DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE
Corso di studio
Embedded and Control Systems
Annualità Singola (28/09/2020 - 14/06/2021)
90 ore di attività frontale
The course assumes the knowledge of the basic concepts of textual retrieval, i.e., the relational database (DBMS, definitions and usage) and SQL languages.
The purpose of the course is to provide the advanced concepts about the creation, storage and retrieval of digital multimedia data, by accessing to collections of structured, semi-structured and unstructured data, containing, in addition to text, still images , video and audio. It is fundamental to understand the differences between the management of textual data and multimedia data, by considering which are the solved problems and which are still open, with the analysis of algorithmic solutions available today.
Programma e contenuti
Introduction to multimedia data: what does it mean in the modern media and its difference with the digital textual data. Collections of structured, semi-structured and unstructured data. Relationship between data, information and knowledge.
An outstanding class of digital data : the images. Taxonomy of digital images for the purpose of storage and retrieval. Image quality: subjective and objective metrics and computational algorithms.
The compression of digital data: techniques for compressing images. Wavelet Transform. Compression standards: JPEG and JPEG2000
The research data in digital media. Types of search. The search by metadata. The indexing. The search for content in digital images: for shape, for color and texture.
The search for similarities: the approach of metric space. Distance measurements. Centralized indexes. Parallel Index (hints).
Convergence between search engines and databases: the Search Based Applications (SBA).
Collection of video data: examples of compressed video. Search in video. Sentiment and affective analysis.
Collections of audio data: the semantic meaning of the audio data. Search by audio fingerprinting techniques.
Case studies: the digital data behind social media. Examples of search by shape and colour. Search and retrieval in biometrics (collections of fingerprints, irises, faces).
Case studies on visual digital data processing for information retrieval and knowledge definition.
Concepts are explained during the lessons by means of Powerpoint slide and also also with the aid of code developed in Matlab; in this way, the student can easily connet the theory to results in several applicative fields, such as image and audio processing.
Testi di riferimento
Gonzalez R., Woods R.. Digital Image processing, Pearson ed.
V. Castelli, L. D. Bergman. Image Databases - Search and retrieval of digital imagery. Wiley, 2002.
H. R. Wu, K. R. Rao. Digital Video Image Quality and Perceptual Coding. Taylor and Francis, 2006.
P. Zezula, G. Amato, V. Dohnal, M. Batko. Similarity Search - The metric space approach. Springer, 2006.
Modalità verifica apprendimento
The learning verification consists in two individual projects, one for each semester, on topics of the course to be agreed with the teacher. The modalities of developing and delivering of the projects will be explained during the lessons. If a student does not accept the mark of the projects, or the evaluation is not sufficient, he/she has to repeat the oral exam on all the content of the course.
to search and retrieve information, downloadable slides, communication of the teacher and the possibility to request further explanation by e-mail or agree for an appointment in office hours.
Obiettivi Agenda 2030 per lo sviluppo sostenibile