Portale di Ateneo - En.Unibs.it

Other Courses of the Study Programme

Course year: 1

ADVANCED GEOMATICS - 9 credits - Student's own choice
ALGEBRA FOR CODING THEORY AND CRYPTOGRAPHY - 6 credits - Student's own choice
ALGORITHMS AND DATA STRUCTURES - 6 credits - Student's own choice
ANTENNAS AND WIRELESS SYSTEMS LABORATORY
Attendance grouping
9 credits - Raggruppamento di frequenza
APPLIED ACOUSTICS - 6 credits - Student's own choice
APPLIED ECONOMICS IN ENGINEERING - 6 credits - Student's own choice
ARTIFICIAL INTELLIGENCE FUNDAMENTALS - 6 credits - Student's own choice
BIOMEDICAL APPLICATIONS FOR HEALTH AND WEALTH - 6 credits - Student's own choice
BUSINESS MANAGEMENT (STRATEGY AND MARKETING) - 6 credits - Student's own choice
COMPILERS - 6 credits - Student's own choice
CONTROL SYSTEMS TECHNOLOGIES - 9 credits - Student's own choice
DIGITAL COMMUNICATIONS
Attendance grouping
12 credits - Raggruppamento di frequenza
DIGITAL SYSTEMS AND ARCHITECTURES - 6 credits - Student's own choice
ELECTRONICS FOR TELECOMMUNICATIONS
Attendance grouping
9 credits - Raggruppamento di frequenza
ELEMENTS OF SOFTWARE DESIGN - 6 credits - Student's own choice
HEALTH INFORMATION SYSTEMS - 6 credits - Related/Supplementary
HUMAN COMPUTER INTERACTION - 6 credits - Student's own choice
IMAGE PROCESSING AND VISUALIZATION
Attendance grouping
9 credits - Raggruppamento di frequenza
INFORMATION SYSTEMS - 6 credits - Student's own choice
MACHINE LEARNING E DATA MINING - 6 credits - Student's own choice
MEASUREMENT METHODS OF BIOMEDICAL DATA FOR HEALTH AND WEALTH APPLICATIONS - 6 credits - Student's own choice
MICROWAVE ENGINEERING - 6 credits - Characterising
MOBILE PROGRAMMING - 6 credits - Student's own choice
NANOTECHNOLOGIES - 6 credits - Related/Supplementary
NETWORK SECURITY - 6 credits - Characterising
OPERATIONS RESEARCH - 6 credits - Student's own choice
OPTIMIZATION ALGORITHMS - 6 credits - Student's own choice
RATIONAL MECHANICS - 9 credits - Student's own choice
ROBOTICS - 9 credits - Student's own choice
SCIENTIFIC COMPUTING - 6 credits - Student's own choice
SYSTEM ADMINISTRATION - 6 credits - Related/Supplementary
SYSTEM IDENTIFICATION AND DATA ANALYSIS - 6 credits - Related/Supplementary
WEB INFORMATION SYSTEMS - 6 credits - Related/Supplementary
WEB PROGRAMMING - 6 credits - Student's own choice

Course year: 2

DIGITAL AUDIO PROCESSING - 6 credits - Characterising
ADVANCED GEOMATICS - 9 credits - Student's own choice
ADVANCED METHODS FOR INFORMATION REPRESENTATION - 6 credits - Characterising
ALGEBRA FOR CODING THEORY AND CRYPTOGRAPHY - 6 credits - Student's own choice
ALGORITHMS AND DATA STRUCTURES - 6 credits - Student's own choice
APPLIED ACOUSTICS - 6 credits - Student's own choice
APPLIED ECONOMICS IN ENGINEERING - 6 credits - Student's own choice
ARTIFICIAL INTELLIGENCE FUNDAMENTALS - 6 credits - Student's own choice
BIOMEDICAL APPLICATIONS FOR HEALTH AND WEALTH - 6 credits - Student's own choice
BUSINESS MANAGEMENT (STRATEGY AND MARKETING) - 6 credits - Student's own choice
COMPILERS - 6 credits - Student's own choice
CONTROL SYSTEMS TECHNOLOGIES - 9 credits - Student's own choice
DIGITAL SYSTEMS AND ARCHITECTURES - 6 credits - Student's own choice
ELEMENTS OF SOFTWARE DESIGN - 6 credits - Student's own choice
FINAL EXAMINATION - 15 credits - Language/Final Examination
HEALTH INFORMATION SYSTEMS - 6 credits - Related/Supplementary
HUMAN COMPUTER INTERACTION - 6 credits - Student's own choice
INFORMATION SYSTEMS - 6 credits - Student's own choice
MACHINE LEARNING E DATA MINING - 6 credits - Student's own choice
MEASUREMENT METHODS OF BIOMEDICAL DATA FOR HEALTH AND WEALTH APPLICATIONS - 6 credits - Student's own choice
MICROWAVE ENGINEERING - 6 credits - Characterising
MOBILE PROGRAMMING - 6 credits - Student's own choice
MULTIMEDIA COMMUNICATION SERVICES
Attendance grouping
9 credits - Raggruppamento di frequenza
NANOPHOTONICS - 3 credits - Student's own choice
NANOTECHNOLOGIES - 6 credits - Related/Supplementary
NETWORK SECURITY - 6 credits - Characterising
OPERATIONS RESEARCH - 6 credits - Student's own choice
OPTICAL COMMUNICATION COMPONENTS - 6 credits - Characterising
OPTICAL COMMUNICATION NETWORKS - 3 credits - Student's own choice
OPTICAL COMMUNICATION SYSTEMS
Attendance grouping
9 credits - Raggruppamento di frequenza
OPTIMIZATION ALGORITHMS - 6 credits - Student's own choice
PRACTICAL CHEMISTRY FOR NANOTECHNOLOGY - 3 credits - Student's own choice
RATIONAL MECHANICS - 9 credits - Student's own choice
REMOTE SENSING
Attendance grouping
9 credits - Raggruppamento di frequenza
REMOTE SENSING DATA ACQUISITION - 3 credits - Student's own choice
REMOTE SENSING DATA ANALYSIS - 6 credits - Characterising
ROBOTICS - 9 credits - Student's own choice
SCIENTIFIC COMPUTING - 6 credits - Student's own choice
SYSTEM ADMINISTRATION - 6 credits - Related/Supplementary
SYSTEM IDENTIFICATION AND DATA ANALYSIS - 6 credits - Related/Supplementary
WEB INFORMATION SYSTEMS - 6 credits - Related/Supplementary
WEB PROGRAMMING - 6 credits - Student's own choice

MULTIMEDIA INFORMATION CODING AND DESCRIPTION

Single discipline educational activity

Course Sheet

Academic Year of enrolment:

2016/2017

Academic Year of provision:

2017/2018

Type of Course:

Characterising

Degree:

Master's Degree Programme in COMMUNICATION TECHNOLOGIES AND MULTIMEDIA

Disciplinary Sector:

Telecommunications

Language:

English

Grouping head:

MULTIMEDIA COMMUNICATION SERVICES

Grouping type:

Credits:

Programme Year:

Professor and Collaborators:

LEONARDI Riccardo Professor

Cycle:

First semester

Hours of classroom activity:

Hours of individual study:

Basic notions of "Linear Algebra" and "Information Theory". An introductory course on "Digital Signal Processing", or "Digital Image Processing" is also recommended.

Educational Goals

This course provides the fundamentals of multimedia information (audio, image, image sequences) compression and description. It also introduces to the solutions adopted within the ISO and ITU standardization bodies (MPEG-x and H.26x families).

Content

Principles of signal representation and compression for communication and information retrieval. Application to digital audio, image and video.

Extended Syllabus

See "Additional Information" section

Recommended Bibliography

[1] J.R. Ohm, "Multimedia Communication Technology : Representation, Transmission and Identification of Multimedia Signals", Springer, 2004, ISBN 9783642187506.
[2] B.G. Haskell, & A.N. Netravali: "Digital Pictures: Representation, Compression and Standards",(Applications of Communications Theory Series, Ed. R.W. Lucky), Springer, 1995, ISBN 9780306449178.
[3] N.S. Jayant, P. Noll, "Digital Coding of Waveforms - Principles and applications to speech and video", Prentice-Hall, 1984, ISBN 9780132119139.
[4] B.S. Manjunath, P. Salembier, T. Sikora: "Introduction to MPEG-7: Multimedia Content Description Interface", John Wiley & Sons, 2002, ISBN 0471486787.

Methods of Provision

Conventional

Teaching Methods

Slides documenting theoretical concepts and exercises supported by simulation and lab experiments.

Assessment Methods

Homework assignment including lab and/or project work + final oral exam.

Assessment:

Final Mark

Programme of Educational Activities

Start date of teaching period:

Monday, September 18, 2017

End date of teaching period:

Friday, December 22, 2017

Other Information

Exercises / Laboratory work may also be assisted by Dr. Marco Dalai (marco.dalai@unibs.it)

EXTENDED PROGRAM
Introduction: Differences between a classical communication system and a multimedia communication system. Signal conversion/ Interlaced and Progressive Video. Digital (color) image formats. Digital Video formats. Digital audio formats: music/speech.

Multimedia information coding and representation principles: redundancy versus irrelevancy reductions (end-user, final device). Rate versus distortion.

Perceptual aspects: physiology of human visual system, psychovision, color perception and color representation. Auditory system.

Multidimensional spectrum: Multidimensional Fourier transform definition. Examples: Spectrum of a 2D sinusoid. Dirac wall. Multidimensional Fourier transform properties. Spectral transformation due to a reference system transformation. Shear reference system change; quincunx reference system change; scaling; hexagonal reference system change; rotation of the reference system. Graph Fourier Transform.

Sampling of multidimensional signals: Multidimensional Dirac train. Sampling on a cartesian grid: Sampled signal spectrum; no aliasing condition. Sampling of multidimensional signals on non cartesian grids: no aliasing condition. Sampling of images on a quincunx, hexagonal and shear grid. Sampling of progressive and interlaced video signals; shear sampling occurring in moving object tracking...

Multidimensional discrete space filtering: FIR/IIR filtering. Multidimensional transfer function. Multidimensional Z transform: Definition, Region of convergence, Properties. Stability conditions for an IIR multidimensional filter.

Predictive methods: First order AR models. Autocorrelation and power spectral density of an AR process. Mono- and multidimensional models. AR models of high horderl linear prediction; optima predication, Wiener-Hopf (Separable and non separable cases). Motion-compensated prediction.

Transform coding: Linear block transforms: 1-D and multidimensional case. Karhunen-Loeve transform. DCT transform. Quantization and entropy coding. Zig-zag scanning.

Subband coding: LOT transform. Decimation/Interpolation formulas (time/frequency interpretations). 2-channel decomposition. Perfect reconstruction filterbank. 1-D versus multidimensional subband decompositions. Discrete wavelet transform representation. Subband coding principles. Zerotree and SPIHT coding approaches.

Vector quantization: Coding and decoding principle. Llyod Max Quantizer. TVQ and LVQ quantizers.

Fractal coding of signals. Contractive transform. Iterated Function Systems. Mosaic Theorem.

Model-based approaches: Contour-texture coding. Head and shoulder models. Facial animation coding. SNHC.

ISO/JPEG, ISO/MPEG and H.26x families.

Visual information description: Descriptors and Description schemes. SIFT features.