Understanding and Predicting Image Memorability at a Large Scale
Progress in estimating visual memorability has been limited by the small scale and lack of variety of benchmark data. Here, we introduce a novel experimental procedure to objectively measure human memory, allowing us to build LaMem, the largest annotated image memorability dataset to date (containin...
Main Authors: | Khosla, Aditya, Raju, Akhil G., Torralba, Antonio, Oliva, Aude |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2017
|
Online Access: | http://hdl.handle.net/1721.1/112993 https://orcid.org/0000-0002-0007-3352 https://orcid.org/0000-0003-4915-0256 |
Similar Items
-
Memorability of image regions
by: Khosla, Aditya, et al.
Published: (2020) -
Image memorability and visual inception
by: Khosla, Aditya, et al.
Published: (2014) -
Modifying the Memorability of Face Photographs
by: Khosla, Aditya, et al.
Published: (2014) -
Measuring and modifying the intrinsic memorability of images
by: Raju, Akhil (Akhil G.)
Published: (2016) -
What Makes a Photograph Memorable?
by: Isola, Phillip John, et al.
Published: (2014)