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Articles 1 - 9 of 9
Full-Text Articles in Computational Engineering
Automatic Media Segmentation Within Ieee 1599–2008, Antonello D'Aguanno, Luca A. Ludovico, Davide Andrea Mauro
Automatic Media Segmentation Within Ieee 1599–2008, Antonello D'Aguanno, Luca A. Ludovico, Davide Andrea Mauro
Computer Sciences and Electrical Engineering Faculty Research
This paper deals with the automatic extraction of synchronization data from IEEE 1599-2008, an XML-based standard aiming at a comprehensive description of music. Within such format, audio tracks and video contents related to the same music piece can be referred to the occurrence of symbolic music events. In this way, digital objects are mutually synchronized, too. The goal is to show how timing information can be easily extracted from an IEEE 1599-2008 file, converted into a suitable format, and finally employed in a multimedia editing environment in order to produce an automatic segmentation of media objects.
Energetyka Niskoemisyjna, Wojciech M. Budzianowski
Energetyka Niskoemisyjna, Wojciech M. Budzianowski
Wojciech Budzianowski
No abstract provided.
Pretty Lights, Nicholas (Nick) Delmas, Matthew (Matt) Maniaci
Pretty Lights, Nicholas (Nick) Delmas, Matthew (Matt) Maniaci
Computer Engineering
Digital media players often include a visualization component that allows a user to watch a visualization synchronized to their music or videos. This project uses the visualization plugin API of an existing media playback program (WinAmp) but it displays its visuals using physical LED lights. Instead of outputting visuals to the computer screen, data is sent over USB to a micro controller that runs the LED lights. This project aims to give users a more visceral visual experience than traditional visualizations on the computer screen.
Selective Recursive Kernel Learning For Online Identification Of Nonlinear Systems With Narx Form, Yi Liu, Haiqing Wang, Jiang Yu, Ping Li
Selective Recursive Kernel Learning For Online Identification Of Nonlinear Systems With Narx Form, Yi Liu, Haiqing Wang, Jiang Yu, Ping Li
Dr. Yi Liu
Online identification of nonlinear systems is still an important while difficult task in practice. A general and simple online identification method, namely Selective Recursive Kernel Learning (SRKL), is proposed for multi-input–multi-output (MIMO) systems with the nonlinear autoregressive with exogenous input form. A two-stage RKL online identification framework is first formulated, where the information contained by a sample (i.e., the new arriving or old useless one) can be introduced into and/or deleted from the model, recursively. Then, a sparsification strategy to restrict the model complexity is developed to guarantee all the output channels of the MIMO model accurate simultaneously. Specially, a …
Grafika Inżynierska Ćw., Wojciech M. Budzianowski
Grafika Inżynierska Ćw., Wojciech M. Budzianowski
Wojciech Budzianowski
No abstract provided.
Projektowanie Procesów Biotechnologicznych Proj., Wojciech M. Budzianowski
Projektowanie Procesów Biotechnologicznych Proj., Wojciech M. Budzianowski
Wojciech Budzianowski
No abstract provided.
Projektowanie I Optymalizacja Procesów Proj., Wojciech M. Budzianowski
Projektowanie I Optymalizacja Procesów Proj., Wojciech M. Budzianowski
Wojciech Budzianowski
No abstract provided.
Metody Numeryczne Lab., Wojciech M. Budzianowski
Metody Numeryczne Lab., Wojciech M. Budzianowski
Wojciech Budzianowski
No abstract provided.
Odnawialne Źródła Energii W., Wojciech M. Budzianowski
Odnawialne Źródła Energii W., Wojciech M. Budzianowski
Wojciech Budzianowski
No abstract provided.