Abstract
In the previous chapter, we introduced several computational attention systems of the current state of the art and discussed their characteristics and limitations. In this and the following chapters, we present the new visual attention system VOCUS (Visual Object detection with a CompUtational attention System) which extends and outperforms the current approaches in several aspects, yielding an innovative, efficient, and robust system for detecting regions of interest. We start by introducing the bottom-up part of VOCUS that detects saliencies based merely on the image data in this chapter before we consider top-down influences in chapter 5.
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© 2006 Springer-Verlag Berlin Heidelberg
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Frintrop, S. (2006). 4 The Visual Attention System VOCUS: Bottom-Up Part. In: VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search. Lecture Notes in Computer Science(), vol 3899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11682110_4
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DOI: https://doi.org/10.1007/11682110_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32759-2
Online ISBN: 978-3-540-32760-8
eBook Packages: Computer ScienceComputer Science (R0)