Saikishore Kalloori Saikishore: Catalogue data in Autumn Semester 2020

Name Dr. Saikishore Kalloori Saikishore
Informatik (Computergraphik)
ETH Zürich, STF F 124
Stampfenbachstrasse 114
8092 Zürich
Telephone+41 44 632 42 75
DepartmentComputer Science

252-5707-00LSeminar on Media Innovation Information Restricted registration - show details
Number of participants limited to 24.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
2 credits2SM. Gross, S. Kalloori Saikishore, S. Klingler
AbstractThis seminar introduces students to research and innovation in the area of media technology.
ObjectiveThe objectives of this seminar are twofold: (1) learning about recent developments in the area of media technology at the intersection of computer vision, computer graphics, natural language processing, and machine learning and (2) to improve presentation and critical analysis skills.
ContentThe media industry is undergoing a fundamental transformation caused by digitalization. Media consumption is shifting away from traditional media such as TV or newspaper towards mobile and delayed consumption. The boundaries between media producers and consumers are getting blurred, and personalized content is increasingly important. Machine learning and AI are crucial tools to help to create better content, understand the consumers’ preferences and surface the essential stories in times of information overload.

This seminar introduces students to the latest research in the field of media technology and innovation. It is an exciting field laying at the intersection of computer vision, computer graphics, natural language processing, and machine learning. The seminar will cover a broad spectrum of topics considering not only the technical innovations but also the possibilities these technologies provide to professionals in the media industry and consumers of media.