Understanding Visual Scenes
published: Jan. 19, 2010, recorded: December 2009, views: 4140
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
One remarkable aspect of human vision is the ability to understand the meaning of a novel image or event quickly and effortlessly. Within a single glance, we can comprehend the semantic category of a place, its spatial layout as well as identify many of the objects that compose the scene. Approaching human abilities at scene understanding is a current challenge for computer vision systems. The field of scene understanding is multidisciplinary, involving a growing collection of works in computer vision, machine learning, cognitive psychology, and neuroscience. In this tutorial, we will focus on recent work on computer vision attempting to solve the tasks of scene recognition and classification, visual context representation, object recognition in context, drawing parallelism with work in psychology and neuroscience. Devising systems that solve scene and object recognition in an integrated fashion will lead towards more efficient and robust artificial visual understanding systems.
Download slides: nips09_torralba_uvs_01.pdf (43.9 MB)
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !