2. Professors
  3. MARANO Stefano
  4. Teaching

MULTIMEDIA SIGNAL PROCESSING

Stefano MARANO MULTIMEDIA SIGNAL PROCESSING

0622700111
DEPARTMENT OF INFORMATION AND ELECTRICAL ENGINEERING AND APPLIED MATHEMATICS
EQF7
COMPUTER ENGINEERING
2023/2024

OBBLIGATORIO
YEAR OF COURSE 2
YEAR OF DIDACTIC SYSTEM 2022
AUTUMN SEMESTER
CFUHOURSACTIVITY
432LESSONS
216EXERCISES
STEFANO MARANO T Curriculum
Objectives
THIS COURSE PRESENTS THE BASIC ELEMENTS OF:
- EFFECTIVE REPRESENTATION OF SIGNALS AND INFORMATION IN DIGITAL MULTIMEDIA SYSTEMS
- ELEMENTS OF RELIABLE TRANSMISSION FOR MULTIMEDIA SOURCES
- ANALYSIS AND IMPLEMENTATION OF ENCODERS/DECODERS FOR AUDIO, IMAGE AND VIDEO SOURCES


KNOWLEDGE AND UNDERSTANDING:
ABILITY IN ANALYSIS AND MODELING MULTIMEDIA SOURCES AND THE RELATED CODING AND TRANSMISSION TECHNIQUES

APPLYING KNOWLEDGE AND UNDERSTANDING:
DESIGN OF CODECS FOR MULTIMEDIA SIGNALS
Prerequisites
SKILLS ARE REQUIRED IN: MATHEMATICS, PROBABILITY, AND PROGRAMMING.
Contents
TOTAL LECTURE/PRACTICE/LABORATORY (LEC/PRA/LAB) HOURS: 28/20/0

LEARNING UNIT (LU) 1: ELEMENTS OF INFORMATION THEORY
(LECTURE/PRACTICE/LABORATORY HOURS 7/5/0)
1 (2H LEC) ENTROPY
2 (2H LEC) MUTUAL INFORMATION, DIVERGENCE, LOG-SUM INEQUALITY
3 (2H PRA) EXCERISES ON INFORMATIONAL QUANTITIES
4 (2H LEC) AEP. DATA PROCESSING INEQUALITY
5 (1H LEC+1H PRA) BSC. CHANNEL CAPACITY, EXCERISES
6 (2H PRA) EXCERISES ON AEP E CODING

KNOWLEDGE AND UNDERSTANDING: UNDERSTANDING OF THE MAIN INFORMATIONAL QUANTITIES AND CONCEPTUAL CODING SCHEMES
APPLIED KNOWLEDGE AND UNDERSTANDING: ANALYTICAL MANIPULATION OF THE INFORMATIONAL QUANTITIES AND THEIR RELATIONSHIPS


LU2: LOSSLESS CODING
(LEC/PRA/LAB 7/5/0)

7 (2H LEC) PRINCIPLES OF SOURCE CODING. TAXONOMY OF CODES
8 (2H LEC) ENTROPY CODING AND HUFFMAN ALGORITHM
9 (2H LEC) LEMPEL-ZIV CODING: TREE-STRUCTURED LZ78
10 (1H LEC+1H PRA) OVERVIEW OF SLIDING WINDOW LZ77 AND LZW
11 (2H PRA) COMPUTER IMPLEMENTATION OF THE CONSIDERED CODES
12 (2H PRA) COMPUTER IMPLEMENTATION OF THE CONSIDERED CODES

KNOWLEDGE AND UNDERSTANDING: FUNCTIONING OF THE MAIN LOSSLESS SOURCE CODES
APPLIED KNOWLEDGE AND UNDERSTANDING: COMPUTER IMPLEMENTATION OF THE CONSIDERED CODES AND PERFORMANCE ANALYSIS


LU3: LOSSY SOURCE CODING
(LEC/PRA/LAB 7/5/0)

13 (2H LEC) QUANTIZATION. NEAREST NEIGHBOR AND CENTROID RULES. LLOYD & MAX ALGORITHM.
14 (2H LEC) SUBBAND AND TRANSFORM CODING. OVERVIEW ON WAVELETS
15 (2 H LEC) JPEG E MPEG STANDARDS
16 (1H LEC+1H PRA) OVERVIEW ON MP3 E H.264, IMPLEMENTATION OF THE CONSIDERED CODES
17 (2H PRA) COMPUTER IMPLEMENTATION OF THE CONSIDERED CODES
18 (2H PRA) COMPUTER IMPLEMENTATION OF THE CONSIDERED CODES TI

KNOWLEDGE AND UNDERSTANDING: FUNCTIONING OF THE MAIN QUANTIZERS AND LOSSY SOURCE CODES, UNDERSTANDING OF THE CODING STANDARDS
APPLIED KNOWLEDGE AND UNDERSTANDING: COMPUTER IMPLEMENTATION OF THE CONSIDERED QUANTIZERS AND CODES, PERFORMANCE ANALYSIS


LU4: RELIABLE TRANSMISSION
(LEC/PRA/LAB 7/5/0)

19 (2H LEC) PRINCIPLES OF RELIABLE TRANSMISSION
20 (2H LEC) BRIEF OVERVIEW OF: BLOCK, CONVOLUTIONAL, TURBO AND LDPC CODES
21 (2H LEC) STREAMING TECHNIQUES
22 (1H LEC+1H PRA) STREAMING TECHNIQUES, COMPUTER IMPLEMENTATION
23 (2H PRA) COMPUTER IMPLEMENTATION OF THE CONSIDERED CODES
24 (2H PRA) COMPUTER IMPLEMENTATION OF THE CONSIDERED CODES

KNOWLEDGE AND UNDERSTANDING: FUNCTIONING OF THE MAIN CHANNEL CODES AND STREAMING TECHNIQUES
APPLIED KNOWLEDGE AND UNDERSTANDING: COMPUTER IMPLEMENTATION OF SELECTED CODES AND PERFORMANCE ANALYSIS
Teaching Methods
THE COURSE OFFERS THEORETICAL AND PRACTICAL LESSONS (COMPUTER IMPLEMENTATION OF ENCODERS/DECODERS) ON CODING FOR MULTIMEDIA SOURCES AND TRANSMISSION TECHNIQUES.
Verification of learning
THE STUDENT WILL PRESENT A COMPUTER PROJECT (IMPLEMENTATION AND ANALYSIS OF ENCODERS/DECODERS FOR MULTIMEDIA SIGNALS) ALONG WITH A BRIEF ORAL OR WRITTEN REPORT.

THE EVALUATION WILL BE BASED ON PROJECT RESULTS, CORRECTNESS AND EFFICACY OF THE FORMULATION, CLARITY OF EXPOSITION, DEPTH OF UNDERSTANDING, DEVELOPED SKILLS, CRITICAL ANALYSIS AND GENERAL VISION OF THE TOPIC.

Texts
T. M. COVER, J. A. THOMAS, ELEMENTS OF INFORMATION THEORY, JOHN WILEY & SONS, 1991.

A. GERSHO, R. M. GRAY, VECTOR QUANTIZATION AND SIGNAL COMPRESSION, SPRINGER, 1992.

K. SAYOOD, INTRODUCTION TO DATA COMPRESSION, FIFTH EDITION, MORGAN KAUFMANN PUBLISHERS 2018.


SUPPLEMENTARY TEACHING MATERIAL WILL BE AVAILABLE ON THE UNIVERSITY E-LEARNING PLATFORM (HTTP://ELEARNING.UNISA.IT) ACCESSIBLE TO STUDENTS USING THEIR OWN UNIVERSITY CREDENTIALS.
More Information
THE COURSE IS HELD IN ITALIAN.
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