (iii) in engineering and robotics as well.		The major research topics of the DSP research group at the Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, cover both theoretical methods of multidimensional and multichannel signal processing and their applications. Mathematical methods studied by group members include algorithms of signal segmentation, feature extraction, classification, signal decomposition and reconstruction based on the Wavelet transform, statistical methods and spatial modelling using computational intelligence, information engineering, optimization and neural networks. Applications include the use of general signal processing methods (i) in biomedical image analysis and neurology, (ii) in video processing and three-dimensional modelling, and (iii) in engineering and robotics as well.
	\|}		\|}

Emanuele at 09:46, 18 November 2014

2014-11-18T09:46:10Z

← Older revision		Revision as of 09:46, 18 November 2014
Line 174:		Line 174:
	\|[[Image:Logo_iemn.jpg \|150 px]] \|\|		\|[[Image:Logo_iemn.jpg \|150 px]] \|\|
	IEMN is a research institute created by the National Centre for Scientific Research ([http://www.cnrs.fr CNRS]), two universities (University of [http://www.univ-valenciennes.fr/DOAE/comnum-communications-numeriques Valenciennes] and University of [http://exploit.iemn.univ-lille1.fr/en/ Lille 1]) and an Engineer school ([http://www.isen.fr ISEN]) of France northern region. The COMNUM group at IEMN is a research group located in Valenciennes. Its research activities are focused on three main topics: digital communications and radiofrequency systems for intelligent transportation systems, cognitive radio and cooperative networks, and digital image and video processing and communications. Regarding visual data processing and communication techniques, the group is leading research in joint source-channel video coding, optimization of multimedia delivery over wired and wireless networks, video transcoding, pre- and post-processing techniques, and digital image and video quality.		IEMN is a research institute created by the National Centre for Scientific Research ([http://www.cnrs.fr CNRS]), two universities (University of [http://www.univ-valenciennes.fr/DOAE/comnum-communications-numeriques Valenciennes] and University of [http://exploit.iemn.univ-lille1.fr/en/ Lille 1]) and an Engineer school ([http://www.isen.fr ISEN]) of France northern region. The COMNUM group at IEMN is a research group located in Valenciennes. Its research activities are focused on three main topics: digital communications and radiofrequency systems for intelligent transportation systems, cognitive radio and cooperative networks, and digital image and video processing and communications. Regarding visual data processing and communication techniques, the group is leading research in joint source-channel video coding, optimization of multimedia delivery over wired and wireless networks, video transcoding, pre- and post-processing techniques, and digital image and video quality.
			\|}

			{\|
			\|[[Image:Logo_iemn.jpg \|150 px]] \|\|
			The major research topics of the DSP research group at the Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, cover both theoretical methods of multidimensional and multichannel signal processing and their applications. Mathematical methods studied by group members include algorithms of signal segmentation, feature extraction, classification, signal decomposition and reconstruction based on the Wavelet transform, statistical methods and spatial modelling using computational intelligence, information engineering, optimization and neural networks. Applications include the use of general signal processing methods (i) in biomedical image analysis and neurology, (ii) in video processing and three-dimensional modelling, and (iii) in engineering and robotics as well.
	\|}		\|}

Emanuele at 09:41, 18 November 2014

2014-11-18T09:41:38Z

← Older revision		Revision as of 09:41, 18 November 2014
Line 173:		Line 173:
	{\|		{\|
	\|[[Image:Logo_iemn.jpg \|150 px]] \|\|		\|[[Image:Logo_iemn.jpg \|150 px]] \|\|
	IEMN is a research institute created by the National Centre for Scientific Research (CNRS), two universities (University of Valenciennes and University of Lille 1) and an Engineer school (ISEN) of France northern region. The COMNUM group at IEMN is a research group located in Valenciennes. Its research activities are focused on three main topics: digital communications and radiofrequency systems for intelligent transportation systems, cognitive radio and cooperative networks, and digital image and video processing and communications. Regarding visual data processing and communication techniques, the group is leading research in joint source-channel video coding, optimization of multimedia delivery over wired and wireless networks, video transcoding, pre- and post-processing techniques, and digital image and video quality.		IEMN is a research institute created by the National Centre for Scientific Research ([http://www.cnrs.fr CNRS]), two universities (University of [http://www.univ-valenciennes.fr/DOAE/comnum-communications-numeriques Valenciennes] and University of [http://exploit.iemn.univ-lille1.fr/en/ Lille 1]) and an Engineer school ([http://www.isen.fr ISEN]) of France northern region. The COMNUM group at IEMN is a research group located in Valenciennes. Its research activities are focused on three main topics: digital communications and radiofrequency systems for intelligent transportation systems, cognitive radio and cooperative networks, and digital image and video processing and communications. Regarding visual data processing and communication techniques, the group is leading research in joint source-channel video coding, optimization of multimedia delivery over wired and wireless networks, video transcoding, pre- and post-processing techniques, and digital image and video quality.
	\|}		\|}

Emanuele at 09:36, 18 November 2014

2014-11-18T09:36:32Z

← Older revision		Revision as of 09:36, 18 November 2014
Line 173:		Line 173:
	{\|		{\|
	\|[[Image:Logo_iemn.jpg \|150 px]] \|\|		\|[[Image:Logo_iemn.jpg \|150 px]] \|\|
			IEMN is a research institute created by the National Centre for Scientific Research (CNRS), two universities (University of Valenciennes and University of Lille 1) and an Engineer school (ISEN) of France northern region. The COMNUM group at IEMN is a research group located in Valenciennes. Its research activities are focused on three main topics: digital communications and radiofrequency systems for intelligent transportation systems, cognitive radio and cooperative networks, and digital image and video processing and communications. Regarding visual data processing and communication techniques, the group is leading research in joint source-channel video coding, optimization of multimedia delivery over wired and wireless networks, video transcoding, pre- and post-processing techniques, and digital image and video quality.
	The activities of the Signal Processing Laboratory at Cankaya University, Ankara, span over the broad fields of signal processing and pattern recognition with applications to image/video analysis and communication systems. Research is focused on developing novel algorithms to analyze the content of signals from multitude of sensors such as visible/infra-red/hyperspectral cameras, microphones, passive infra-red sensors, vibration sensors and spectrum sensors for wireless communications.
	\|}		\|}

Emanuele at 09:34, 18 November 2014

2014-11-18T09:34:14Z

← Older revision		Revision as of 09:34, 18 November 2014
Line 172:		Line 172:

	{\|		{\|
	\|[[Image:~~Logo_Cankaya~~.~~png~~ \|150 px]] \|\|		\|[[Image:Logo_iemn.jpg \|150 px]] \|\|
	The activities of the Signal Processing Laboratory at Cankaya University, Ankara, span over the broad fields of signal processing and pattern recognition with applications to image/video analysis and communication systems. Research is focused on developing novel algorithms to analyze the content of signals from multitude of sensors such as visible/infra-red/hyperspectral cameras, microphones, passive infra-red sensors, vibration sensors and spectrum sensors for wireless communications.		The activities of the Signal Processing Laboratory at Cankaya University, Ankara, span over the broad fields of signal processing and pattern recognition with applications to image/video analysis and communication systems. Research is focused on developing novel algorithms to analyze the content of signals from multitude of sensors such as visible/infra-red/hyperspectral cameras, microphones, passive infra-red sensors, vibration sensors and spectrum sensors for wireless communications.
	\|}		\|}

Emanuele at 09:28, 18 November 2014

2014-11-18T09:28:56Z

← Older revision		Revision as of 09:28, 18 November 2014
Line 57:		Line 57:
	\|}		\|}

		⚫	<!--

	{\|		{\|
	\|[[Image:IbaI_Perner3.JPG\|150 px]]\|\|		\|[[Image:IbaI_Perner3.JPG\|150 px]]\|\|
	The Institute of Computer Vision and Applied Computer Sciences (IBaI) was founded in 1995. The institute conducts basic and applied research in computer vision, data mining, machine learning, and for image databases. The institute has an excellent staff of highly-qualified researchers from various fields such as computer science, mathematics, electrical engineering, and physics. It has modern equipment and excellent facilities for conducting scientific research. The IBaI is involved in various national and international research projects and RTD projects. The institute is engaged in the developement of research themes such as Machine Learning and Data Mining in Pattern Recognition and Case-Based Reasoning in Computer Vision and Image Processing on the international level. Therefore the institute offers several scientific events such as MLDM, ICDM, MDA and technical committees. The institute provides courses(e.g. Tutorial Days Data Mining) on data mining and computer vision.		The Institute of Computer Vision and Applied Computer Sciences (IBaI) was founded in 1995. The institute conducts basic and applied research in computer vision, data mining, machine learning, and for image databases. The institute has an excellent staff of highly-qualified researchers from various fields such as computer science, mathematics, electrical engineering, and physics. It has modern equipment and excellent facilities for conducting scientific research. The IBaI is involved in various national and international research projects and RTD projects. The institute is engaged in the developement of research themes such as Machine Learning and Data Mining in Pattern Recognition and Case-Based Reasoning in Computer Vision and Image Processing on the international level. Therefore the institute offers several scientific events such as MLDM, ICDM, MDA and technical committees. The institute provides courses(e.g. Tutorial Days Data Mining) on data mining and computer vision.
	\|}		\|}
		⚫	-->


	{\|		{\|
Line 80:		Line 80:


	{\|		<!--{\|
	\|[[Image:Logo-armines.jpg‎ \|150 px]] \|\|		\|[[Image:Logo-armines.jpg‎ \|150 px]] \|\|
	[http://cmm.ensmp.fr/index_eng.html ARMINES] is a non-profit French association which acts as the industrial interface serving engineering schools. CMM is a joint research laboratory of ARMINES and MINES ParisTech. Since the CMM was founded in 1967, it has contributed to the growth and dissemination of the theoretical and algorithmic corpus of mathematical morphology, through a very broad field of applications, thereby providing a rich experimental terrain for the development of new concepts and tools. For 40 years now, the CMM has been developing a powerful theoretical framework for image processing, called Mathematical Morphology. The CMM has acquired a leading position in the fields of mathematical foundations of the theory, efficient algorithms design, resolution of applications involving image processing, development of multimedia applications, and specific hardware development. The CMM has capitalized its expertise through common software libraries, creating a synergy between all applications in which the CMM is involved. These libraries provide advanced tools for filtering, segmentation, feature extraction, hyper-spectral image analysis and 3D point cloud analysis.		[http://cmm.ensmp.fr/index_eng.html ARMINES] is a non-profit French association which acts as the industrial interface serving engineering schools. CMM is a joint research laboratory of ARMINES and MINES ParisTech. Since the CMM was founded in 1967, it has contributed to the growth and dissemination of the theoretical and algorithmic corpus of mathematical morphology, through a very broad field of applications, thereby providing a rich experimental terrain for the development of new concepts and tools. For 40 years now, the CMM has been developing a powerful theoretical framework for image processing, called Mathematical Morphology. The CMM has acquired a leading position in the fields of mathematical foundations of the theory, efficient algorithms design, resolution of applications involving image processing, development of multimedia applications, and specific hardware development. The CMM has capitalized its expertise through common software libraries, creating a synergy between all applications in which the CMM is involved. These libraries provide advanced tools for filtering, segmentation, feature extraction, hyper-spectral image analysis and 3D point cloud analysis.
Line 87:		Line 87:

	\|}		\|}
			-->



Line 95:		Line 95:

	\|}		\|}
⚫	<!--


⚫	{\|
⚫	\|[[Image:~~Logo_TSI~~.~~jpg~~ \|150 px]] \|\|
	The [http://www.tsi.gr/index.en.html Telecommunication Systems Institute] is a Greek-government- sponsored independent Research Institute founded by the Greek Ministry of Education in 1995. TSI operates under the auspices of the Technical University of Crete, as an administratively independent and financially self-sustained research entity. The Speech and Dialogue Group at TSI-TUC performs research in the areas of robust speech recognition, multimodal dialogue systems, child-machine interaction, speech understanding, language modelling and speech synthesis. The group has participated in large-scale speech recognition and spoken dialogue systems projects including “Logotypografia” the first large-vocabulary speech recognition system in Greek. The group has been involved in the EU-IST FP6 projects MUSCLE (multimedia understanding), HIWIRE (robust speech recognition) and is currently co-coordinating the EU-IST FP7 project PortDial (spoken dialogue systems).

⚫	\|}-->


Line 151:		Line 143:


			<!--

	{\|		{\|
	\|[[Image:Logo_AIIA.jpg \|150 px]] \|\|		\|[[Image:Logo_AIIA.jpg \|150 px]] \|\|
	The Artificial Intelligence and Information Analysis ([http://www.aiia.csd.auth.gr/ AIIA]) Lab at the Department of Informatics, Aristotle University of Thessaloniki, Greece, has been working for more than 15 years in digital media and related areas. It has 5 faculty members, 15 researchers and PhD students. AIIA Lab has participated in more than 50 projects (40 competitive R&D projects and in 12 educational ones). It has taken part in 35 EU projects, most of which have been in FP5, 6 and 7. AIIA Lab was prime contractor in 3 such projects. AIIA Lab topics of interest span the areas of networked digital media, semantic and anthropocentric media analysis, computer vision, computational intelligence, digital image and video processing, human centred interfaces, IPR protection, computer graphics and visualization. Lab members have published more than 700 articles in international journals and conferences, 30 book chapters and 7 books.		The Artificial Intelligence and Information Analysis ([http://www.aiia.csd.auth.gr/ AIIA]) Lab at the Department of Informatics, Aristotle University of Thessaloniki, Greece, has been working for more than 15 years in digital media and related areas. It has 5 faculty members, 15 researchers and PhD students. AIIA Lab has participated in more than 50 projects (40 competitive R&D projects and in 12 educational ones). It has taken part in 35 EU projects, most of which have been in FP5, 6 and 7. AIIA Lab was prime contractor in 3 such projects. AIIA Lab topics of interest span the areas of networked digital media, semantic and anthropocentric media analysis, computer vision, computational intelligence, digital image and video processing, human centred interfaces, IPR protection, computer graphics and visualization. Lab members have published more than 700 articles in international journals and conferences, 30 book chapters and 7 books.
	\|}		\|}
			-->



Line 172:		Line 164:
	Research topics:		Research topics:
	PEMFC fuel cell; SOFC fuel cell; generators and applicators for heating and induction melting; magnetic levitation in transportation; robustness of power systems; algorithms and techniques for intelligent control of electrical systems; superconductors in electrical engineering applications, such as fault current limitation, superconducting machines, and superconducting magnets.		PEMFC fuel cell; SOFC fuel cell; generators and applicators for heating and induction melting; magnetic levitation in transportation; robustness of power systems; algorithms and techniques for intelligent control of electrical systems; superconductors in electrical engineering applications, such as fault current limitation, superconducting machines, and superconducting magnets.
			\|}

		⚫	{\|
		⚫	\|[[Image:Logo_Cankaya.png \|150 px]] \|\|
			The activities of the Signal Processing Laboratory at Cankaya University, Ankara, span over the broad fields of signal processing and pattern recognition with applications to image/video analysis and communication systems. Research is focused on developing novel algorithms to analyze the content of signals from multitude of sensors such as visible/infra-red/hyperspectral cameras, microphones, passive infra-red sensors, vibration sensors and spectrum sensors for wireless communications.
	\|}		\|}