Academic year 2013-14
Video Processing
| Degree: | Code: | Type: |
| Bachelor's Degree in Computer Science | 21490 | Optional subject |
| Bachelor's Degree in Telematics Engineering | 21767 | Optional subject |
| Bachelor's Degree in Audiovisual Systems Engineering | 21620 | Compulsory subject, 3rd year |
| ECTS credits: | 4 | Workload: | 100 hours | Trimester: | 2nd |
| Department: | Dept. of Information and Communication Technologies |
| Coordinator: | Felipe Calderero |
| Teaching staff: | Felipe Calderero |
| Language: | Catalan, Spanish, and English (all course materials are in English) |
| Timetable: | |
| Building: | Communication campus - Poblenou |
Video processing is a subject in the third year of the Degree in Audiovisual Systems Engineering and is dedicated to an introduction to the fundamentals of processing images or video sequences.
Video is the technology of capturing, recording, processing, storing, transmission and reconstruction by digital or analog means of a sequence of images representing scenes in motion. Far beyond this definition, the importance of the video nowadays and in our culture as a means of communication and transmission of knowledge, source of creativity and, even, like art, is unquestionable.
The aim of this course is to understand the particularities of this type of data structure due to the temporal information it contains. More specifically, will present the video formats, both analog and systems in digital systems, processing techniques and basic digital filtering and some basic concepts related to transmission and storing.
It is highly recommended that students have a good background in linear algebra, calculus and numerical methods, vector fields, Fourier transform, probability and, especially, digital image processing. In any case, you must have completed the courses: Linear Algebra and Discrete Mathematics, Calculus and Numerical Methods, Signals and Systems, Differential Equations, Probability and Stochastic Processes, Image Processing.
The natural complement to this course is Image and Video Coding Systems, a subject that can be attended simultaneously with Video Processing and Block electives Image and Video.
| Cross-disciplinary competences | Specific competences |
|---|---|
|
Instrumental Ins1. Capacity for analysis and synthesis. Ins2. Ability to apply knowledge to analyze situations and solve problems. Interpersonal I1. Ability to work in team. Systemic S1. Capacity flexibly and creatively apply acquired knowledge and to adapt to new situations and contexts. S2. Ability to progress in the training process and ap rendizaje of continuous unattended |
E1. Acquire basic knowledge of the video as a data structure and fundamentals. E2. Basic knowledge of analog video formats. E3. Achieve a basic understanding of time-space sampling. E4. Achieving knowledge and understanding of the conversion of interlaced to progressive. E5. Achieving knowledge and understanding of the conversion of interlaced to progressive. E6. Acquire a basic understanding of noise reduction and video restoration. E7. Understanding the problem of motion estimation and analysis. E8. Acquire basics robust video transmission. E9. Achieve a basic understanding of the secure transmission of video. |
Cross-disciplinary competences: Those that are required in the exercise of Any-UIER degree or career (verbal and written communication, analytical and systemic thinking, problem solving, creativity, etc..). They are classified into:
• Instrumental: include cognitive, methodological, and linguistic cnológicas you. (Eg, ability to organize and plan, ability to properly omunicarse c orally and written in Catalan, Castilian and / or English, both to audienci as expert and inexperienced).
• Interpersonal: skills are defined as r tend to facilitate the processes of social interaction and cooperation. (Ex: ability to work in grup or expression of ethical / social).
• Systemic or integrative: suppose a combination of understanding and knowledge SENSITIVITY let see how it grouped and established ones relationship between parts of a whole. These skills require as a basis, p revia acquisition of instrumental and interpersonal skills. (Ex: ability to adapt for New years learning contexts
Specific competencies are related to the knowledge and practices ncretas grade co. (Eg ability to describe, program, validate and optimize czar communication protocols and interfaces at different levels of network architecture)
The evaluation will be continued and evaluation mechanisms of competencies are:
| Characteristics | Moment | Recuperable | |
|---|---|---|---|
| Tests |
Written Test (Final Exam) |
50% |
Recuperable |
| Partial Test |
1st Partial Test |
Up to 15% |
Non recuperable |
| Labs |
Laboratories (report, code |
50% |
Non recuperable |
To pass the course, the final of both the written test and the practices must be at least 5. Otherwise, the final grade will be minimum between the final grade and practices.
Should you meet the above condition, the final grade will be calculated using the following formula:
Nota_final = 0.5 · Test_Grade + 0.5 · Lab_Grade + 0.15 · 1st_Partial_Test_Grade
If the grade exceeds 10 will be truncated, but the value will be taken into account for honors.
Blog Content 1: Training perception and representation of video. Introduction. Analog video. PAL and NTSC. Spatio-temporal sampling.
Blog Content 2: Filtering and analysis of digital video. Conversion of interlaced to progressive. Frame-rate conversion. reduction sound and video restoration. Motion analysis.
Blog Content 3: video processing applications. Track objects of interest through a video stream (object tracking), spatio-temporal segmentation of relevant video content. other application of state of the art.
The methodology of this course combines lectures to explain the teacher to work individually and in group sessions conducted by students in practices (group average) and workshop (small group). In particular, the work inside and outside the classroom is organized as follows:
| In-class activity | Out-of-class activity | ||||
|---|---|---|---|---|---|
| Topic | Full group | Medium group | Small group | ||
|
1 |
4 |
2 |
2 |
10 |
|
|
2 |
10 |
6 |
4 |
30 |
|
|
3 |
4 | 2 | 2 |
10 |
|
|
Exam |
10 |
||||
|
Total: |
18 |
10 |
8 |
64 |
Total: 100 |
Textbooks:
• Yao Wang, Joern Ostermann, Ya-Qin Zhang, "Video Processing and Communications "by Prentice Hall, 2002.
• M. Tekalp. Digital Video Processing, Prentice Hall, 1995.
• Emilio Maggio, Andrea Cavallaro, Video Tracking: Theory and Practice, Wiley, In 2011.
Further reading:
• J. Watkinson, "The Art of Digital Video", 3rd edition, Focal Press, 2000.
• K. Jack, "Video Demystified", 3rd edition, Llh Technology Publishing, 2001.
• M.I. Sežana and R.L. Lagendijk, "Motion Analysis and Image Sequence Processing ", edited by, Kluwer Academic Publishers, 1993.
• W.F. Schreiber, "Fundamentals of Electronic Imaging Systems," SpringerVerlag, 3rd edition, 1993.
Teaching resources and teaching materials:
Each classroom session will correspond teaching materials that teachers will available to students through classroom Moodle Course. this material will go from notes, supplementary texts, articles for the theory sessions, worksheets for the seminar sessions, practical guide to information sources for several practice sessions.