@inbook {,
	title = {Enhanced Vision to Improve Safety in Robotic Surgery},
	booktitle = {Handbook of Robotic and Image-Guided Surgery},
	year = {2020},
	author = {Veronica Penza and Sara Moccia and Elena De Momi and Leonardo S. Mattos}
}
@article {,
	title = {A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future},
	journal = {Annals of Biomedical Engineering},
	year = {2020},
	author = {Paolo Zaffino and Sara Moccia and Elena De Momi and Maria Francesca Spadea}
}
@article {,
	title = {Transfer learning for informative-frame selection in laryngoscopic videos through learned features},
	journal = {Medical \& Biological Engineering \& Computing},
	year = {2020},
	author = {Ilaria Patrini and Michela Ruperti and Sara Moccia and Leonardo S. Mattos and Emanuele Frontoni and Elena De Momi}
}
@article {,
	title = {Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks},
	journal = {Annals of Biomedical Engineering},
	year = {2019},
	doi = {10.1007/s10439-019-02424-9},
	url = {https://link.springer.com/article/10.1007/s10439-019-02424-9},
	author = {Alessandro Casella and Sara Moccia and Emanuele Frontoni and Dario Palladini and Elena De Momi and Leonardo S. Mattos}
}
@conference {liciotti2017hmm,
	title = {HMM-based activity recognition with a ceiling RGB-D camera},
	booktitle = {ICPRAM (International Conference on Pattern Recognition Applications and Methods)},
	year = {2017},
	month = {02/2017},
	abstract = {<p>Automated recognition of Activities of Daily Living allows to identify possible health problems and apply corrective strategies in Ambient Assisted Living (AAL). Activities of Daily Living analysis can provide very useful information for elder care and long-term care services. This paper presents an automated RGB-D video analysis system that recognises human ADLs activities, related to classical daily actions. The main goal is to predict the probability of an analysed subject action. Thus, the abnormal behaviour can be detected. The activity detection and recognition is performed using an affordable RGB-D camera. Human activities, despite their unstructured nature, tend to have a natural hierarchical structure; for instance, generally making a coffee involves a three-step process of turning on the coffee machine, putting sugar in cup and opening the fridge for milk. Action sequence recognition is then handled using a discriminative Hidden Markov Model (HMM). RADiaL, a dataset with RGB-D images and 3D position of each person for training as well as evaluating the HMM, has been built and made publicly available.</p>
},
	author = {Daniele Liciotti and Emanuele Frontoni and Primo Zingaretti and Bellotto, Nicola and Duckett, Tom}
}
@conference {Paolanti2016,
	title = {Accurate modeling of the microwave treatment in reverberating chamber. sanitation of agro food material},
	booktitle = {Mediterranean Microwave Symposium},
	volume = {2016-January},
	year = {2016},
	note = {cited By 0; Conference of 15th IEEE Mediterranean Microwave Symposium, MMS 2015 ; Conference Date: 30 November 2015 Through 2 December 2015; Conference Code:119001},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	abstract = {The microwave heating is useful for drying of foodstuff, disinfestation of works of art, phitosanitary treatment and disinfection of packaging according to current international guidelines. The computer simulation allows predicting and monitoring the heating process. The microwave treatment can nevertheless present some problems such as the presence of highly heated areas (hot spots) or areas with poor radiation due to particular shapes. Simulation of complex systems has evolved into a research discovery tool: such models and simulations, drawing upon the dramatic scale up of computational power and associated architectures and algorithmic innovation, can address complex systems with many degrees of freedom and with multiple length and time scales of interest. Using specific programs, the distribution of heating power in objects to be treated, even if complex shapes, can be predicted so as to be able to define the possibility, the time necessary to the processing, the power to be transmitted in the chamber and any repair or protection to cover the most sensitive areas. It can also predict the behavior of irradiation in the presence of other entities such as nails or pests. In order to perform simulation, important data are the geometry of the object or objects in the case of multiple loading and their dielectric characteristics. As a result we obtain the distribution of heating power. {\textcopyright} 2015 IEEE.},
	keywords = {Computational power, Degrees of freedom (mechanics), Dielectric characteristics, Electromagnetic heating, Electromagnetics, Heating, Microwave heating, Microwave ovens, Microwave treatment, Microwaves, Rail-to-rail input, Reverberating chamber, Shape, Temperature measurement},
	isbn = {9781467376020},
	issn = {21579822},
	doi = {10.1109/MMS.2015.7375447},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962766321\&partnerID=40\&md5=baeea86f228c70b1b41ce30e1d94e5a3},
	author = {Marina Paolanti and Bacchiani, R.a and Emanuele Frontoni and Adriano Mancini and De Leo, R.a and Primo Zingaretti and Bisceglia, B.b}
}
@conference {Paolanti2016,
	title = {Exposure protocol setup for agro food treatment. Method and system for developing an application for heating in reverberation chamber},
	booktitle = {Mediterranean Microwave Symposium},
	volume = {2016-January},
	year = {2016},
	note = {cited By 0; Conference of 15th IEEE Mediterranean Microwave Symposium, MMS 2015 ; Conference Date: 30 November 2015 Through 2 December 2015; Conference Code:119001},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	abstract = {Reverberation chambers are an important tool in various industrial applications: the microwave heating is useful for disinfestation of works of art, disinfection of packaging according to current international guidelines, drying of foodstuff, phitosanitary treatment. We built an application that simulates the heating of an object, assimilated to a sphere, in reverberation chamber. This application is useful for electromagnetic simulation and it is easy to use for inexperienced person in electromagnetic field. It is an user-friendly application featuring a rich graphical user interface. It can visualise the distribution of temperature in objects to be treated and it is possible to insert the power to be transmitted in the chamber. This application is built in COMSOL Multiphysics, an environment for various physics and engineering applications, especially coupled phenomena, or multiphysics. The packages are cross-platform (Windows, Mac, Linux) and they enable you to create accurate models in a very fast way. {\textcopyright} 2015 IEEE.},
	keywords = {Anechoic chambers, Computer operating systems, Comsol multiphysics, Distribution of temperature, Electromagnetic fields, Electromagnetic heating, Electromagnetic simulation, Electromagnetics, Engineering applications, Graphical user interfaces, Heat treatment, Heating, Microwave heating, Microwave theory and techniques, Microwaves, Reverberation, Reverberation chambers, User interfaces},
	isbn = {9781467376020},
	issn = {21579822},
	doi = {10.1109/MMS.2015.7375372},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962767504\&partnerID=40\&md5=9dfed9abd31c8c2fc9ca66541bb1e6a6},
	author = {Marina Paolanti and Pollini, R.a and Emanuele Frontoni and Adriano Mancini and De Leo, R.a and Primo Zingaretti and Bisceglia, B.b}
}
@conference {Rossi2014,
	title = {Interoperability issues among smart home technological frameworks},
	booktitle = {MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings},
	year = {2014},
	note = {cited By 0},
	abstract = {Population aging may be seen both as a human success story, the triumph of public health, medical advancements and economic development over diseases and injures, and as one of the most challenging phenomena that society faces in this century. Assistive technology in all its possible implementations (from Telemedicine to Ambient Assisted Living, and Ambient Intelligence) represents an emerging answer to the needs of the new generation of older adults whose desire is to live longer with a higher quality of life. Objective of this paper is to present the results of a public financed action for the development and implementation of an {\textquoteright}integration platform{\textquoteright} for Ambient Assisted Living that includes features of home automation (energy management, safety, comfort, etc.) and introduces {\textquoteright}smart objects{\textquoteright}, to monitor activities of daily living and detect any abnormal behavior that may represent a danger, or highlight symptoms of some incipient disease.},
	doi = {10.1109/MESA.2014.6935626},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84911958222\&partnerID=40\&md5=969da407b2d8bad8fa3e16dbc7d254a0},
	author = {Rossi, L. and Belli, A. and De Santis, A. and Diamantini, C. and Emanuele Frontoni and Gambi, E. and Palma, L. and Pernini, L. and Pierleoni, P. and Potena, D. and Raffaeli, L. and Spinsante, S. and Primo Zingaretti and Cacciagrano, D. and Corradini, F. and Culmone, R. and De Angelis, F. and Merelli, E. and Re, B.}
}
@conference {Di Fulvio2014,
	title = {A stereovision system for dimensional measurementws in industrial robotics applications},
	booktitle = {MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings},
	year = {2014},
	note = {cited By 0},
	abstract = {The great variety of artificial vision applications, ranging from industrial automation and robotics to analysis and classification of documents, from bioinformatics and medicine to data mining, is due to the reinforcement of information sytems by the realization of algorithms that improved stability and efficiency of the results, also from the computational complexity point of view. The purpose of this work is to propose a stereoscopic vision system for dimensional measurements in an application of industrial robotics. The paper describes as a camera mounted on a six-axis robot manipulator cna calculate the real dimension of a target object. So, in the application the vision system is not composed by two physical cameras, bu tthe stero system is created by the mnovement of a single lcamera. The work provides a calibration procedure of the camera preliminary to the stage of actual measuremetn. Experimental results on a target with a simpole and well-defined shape have shown that the accuracy of the measurement is strongly influenced by a correct calibration.},
	doi = {10.1109/MESA.2014.6935618},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84911977431\&partnerID=40\&md5=53653d90297d7f3e5afba6aee6a53c3c},
	author = {Di Fulvio, G. and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti}
}
@article {De Giovanni2013682,
	title = {An adaptive genetic algorithm for large-size open stack problems},
	journal = {International Journal of Production Research},
	volume = {51},
	number = {3},
	year = {2013},
	note = {cited By 4},
	pages = {682-697},
	abstract = {The problem of minimising the maximum number of open stacks arises in many contexts (production planning, cutting environments, very-large-scale- integration circuit design, etc.) and consists of finding a sequence of tasks (products, cutting patterns, circuit gates, etc.) that determines an efficient utilisation of resources (stacks). We propose a genetic approach that combines classical genetic operators (selection, order crossover and pairwise interchange mutation) with an adaptive search strategy, where intensification and diversification phases are obtained by neighbourhood search and by a composite and dynamic fitness function that suitably modifies the search landscape. Computational tests on random and real-world benchmarks show that the proposed approach is competitive with the state of the art for large-size problems, providing better results for some classes of instances. {\textcopyright} 2013 Taylor \& Francis Group, LLC.},
	doi = {10.1080/00207543.2012.657256},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84871203028\&partnerID=40\&md5=348f92aa3ac3bf64ecb1f5b6d04a2ae1},
	author = {De Giovanni, L. and Gionata Massi and F. Pezzella}
}
@article {De Giovanni2013627,
	title = {A heuristic and an exact method for the gate matrix connection cost minimization problem},
	journal = {International Transactions in Operational Research},
	volume = {20},
	number = {5},
	year = {2013},
	note = {cited By 1},
	pages = {627-643},
	abstract = {In many applications, a sequencing of patterns (electronic circuit nodes, cutting patterns, product orders, etc.) has to be found in order to optimize some given objective function, giving rise to the so-called open stack problems. We focus on a problem related to the optimization of gate matrix layouts: electronic circuits are obtained by connecting gates and one seeks a gate layout permutation that minimizes connection costs under restrictions on the circuit area. In the literature, the connection costs and circuit area are also known as time of open stacks and maximum number of open stacks, respectively. We propose a genetic algorithm providing heuristic solutions and a branch-and-cut algorithm based on a new linear integer programming formulation that represents, to the best of our knowledge, the first exact method proposed in the literature. The algorithms have been tested on real instances and on data sets from the literature. The computational results give evidence that the proposed methods provide solutions that improve the ones found by the approaches presented in the literature. {\textcopyright} 2013 International Federation of Operational Research Societies.},
	doi = {10.1111/itor.12025},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84881022755\&partnerID=40\&md5=243ec854395721c11c14eec4036e7a7b},
	author = {De Giovanni, L. and Gionata Massi and F. Pezzella and Pfetsch, M.E. and Rinaldi, G. and Ventura, P.d}
}
@conference {Dragoni2011541,
	title = {A continuos learning for a face recognition system},
	booktitle = {ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence},
	volume = {1},
	year = {2011},
	note = {cited By 0},
	pages = {541-544},
	abstract = {A system of Multiple Neural Networks has been proposed to solve the face recognition problem. Our idea is that a set of expert networks specialized to recognize specific parts of face are better than a single network. This is because a single network could no longer be able to correctly recognize the subject when some characteristics partially change. For this purpose we assume that each network has a reliability factor defined as the probability that the network is giving the desired output. In case of conflicts between the outputs of the networks the reliability factor can be dynamically re-evaluated on the base of the Bayes Rule. The new reliabilities will be used to establish who is the subject. Moreover the network disagreed with the group and specialized to recognize the changed characteristic of the subject will be retrained and then forced to correctly recognize the subject. Then the system is subjected to continuous learning.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960150495\&partnerID=40\&md5=4a12ff2305013f4969b4fc0242f2b7ec},
	author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri}
}
@article {Dragoni201179,
	title = {A continuous learning in a changing environment},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6979 LNCS},
	number = {PART 2},
	year = {2011},
	note = {cited By 0},
	pages = {79-88},
	abstract = {We propose a Hybrid System for dynamic environments, where a "Multiple Neural Networks" system works with Bayes Rule to solve a face recognition problem. One or more neural nets may no longer be able to properly operate, due to partial changes in some of the characteristics of the individuals. For this purpose, we assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition operated by the overall group. Since the net{\textquoteright}s degree of reliability is defined as the probability that the net is giving the desired output, in case of conflicts between the outputs of the various nets the re-evaluation of their degrees of reliability can be simply performed on the basis of the Bayes Rule. The new vector of reliability will be used to establish who is the conflict winner, making the final choice (the name of subject). Moreover the network disagreed with the group and specialized to recognize the changed characteristic of the subject will be retrained and then forced to correctly recognize the subject. Then the system is subjected to continuous learning. {\textcopyright} 2011 Springer-Verlag.},
	doi = {10.1007/978-3-642-24088-1_9},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80052998017\&partnerID=40\&md5=5004a58b7f29764e0e8129d5c456e8b9},
	author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri}
}
@conference {Catani2011889,
	title = {Efficient traffic simulation using busses as active sensor network},
	booktitle = {Proceedings of the ASME Design Engineering Technical Conference},
	volume = {3},
	number = {PARTS A AND B},
	year = {2011},
	note = {cited By 4},
	pages = {889-894},
	abstract = {In this paper we present a traffic simulation system using traffic data gathered from readings by GPS devices installed on board of busses, i.e., busses running on the road are used as a mobile sensor network. Traffic data are inferred from the comparison of data about normal speed and current speed in a certain position. The simulation system was developed to invent mechanisms that use such information for traffic optimization. In particular, simulations allow to manage traffic lights in real time and to control the traffic system in order to give priority to public transportation systems. {\textcopyright} 2011 by ASME.},
	doi = {10.1115/DETC2011-49013},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84863576021\&partnerID=40\&md5=b5122447bb6ce4e611ea9e196886e59e},
	author = {Ludovico Catani and Emanuele Frontoni and Primo Zingaretti and Di Pasquale, G.}
}
@article {Dragoni2011121,
	title = {Face recognition system in a dynamical environment},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6692 LNCS},
	number = {PART 2},
	year = {2011},
	note = {cited By 0},
	pages = {121-128},
	abstract = {We propose a Hybrid System for dynamic environments, where a "Multiple Neural Networks" system works with Bayes Rule to solve the face recognition problem. One or more neural nets may no longer be able to properly operate, due to partial changes in some of the characteristics of the individuals. For this purpose, we assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition operated by the overall group. Since the net{\textquoteright}s degree of reliability is defined as the probability that the net is giving the desired output, in case of conflicts between the outputs of the various nets the re-evaluation of their degrees of reliability can be simply performed on the basis of the Bayes Rule. The new vector of reliability will be used to establish who is the conflict winner, making the final choice. Moreover the network disagreed with the group and specialized to recognize the changed characteristic of the subject will be retrained and then forced to correctly recognize the subject. Then the system is subjected to continuous learning. {\textcopyright} 2011 Springer-Verlag.},
	doi = {10.1007/978-3-642-21498-1_16},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79957967237\&partnerID=40\&md5=ef902ad97692ff2d6ae546f1a63764bb},
	author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri}
}
@conference {Dragoni2010185,
	title = {Hybrid System for a never-ending unsupervised learning},
	booktitle = {2010 10th International Conference on Hybrid Intelligent Systems, HIS 2010},
	year = {2010},
	note = {cited By 0},
	pages = {185-190},
	abstract = {We propose a Hybrid System for dynamic environments, where a "Multiple Neural Networks" system works with Bayes Rule. One or more neural nets may no longer be able to properly operate, due to partial changes in some of the characteristics of the individuals. We assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition operated by the overall group. Since the net{\textquoteright}s degree of reliability is defined as the probability that the net is giving the desired output, in case of conflicts between the outputs of the various nets the re-evaluation of their degrees of reliability can be simply performed on the basis of the Bayes Rule. The new vector of reliability will be used for making the final choice, by applying two algorithms, the "Inclusion based" and the "Weighted" one over all the maximally consistent subsets of the global outcome. {\textcopyright} 2010 IEEE.},
	doi = {10.1109/HIS.2010.5601070},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-78650122885\&partnerID=40\&md5=c1f15dbf9914a0b618932ba197795fa9},
	author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri}
}
@article {Dragoni2010296,
	title = {An hybrid system for continuous learning},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6077 LNAI},
	number = {PART 2},
	year = {2010},
	note = {cited By 0},
	pages = {296-303},
	abstract = {We propose a Multiple Neural Networks system for dynamic environments, where one or more neural nets could no longer be able to properly operate, due to partial changes in some of the characteristics of the individuals. We assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition operated by the overall group. Since the net{\textquoteright}s degree of reliability is defined as the probability that the net is giving the desired output, in case of conflicts between the outputs of the various nets the re-evaluation of their degrees of reliability can be simply performed on the basis of the Bayes Rule. The new vector of reliability will be used for making the final choice, by applying two algorithms, the Inclusion based and the Weighted one over all the maximally consistent subsets of the global outcome. {\textcopyright} 2010 Springer-Verlag.},
	doi = {10.1007/978-3-642-13803-4_37},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77954587081\&partnerID=40\&md5=623ab72ce6e0ef83d2087d387550b607},
	author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri and Mazzieri, M.}
}
@conference {Dragoni2010421,
	title = {Multiple Neural Networks and Bayesian belief revision for a never-ending unsupervised learning},
	booktitle = {Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA{\textquoteright}10},
	year = {2010},
	note = {cited By 0},
	pages = {421-426},
	abstract = {A system of Multiple Neural Networks has been proposed to solve the face recognition problem. Our idea is that a set of expert networks specialized to recognize specific parts of face are better than a single network. This is because a single network could no longer be able to correctly recognize the subject when some characteristics partially change. For this purpose we assume that each network has a reliability factor defined as the probability that the network is giving the desired output. In case of conflicts between the outputs of the networks the reliability factor can be dynamically re-evaluated on the base of the Bayes Rrule. The new reliabilities will be used to establish who is the subject. Moreover the network disagreed with the group and specialized to recognize the changed characteristic of the subject will be retrained and then forced to correctly recognize the subject. Then the system is subjected to continuous learning. {\textcopyright} 2010 IEEE.},
	doi = {10.1109/ISDA.2010.5687229},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79851492270\&partnerID=40\&md5=51abe7b48e1259d0bbdbd2e8c498e0b4},
	author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri}
}
@conference {Dragoni2009164,
	title = {Multiple neural networks system for dynamic environments},
	booktitle = {ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications},
	year = {2009},
	note = {cited By 0},
	pages = {164-168},
	abstract = {We propose a "Multiple Neural Networks" system for dynamic environments, where one or more neural nets may no longer be able to properly operate, due to sensible partial changes in the characteristics of the individuals. We assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition operated by the overall group. Since the net{\textquoteright}s "degree of reliability" is defined as "the probability that the net is giving the desired output", in case of conflicts between the outputs of the various nets the re-evaluation of their "degrees of reliability" can be simply performed on the basis of the Bayes Rule. The new vector of reliability will be used for making the final choice, by applying the "Inclusion based" algorithm over all the maximally consistent subsets of the global outcome. Finally, the nets recognized as responsible for the conflicts will be automatically forced to learn about the changes in the individuals{\textquoteright} characteristics and avoid to make the same error in the immediate future. {\textcopyright} 2009 IEEE.},
	doi = {10.1109/ISDA.2009.85},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77949498622\&partnerID=40\&md5=1b4b7bdf4786549e90ad4ae17f59a011},
	author = {Dragoni, A.F. and Paola Baldassarri and Vallesi, G. and Mazzieri, M.}
}
@conference {Iacopino2008364,
	title = {Artificial neural networks based symbolic gesture interface},
	booktitle = {SIGMAP 2008 - Proceedings of the International Conference on Signal Processing and Multimedia Applications},
	year = {2008},
	note = {cited By 0},
	pages = {364-369},
	abstract = {The purpose of the developed system is the realization of a gesture recognizer, applied to a user interface. We tried to get fast and easy software for user, without leaving out reliability and using instruments available to common user: a PC and a webcam. The gesture detection is based on well-known artificial vision techniques, as the tracking algorithm by Lucas and Kanade. The paths, opportunely selected, are recognized by a double layered architecture of multilayer perceptrons. The realized system is efficiency and has a good robustness, paying attention to an adequate learning of gesture vocabulary both for the user and for system.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-55849128216\&partnerID=40\&md5=ddfd2afde9d99702ec8cad5b4c8a5656},
	author = {Iacopino, C. and A. Montesanto and Paola Baldassarri and Dragoni, A.F. and Paolo Puliti}
}
@conference {Montesanto2008356,
	title = {Capturing the human action semantics using a query-by-example},
	booktitle = {SIGMAP 2008 - Proceedings of the International Conference on Signal Processing and Multimedia Applications},
	year = {2008},
	note = {cited By 0},
	pages = {356-363},
	abstract = {The paper describes a method for extracting human action semantics in video{\textquoteright}s using queries-by-example.b Here we consider the indexing and the matching problems of content-based human motion data retrieval. The query formulation is based on trajectories that may be easily built or extracted by following relevant points on a video, by a novice user too. The so realized trajectories contain high value of action semantics. The semantic schema is built by splitting a trajectory in time ordered sub-sequences that contain the features of extracted points. This kind of semantic representation allows reducing the search space dimensionality and, being human-oriented, allows a selective recognition of actions that are very similar among them. A neural network system analyzes the video semantic similarity, using a two-layer architecture of multilayer perceptrons, which is able to learn the semantic schema of the actions and to recognize them.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-55849129652\&partnerID=40\&md5=a8587b1b9833a9ccf64510cc75e426ab},
	author = {A. Montesanto and Paola Baldassarri and Dragoni, A.F. and Vallesi, G. and Paolo Puliti}
}
