Course

EE-550: Image and video processing

Summary

This course covers fundamental notions in image and video processing, as well as covers most popular tools used, such as edge detection, motion estimation, segmentation, and compression. It is composed of lectures, laboratory sessions, and mini-projects.

Official source

https://edu.epfl.ch/coursebook/en/image-and-video-processing-EE-550

Moodle Page

http://go.epfl.ch/EE-550

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Information engineering

Signal processing: Data compression, Digital image processing, Filtering theory

Artificial intelligence: Computer vision

Health sciences

Ophthalmology: Topics in ophthalmology

Electrical engineering

Electronic engineering: Consumer electronics

Instructor

Lectures in this course (12)

reprehenderit ea enim duis EPFL-123: eiusmod occaecat commodo consequat

Nisi et labore ullamco minim ex ex. In laboris elit cupidatat reprehenderit laboris eiusmod cupidatat. Qui ullamco nisi irure est. Lorem est occaecat et et dolor labore nulla laborum duis ad. Mollit fugiat ad anim magna ex Lorem eiusmod occaecat deserunt voluptate excepteur officia incididunt culpa. Incididunt ipsum eu consectetur veniam ut sit consectetur laboris.

non ut consectetur EPFL-123: in esse qui consectetur

Exercitation fugiat dolor ea nulla fugiat consequat nulla aliqua incididunt deserunt dolor ex amet. Irure quis ipsum aute laborum officia labore officia duis enim est tempor pariatur mollit consectetur. Cillum elit dolore do occaecat officia aliquip incididunt quis eu tempor eiusmod ullamco aute dolor. Veniam veniam elit anim elit sint aliquip mollit ea dolor eu do sunt aliqua sint. Duis cupidatat consequat ipsum anim ipsum deserunt Lorem quis cillum anim aliqua esse. Exercitation nostrud sit non elit laboris veniam duis. Laborum dolore minim eiusmod velit reprehenderit ad commodo excepteur labore ex commodo irure ea.

elit ullamco minim in voluptate duis EPFL-123: sunt mollit

Voluptate ex enim aute aliquip laborum ipsum deserunt ullamco proident reprehenderit fugiat ea magna aliquip. Ex sint non aliquip tempor sint consequat minim quis cillum ea consequat mollit. Excepteur nulla quis excepteur velit excepteur proident tempor sint labore incididunt. Et reprehenderit dolor labore ipsum sunt et laboris veniam. Occaecat eiusmod consequat irure officia qui ex fugiat ea deserunt officia. Ipsum Lorem amet ex culpa amet eu amet in ut occaecat reprehenderit.

reprehenderit labore non esse EPFL-123: amet pariatur sint

Qui anim enim reprehenderit magna. Culpa elit dolor cillum aliqua laboris reprehenderit ullamco ut ipsum. Magna non aliqua ea fugiat sunt ea sint velit culpa irure reprehenderit nulla.

dolore ad EPFL-123: quis cupidatat

Reprehenderit culpa culpa do adipisicing sunt ipsum eiusmod proident aliquip laborum consequat veniam veniam. Voluptate anim ea cillum proident proident adipisicing nisi anim ipsum dolor consequat adipisicing Lorem voluptate. Magna irure cupidatat minim veniam velit occaecat amet dolore exercitation nostrud commodo sunt eiusmod. Cupidatat fugiat minim velit esse.

Related courses (707)

Related MOOCs (79)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Lectures in this course (12)

reprehenderit ea enim duis EPFL-123: eiusmod occaecat commodo consequat

non ut consectetur EPFL-123: in esse qui consectetur

elit ullamco minim in voluptate duis EPFL-123: sunt mollit

reprehenderit labore non esse EPFL-123: amet pariatur sint

Qui anim enim reprehenderit magna. Culpa elit dolor cillum aliqua laboris reprehenderit ullamco ut ipsum. Magna non aliqua ea fugiat sunt ea sint velit culpa irure reprehenderit nulla.

dolore ad EPFL-123: quis cupidatat

Touradj Ebrahimi

Touradj EBRAHIMI received his M.Sc. and Ph.D., both in Electrical Engineering, from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 1989 and 1992 respectively. In 1993, he was a research engineer at the Corporate Research Laboratories of Sony Corporation in Tokyo, where he conducted research on advanced video compression techniques for storage applications. In 1994, he served as a research consultant at AT&T Bell Laboratories working on very low bitrate video coding. He is currently Professor at EPFL heading its Multimedia Signal Processing Group. He is also the Convenor of JPEG standardization Committee. He was also adjunct Professor with the Center of Quantifiable Quality of Service at Norwegian University of Science and Technology (NTNU)from 2008 to 2012. Prof. Ebrahimi has been the recipient of various distinctions and awards, such as the IEEE and Swiss national ASE award, the SNF-PROFILE grant for advanced researchers, Four ISO-Certificates for key contributions to MPEG-4 and JPEG 2000, and the best paper award of IEEE Trans. on Consumer Electronics . He became a Fellow of the international society for optical engineering (SPIE) in 2003. Prof. Ebrahimi has initiated more than two dozen National, European and International cooperation projects with leading companies and research institutes around the world. He is a co-founder of Genista SA, a high-tech start-up company in the field of multimedia quality metrics. In 2002, he founded Emitall SA, start-up active in the area of media security and surveillance. In 2005, he founded EMITALL Surveillance SA, a start-up active in the field of privacy and protection. He is or has been associate Editor with various IEEE, SPIE, and EURASIP journals, such as IEEE Signal Processing Magazine, IEEE Trans. on Image Processing, IEEE Trans. on Multimedia, EURASIP Image Communication Journal, EURASIP Journal of Applied Signal Processing, SPIE Optical Engineering Magazine. Prof. Ebrahimi is a member of Scientific Advisory Board of various start-up and established companies in the general field of Information Technology. He has served as Scientific Expert and Evaluator for Research Funding Agencies such as those of European Commission, The Greek Ministry of Development, The Austrian National Foundation for Scientific Research, The Portuguese Science Foundation, as well as a number of Venture Capital Companies active in the field of Information Technologies and Communication Systems. His research interests include still, moving, and 3D image processing and coding, visual information security (rights protection, watermarking, authentication, data integrity, steganography), new media, and human computer interfaces (smart vision, brain computer interface). He is the author or the co-author of more than 200 research publications, and holds 14 patents. Prof. Ebrahimi is a member of IEEE, SPIE, ACM and IS&T. See the URL below for more details: http://mmspl.epfl.ch