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Scheda Riassuntiva
Anno Accademico 2017/2018
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 091032 - AUDIO AND VIDEO SIGNALS
  • 091031 - VIDEO SIGNALS
Docente Marcon Marco
Cfu 5.00 Tipo insegnamento Modulo Di Corso Strutturato

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - MI (474) TELECOMMUNICATION ENGINEERING - INGEGNERIA DELLE TELECOMUNICAZIONI*AZZZZ091042 - VIDEO SIGNALS
091032 - AUDIO AND VIDEO SIGNALS
Ing Ind - Inf (Mag.)(ord. 270) - MI (487) MATHEMATICAL ENGINEERING - INGEGNERIA MATEMATICA*AZZZZ095978 - AUDIO AND VIDEO SIGNALS

Programma dettagliato e risultati di apprendimento attesi

Visual information plays an important role in almost all areas of our life.

Today, much of this information is represented and processed digitally. Digital image processing is ubiquitous, with applications ranging from television to tomography, from photography to printing, from robotics to remote sensing.

"Video Signals" is a graduate-level introductory course to the fundamentals of digital image processing. It emphasizes general principles of image processing but with a specific focus to practical applications. We expect to cover the following topics:

image sampling and quantization,

colors and colorimetry,

spatial and frequency operations,

image segmentation,

morphological image processing,

linear image filtering and correlation,

Image Spectral analysis based on Fourier transform,

noise reduction and restoration,

Deconvolution and blind deconvolution,

Image and Video Compression,

spatio-temporal sampling,

motion analysis and tracking,

multiple image stitching for panoramic images and videos,

High Dynamic Range Images.

Lectures will be complemented by computer exercises with MATLAB Image processing Toolbox.


Note Sulla Modalità di valutazione

The exam for the “video signals” module is a written test with 3 or 4 exercises to be solved in 2 hours. Two or three exercises require a numerical/procedural solution while the last one is a exercise requiring the definition of a Matlab procedure in order to solve the question and will focus on exercises exposed during laboratories. The Matlab code has to be written directly on the paper without any computer aid.

The exam for the first module will take place only in the written version; no oral exams, integrations or projects will be considered in order to increase the obtained grade.

In order to pass the whole “Audio and Video Signals” exam (first and second module) (for students that are not following just the Video module, a positive grade must be obtained in both modules and the final mark will be the average of the two marks rounded up the next integer.

In evaluating the average between the two modules a 30 cum laude mark in a module will be considered as 30; in order to get 30 cum laude as a final mark, the mark of at least one module must be 30 cum laude.

In every exam date the two modules will take place the same day one after the other (more details will be provided by the web poliself); however students can choose to take on a single module or both modules in the same day.

Once a student gets a positive mark in a module this mark will be automatically frozen until she/he takes again the same module in a following session; “taking again the exam on the same module” means that the student registers, participates and turns in his/her solution; while if the student simply participates to an exam but does not turn in his/her solution, this will not change the previous mark and the student will be considered as "asbsentee".

Once a student gets a positive mark in both modules the final mark will be evaluated and then published for the publishing period on the web poliself ; at the end of this period it will be automatically recorded. If the student does not want to record that final grade he/she has to refuse it from the poliself: in that case both marks will be restored in a "frozen" state in order to allow the student to take on again a module (or both of them). However if the student has a frozen mark in both modules at the end of each exam to which his/her signed in, the final average mark will be automatically published and, after the publishing period, automatically recorded: so, if the student wants to improve the final mark he/she has to remember to refuse the published final grade.


Bibliografia
Risorsa bibliografica obbligatoriaTheodoridis, Sergios Koutroumbas, Konstantinos., Pattern Recognition, Editore: Elsevier Academic Press, 2003., Anno edizione: 2003, ISBN: 0126858756

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Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
32.0
esercitazione
8.0
laboratorio informatico
10.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.7.2 / 1.7.2
Area Servizi ICT
06/07/2022