About
When we look at our environment, we primarily pay attention to visually distinctive objects. We refer to these objects as visually important or salient. For efficient visual processing, the human visual system identifies salients objects and dedicates most of its processing resources to them. An analogous resource allocation can be performed by salient-object detection algorithms, which identify objects of interest in an image. Consequently, thanks to salient-object detection, complex visual computing operations can focus on the important parts of the visual data and can save time and resources.
About the speaker
Dr. Gokhan Yildirim is a research assistant in the School of Computer and Communication Sciences (IC) at the École Polytechnique Fédérale de Lausanne (EPFL). His research interests include image understanding, multimedia, pattern recognition, machine learning, salient-object detection on images & videos and its applications on image processing and computer vision. He completed his B.Sc. and M.Sc. degrees in Middle East Technical University (METU) in Turkey and his Ph.D. in EPFL. .
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The talk
Credits and licence
- Institution
- CERN
- Department
- CERN Computing Seminar
- Speaker
- Gökhan Dr. Yildirim
- Year
- 2015
- Language
- English
- Subjects
- Computer science
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed