Sanders Series Lecture
Speaker
Maneesh Agrawala: Storytelling Tools
2017-09-21 12:30 at Autodesk Research
Storytelling Tools
Storytelling is essential for communicating ideas. When they are well told, stories help us make sense of information, appreciate cultural or societal differences, and imagine living in entirely different worlds. Audio/visual stories in the form of radio programs, books-on-tape, podcasts, television, movies and animations, are especially powerful because they provide a rich multisensory experience. Technological advances have made it easy to capture stories using the microphones and cameras that are readily available in our mobile devices, But, the raw media rarely tells a compelling story.
The best storytellers carefully compose, filter, edit and highlight the raw media to produce an engaging piece. Yet, the software tools they use to create and manipulate the raw audio/video media (e.g. Pro Tools, Premiere, Final Cut Pro, Maya etc.) force storytellers to work at a tediously low-level – selecting, filtering, cutting and transitioning between audio/video frames. While these tools provide flexible and precise control over the look and sound of the final result, they are notoriously difficult to learn and accessible primarily to experts. In this talk I’ll present recent projects that aim to significantly reduce the effort required to edit and produce high-quality audio/visual stories.
About Prof. Agrawala
Maneesh Agrawala is the Forest Baskett Professor of Computer Science and Director of the Brown Institute for Media Innovation at Stanford University. He works on computer graphics, human computer interaction and visualization. His focus is on investigating how cognitive design principles can be used to improve the effectiveness of audio/visual media. The goals of this work are to discover the design principles and then instantiate them in both interactive and automated design tools. He received an Okawa Foundation Research Grant (2006), an Alfred P. Sloan Foundation Fellowship (2007), an NSF CAREER Award (2007), a SIGGRAPH Significant New Researcher Award (2008), a MacArthur Foundation Fellowship (2009), and an Allen Distinguished Investigator Award (2014)