A Mobile Application for Keyword Search in Real-World Scenes

Using real-world scenes as contextual cues for search

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Gamification of Visual Search in Real World Scenes

How Chromaticity Guides Visual Search in Real-World Scenes

To study visual attention during search processes, numerous studies measured the selectivity of observers’ saccadic eye movements for local display features. These experiments almost entirely relied on simple, artificial displays with discrete search items and features. Recently, a first study on saccadic selectivity in real-world scenes was conducted, demonstrating visual guidance by low-level...

Object-based attention in real-world scenes.

We are continually confronted with more visual information than we can process in a given moment. In order to interact effectively with our environment, attentional mechanisms are used to select subsets of environmental properties for enhanced processing. Previous research demonstrated that spatial regions can be selected based on either their low-level feature or high-level semantic properties...

Color Object Recognition in Real-World Scenes

This work investigates the role of color in object recognition. We approach the problem from a computational perspective by measuring the performance of biologically inspired object recognition methods. As benchmarks, we use image datasets proceeding from a real-world object detection scenario and compare classification performance using color and gray-scale versions of the same datasets. In or...