期刊
VISION RESEARCH
卷 116, 期 -, 页码 165-178出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.visres.2015.03.005
关键词
Image memorability; Eye movements; Scene dataset; Fine-grained categories; Visual distinctiveness; Context
资金
- National Science Foundation [1016862]
- Xerox
- MIT Big Data Initiative at CSAIL
- Natural Sciences and Engineering Research Council of Canada
- National Science Foundation Graduate Research Fellowship
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1016862] Funding Source: National Science Foundation
Previous studies have identified that images carry the attribute of memorability, a predictive value of whether a novel image will be later remembered or forgotten. Here we investigate the interplay between intrinsic and extrinsic factors that affect image memorability. First, we find that intrinsic differences in memorability exist at a finer-grained scale than previously documented. Second, we test two extrinsic factors: image context and observer behavior. Building on prior findings that images that are distinct with respect to their context are better remembered, we propose an information-theoretic model of image distinctiveness. Our model can automatically predict how changes in context change the memorability of natural images. In addition to context, we study a second extrinsic factor: where an observer looks while memorizing an image. It turns out that eye movements provide additional information that can predict whether or not an image will be remembered, on a trial-by-trial basis. Together, by considering both intrinsic and extrinsic effects on memorability, we arrive at a more complete and finegrained model of image memorability than previously available. (C) 2015 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据