The briefest of glances: the time course of natural scene understanding.

The briefest of glances: the time course of natural scene understanding.
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DOI:
10.1111/j.1467-9280.2009.02316.x
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发表时间:
2009-04
影响因子:
8.2
通讯作者:
Oliva A
Oliva A
中科院分区:
心理学1区
文献类型:
--
作者:
Greene MR;Oliva A

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从对一个新奇场景的短暂一瞥中可以获得什么信息?虽然以前的努力来回答这个问题集中在场景分类或对象检测,现实世界的场景包含了丰富的信息,其感知的可用性还有待探讨。我们比较了几个任务中的图像曝光阈值,涉及基本级别分类或全局属性分类。所有阈值都非常短:观察员实现了75%的正确性能与演示范围从19到67毫秒,达到最大性能在约100毫秒。全局属性分类进行了显着更少的演示时间比基本级别的分类,这表明,有一个时间在早期的视觉处理时,一个场景可以被分类为,例如,一个大的空间或可航行的,但还不是一个山或湖。比较视觉信息的相对可用性揭示了意义积累的瓶颈。理解这些瓶颈为快速视觉理解的计算提供了重要的见解。
What information is available from a brief glance at a novel scene? Although previous efforts to answer this question have focused on scene categorization or object detection, real-world scenes contain a wealth of information whose perceptual availability has yet to be explored. We compared image exposure thresholds in several tasks involving basic-level categorization or global-property classification. All thresholds were remarkably short: Observers achieved 75%-correct performance with presentations ranging from 19 to 67 ms, reaching maximum performance at about 100 ms. Global-property categorization was performed with significantly less presentation time than basic-level categorization, which suggests that there exists a time during early visual processing when a scene may be classified as, for example, a large space or navigable, but not yet as a mountain or lake. Comparing the relative availability of visual information reveals bottlenecks in the accumulation of meaning. Understanding these bottlenecks provides critical insight into the computations underlying rapid visual understanding.
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