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Syllabus 2024-25 - 14312016 - Audiovisual Signal Processing (Procesado de señales audiovisuales)
- Level 1: Tutorial support sessions, materials and exams in this language
- Level 2: Tutorial support sessions, materials, exams and seminars in this language
- Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
DEGREE: | Grado en Ingeniería de telecomunicación (14312016) |
FACULTY: | SCHOOL OF ENGINEERING OF LINARES |
DEGREE: | Doble Grado Ing. de tecnologías de la telecomunicación e Ing. telemática (15212020) |
FACULTY: | SCHOOL OF ENGINEERING OF LINARES |
ACADEMIC YEAR: | 2024-25 |
COURSE: | Audiovisual Signal Processing |
NAME: Audiovisual Signal Processing | |||||
CODE: 14312016 (*) | ACADEMIC YEAR: 2024-25 | ||||
LANGUAGE: English | LEVEL: 2 | ||||
ECTS CREDITS: 6.0 | YEAR: 3 | SEMESTER: SC |
NAME: MATA CAMPOS, RAÚL | ||
DEPARTMENT: U134 - INGENIERÍA DE TELECOMUNICACIÓN | ||
FIELD OF STUDY: 800 - TEORÍA DE LA SEÑAL Y COMUNICACIONES | ||
OFFICE NO.: D - D-136 | E-MAIL: raul@ujaen.es | P: 953648658 |
WEBSITE: https://www.ujaen.es/departamentos/ingtel/contactos/mata-campos-raul | ||
ORCID: https://orcid.org/0000-0002-5714-9653 | ||
LANGUAGE: - | LEVEL: 2 |
The student will acquire knowledge about audiovisual signal processing techniques for both audio and video, and will gain a general understanding of how digital audiovisual content signals should be processed. Additionally, the student will be equipped with the ability to stay updated on developments in science and technology, especially in this field, which is closely linked to a dynamic environment such as telecommunications in general and processing techniques in particular.
The course content is developed in both theoretical and practical parts as follows:
Theoretical Content (Lessons):
Lesson 1: Fundamentals of digital imaging. Perception, relationships between pixels, image geometry.
Lesson 2: 2D signal processing. 2D signal convolution. Neighborhood processing: masks.
Lesson 3: Audiovisual signal transforms. Fourier, FFT, Cosine, Hough, Walsh, Hadamard,... JPEG coding. Image compression algorithms.
Lesson 4: Image enhancement and analysis. Enhancements in spatial and temporal domains. Non-uniform illumination. Histograms. Contrast modification.
Lesson 5: Edge detection, morphology, geometric transformations, and segmentation. Edge detection, feature extraction, segmentation, recognition, interpretation, restoration.
Lesson 6: Feature extraction in images. Image classification and recognition. Deep Learning.
Lesson 7: Audio and video signal processing and editing. Linear video editing. Video compression.
Practical Content (Practices):
The practical block of the course consists of laboratory practices and exercises solved in class and is mandatory in nature.
Additionally, communication skills will be developed to convey information, ideas, problems, and solutions in the field of engineering and society in general through documentation delivery processes or oral presentations.
Regarding work organization, collaboration and teamwork will be encouraged through the design of the practical activities.
Practice 1: Programming tools and libraries for audiovisual processing.
Practice 2: Basic audiovisual signal processing. 2D convolution and spatial filtering. Neighborhood processing.
Practice 3: Image processing in transformed domains. Signal synthesis. Compression applications.
Practice 4: Implementation of image enhancement algorithms. Contrast and histogram modification. Image restoration libraries.
Practice 5: Edge detection, morphological processing, and geometric transformations. Thresholding and segmentation.
Practice 6: Image classification and deep learning.
Seminars:
As part of the activities to be carried out within Collective Tutoring, the following seminars are planned:
Seminar 1: Introduction to programming tools for image processing.
Seminar 2: Wavelet transform.
Seminar 3: Audio editing applications. Autotune.
The development of large group and small group lectures will be focused on promoting quality teaching by giving priority to activities that foster inclusive and equitable learning (SDG-4).
Lectures in large group
The methodology to be followed in the large group will be a mixture of introductory activities, master classes and the presentation of theory and general examples. In addition to theoretical contents of the subject, the ability to look for information and interpretation of data and handle complex concepts within telecommunications will be developed and enhanced to make judgments that imply reflection on ethical and social issues.
The student must follow the teacher's presentation with the material available for this purpose, whether they are notes or a slide presentation, which must be completed with their own notes and with the subsequent review of the basic and/or recommended bibliography.
Attendance, as well as active, respectful and responsible participation, either to raise doubts or to respond to the teacher's requirements or questions, will be evaluated positively in its corresponding factor.
The student's autonomous work should focus on reviewing the concepts and theoretical aspects taught in class, carrying out exercises, as well as studying them with the material provided by the teacher, student notes and bibliography.
Small group classes
They will consist of laboratory practices, theoretical/practical seminars in the laboratory or in the classroom where the application of theory to practice and the resolution of problems and exercises are shown.
The student's work will focus on the development of the learning tasks assigned by the teacher, which culminate in the achievement of the objectives set for each session.
Attendance, as well as active, respectful and responsible participation, either to raise doubts or to respond to the teacher's requirements or questions, will be evaluated positively in its corresponding factor.
Regarding the autonomous work, it will focus on the preparation of the documentation to be delivered for each practice, as well as on completing the work started in the laboratory and that could not be finished in the corresponding session. Special emphasis will be placed on the need for their own continuous training and to undertake this activity independently throughout their professional life, as well as on the ability to keep up to date with developments in science and technology.
In addition, communication skills for information, ideas, problems and solutions in the field of engineering and society in general will be developed through task or oral presentations.
Regarding the organization of work, collaboration and teamwork will be encouraged.
Collective tutorials
The collective tutorials will be used in the resolution of doubts, monitoring and supervision of the work and exercises, as well as in the attendance and participation in the different seminars planned in the subject, as well as talks, conferences, workshops and/or conferences, designated by the teacher, in order to complete and update the training and obtain general, transversal and/or specific competences defined for this activity, such as the value of continuous training, entrepreneurship or the review of technological innovations in the matter.
The attendance, as well as the active, respectful and responsible participation, in the aforementioned activities, will be evaluated according to the provisions of the evaluation system of this guide.
Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support
1 Assessment System (detailed description)
1.1 Global Assessment
The Global Assessment modality will be carried out according to the outcomes of the activities described in the section "Methodology and activities", in addition to those described in the section "Detailed description of the Global Assessment" that will be weighted by considering the aspects and percentages detailed in the above table.
The Global assessment modality consists of two parts:
- The work assessment during the term, according to the tasks defined for this purpose.
- The completion of a FINAL EXAM on the day set for the exam during the evaluation period.
The distribution of the weights for each assessable aspect of the two aforementioned parts, and according to the activities described in the table above, is as follows:
Table 1. Weighting of the Global Assessment.
Aspect
|
Teaching term |
Final exam |
Total |
S1 Assistance and participation |
10 % |
- |
10 % |
S2 Theoretical concepts |
15 % |
15 % |
30 % |
S3 Completion of work, study cases and exercises |
15 % |
15 % |
30 % |
S4 Laboratory/ computer practical work |
30% |
|
30 % |
Course Total |
70 % |
30% |
100% |
Grades obtained in an aspect during the teaching term in the GLOBAL assessment will be maintained until the end of the academic year.
Final Exam: At the end of the term, on the day set for the course within the exam period, there will be a final exam of the theoretical part and exercises of the course (aspects S2 and S3), in which students must demonstrate that they have acquired the competences and learning outcomes established for these aspects. The weight of this exam in the final grade will be 30% of the total, as reflected in the table "Weighting of the Global Assessment", with 15% corresponding to aspect S2 and the other 15% to aspect S3. The specific conditions, as well as the material and/or documentation that may be used in the final exam will be established by the lecturer.
Final Assessment
In order to pass the course, students must obtain a grade equal to or higher than 5.0 out of 10 in the overall results considering all the assessed aspects, provided that they have obtained a grade equal to or higher than 4.0 in the final exam and in the laboratory/computer practical part (S4).
Students will have the option of resigning the GLOBAL evaluation, and it will not be possible to return to it once the resignation has been made.
1.2 Final Exam
In the FINAL EXAM modality, an exam will be held on the day set for the course within the exam period, which will cover all the course contents, ensuring that students have acquired the competences and learning outcomes established for the course. The two parts of this written exam are weighed as follows:
- Part 1: Attendance and participation, theoretical concepts and completion of study cases or exercises assignments (S1, S2, and S3): 70%.
- Part 2: Laboratory/ computer practical work (S4): 30%.
The specific conditions, as well as the material and/or documentation that may be used in the Final Exam will be established by the lecturer.
In order to pass the course, students must obtain a grade equal to or higher than 5.0 out of 10 in each of the two parts.
Students who have passed the S4 aspect (laboratory/computer practical work) of the course, through GLOBAL ASSESMENT, with a grade equal to or higher than 5.0 out of 10, will not have to take Part 2 corresponding to this aspect in the exam. The same grade obtained in the GLOBAL ASSESTMENT will be assigned to this part.
The parts passed at each exam attempt will be maintained until the end of the academic year.
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Fundamentals of digital image processing [Recurso electrónico] : a practical approach with examples. Edition: -. Author: Solomon, Chris. Publisher: Hoboken, N.J. : Wiley-Blackwell, 2011.
- Notes: Chapter 1,2,3,4,5
-
Hands-on image processing with Python : expert techniques for advanced image analysis and effective interpretation of image data . Edition: 1st edition. Author: Dey, Sandipan, author.. Publisher: Packt Publishing.
- Notes: Chapter 1,2,3,4,5,6
-
Python ® . Edition: -. Author: Hart-Davis, Guy, author.. Publisher: John Wiley & Sons Inc..
- Notes: Chapter 1,2
-
Python image processing cookbook : over 60 recipes to help you perform complex image processing and computer vision tasks with ease . Edition: 1st edition. Author: Dey, Sandipan, author.. Publisher: Packt Publishing.
- Notes: Chapter 1,2,3,4,5,6
Educación de calidad |
Trabajo decente y crecimiento económico |
Industria, innovación e infraestructura |
Goal 4. Quality education
Throughout all the activities of the subject, fundamental aspects in relation to inclusion and equity will be addressed, which will also be part of the evaluation of the participation aspects. Thus, it will be promoted, both in large group expository classes, as well as in small groups, to use inclusive language both at the written and oral level and to attend to activities of various kinds focused on being equitable with the different learning capacities of the student.
.Furthermore, on the one hand, in large group classes the ability to collect and interpret data and handle complex concepts in the field of telecommunications and digital signal processing will be developed and enhanced, to make judgments that involve reflection on ethical and social issues. On the other hand, in small group classes special emphasis will be placed on the need for continuous training and undertaking this activity independently throughout one's professional life, as well as the ability to stay up to date with new developments. in the field of telecommunications and digital signal processing, taking a more technical approach.
Goal 8. Promote inclusive and sustainable economic growth, employment and decent work for all
With the activities carried out in this subject, both in large groups and in small groups, the aim is to train and raise awareness among students that their future work and professional activity, as well as entrepreneurship activities, in the field of telecommunications and digital signal processing must keep in mind that, through technological modernization and innovation, greater economic productivity can be achieved and, therefore, the development of your region can be encouraged, which, in turn, will promote economic growth that will help the creation of decent employment and high added value.
Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
Through the activities of this subject in large and small group classes, special emphasis is placed on the fact that telecommunication and digital signal processing systems and services must be developed, implemented and maintained in a way that achieves resilient and robust industrialization, as well as as sustainable.
Furthermore, both with the training of content, abilities, skills and abilities, and with the development of the activities proposed to the students, personal initiative and the ability to solve problems autonomously are promoted in order to encourage innovation as a driving force for industrial development, especially in the field of telecommunications and digital signal processing, as well as a wealth-generating element of a society.
Teaching methodology and learning activities
Schedule
The schedule can vary mainly due to the change from multi-modal scenario to the online one.
Evaluation system
There are no changes in the evaluation format (weights of each section) or in what is specified in the detailed evaluation.
Since the evaluation of the subject is continuous, there will only be an exam in the event that the student opts for the Single Test Evaluation, which is summarized in the following tables:
Ordinary call
Extraordinary call
Resources
Given that the attendance in the large group lectures and in the classes in practice groups is 100%, no exceptional resources are foreseen for them.
Teaching methodology and learning activities
Schedule
The schedule can vary mainly due to the change from multi-modal scenario to the online one.
Evaluation system
There are no changes in the evaluation format (weights of each section) or in what is specified in the detailed evaluation.
Since the evaluation of the subject is continuous, there will only be an exam in the event that the student opts for the Single Test Evaluation, which is summarized in the following tables:
Ordinary call
Extraordinary call
Resources
Since all the teaching, either in the exposition classes in large groups or in the classes in practice groups, be taught online, the following resources will need to be used:
Common telematic resources (teachers and students):
- PC equipment or similar.
- Videoconference system or virtual classroom, such as Google Meet or BigBlueButton.
- Use of interactive tools: screen sharing to use comments as a virtual whiteboard in PDF presentations.
- Use of the teaching platform of the University of Jaén: messaging, forums, tasks, activities and means of evaluation.
Institution in charge of data processing: Universidad de Jaén, Campus Las Lagunillas, s/n, 23071 Jaén
Data Protection Delegate: dpo@ujaen.es
Purpose: In accordance with the Universities Law and other national and regional regulations in force, carrying out exams and assessment tests corresponding to the courses students are registered in. In order to avoid frauds while sitting the exam, the exam will be answered using a videoconference system, being able the academic staff of the University of Jaén to compare and contrast the image of the person who is answering the exam with the student's photographic files. Likewise, in order to provide the exam with evidential content for revisions or claims, in accordance with current regulation frameworks, the exam will be recorded and stored.
Legitimacy: compliance with legal obligations (Universities Law) and other national and regional regulations currently in force.
Addressees: service providers who are the owners of the platforms where the exams are carried out and with whom the University of Jaén has signed the corresponding data access contracts.
Storage periods: those established in current in force regulations. In the specific case of exam videoconference recordings, not before the examination records and transcripts are closed or the exam can still be reviewed or challenged.
Rights: you can exercise your right of access, amendment, cancellation, opposition, suppression, limitation and portability by sending a letter to the postal or electronic address indicated above. In the event that you consider that your rights have been violated, you may submit a complaint to the Andalusian Council for Transparency and Data Protection www.ctpdandalucia.es
Person in charge: Universidad de Jaén, Paraje Las Lagunillas, s/n; Tel.953 212121; www.ujaen.es
Data protection delegate (DPO): TELEFÓNICA, S.A.U. ; Email: dpo@ujaen.es
Procedure aim: To manage proper recordings of teaching sessions with the aim of facilitating learning process under a multimodal and/or online teaching
Period for record storage: Images will be kept during legal term according to regulations in force
Legitimacy: Data will be managed according to legal regulations (Organic Law 6/2001, December 21, on Universities) and given consent provided by selecting corresponding box in legal admission documents
Data recipients (transfers or assignments): Any person allowed to get access to every teaching modality
Rights: You may exercise your rights of access, rectification, cancellation, portability, limitation of processing, deletion or, where appropriate, opposition. To exercise these rights, you must submit a written request to the Information, Registration and Electronic Administration Service of the University of Jaen at the address above, or by e-mail to the address above. You must specify which of these rights you are requesting to be satisfied and, at the same time, you must attach a photocopy of your ID card or equivalent identification document. In case you act through a representative, legal or voluntary, you must also provide a document that proves this representation and identification. Likewise, if you consider that your right to personal data protection has been violated, you may file a complaint with the Andalusian Data Protection and Transparency Council www.ctpdandalucia.es