A quantitative analysis of gaze in feature films
Abstract/Contents
- Abstract
- This thesis explores human gaze behavior in response to dynamic visual stimulus. In particular, we are interested in examining the role of high-level image features in attracting visual attention. One promising body of knowledge comes from cinema: film directors are masters at controlling what we look at when we watch a film. Over the last century, the visual and temporal structure of films has matured into a rich compendium of conventions addressing image composition, temporal discontinuities (edits), lighting, and so on. Simultaneously, viewers' understanding of the common film grammar has co-evolved. However, there has been very little quantitative analysis of how gaze responds to this type of highly structured content. We examine the relationship between cinematic features and gaze response, with implications not only for the future of media, but for display technology, immersive reality, and human cognition.
Description
Type of resource | text |
---|---|
Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2017 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Breeden, Katherine |
---|---|
Associated with | Stanford University, Computer Science Department. |
Primary advisor | Hanrahan, P. M. (Patrick Matthew) |
Thesis advisor | Hanrahan, P. M. (Patrick Matthew) |
Thesis advisor | Agrawala, Maneesh |
Thesis advisor | Card, Stuart K |
Advisor | Agrawala, Maneesh |
Advisor | Card, Stuart K |
Subjects
Genre | Theses |
---|
Bibliographic information
Statement of responsibility | Katherine Breeden. |
---|---|
Note | Submitted to the Department of Computer Science. |
Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Katherine Breeden
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...