Multiresolution attention and associative memory systems for time-varying imagery

Vicente Concepcion, H. Wechsler
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引用次数: 5

Abstract

This paper describes a vision system that integrates attention and recognition systems using active (where and what to sense) and selective (how to control the stream of computation) perception. Both time-varying imagery input and recognition memory are organized as pyramids and a uniform indexing and classification interface is established. The tools discussed in this paper include the use of: (1) scale-space representation using wavelet pyramids; (2) hierarchical, localized, and robust indexing and classification of the feature models using distributed associative memory; and (3) adaptive saccade and zoom strategies guided by saliency in determining focus of attention to locate and identify target objects.
时变图像的多分辨率注意和联想记忆系统
本文描述了一个集成了注意和识别系统的视觉系统,该系统使用主动感知(感知何处和感知什么)和选择性感知(如何控制计算流)。将时变图像输入和识别记忆组织成金字塔状,建立统一的索引和分类接口。本文讨论的工具包括:(1)使用小波金字塔的尺度空间表示;(2)利用分布式联想记忆对特征模型进行分层、局部和鲁棒的索引和分类;(3)以显著性为导向确定注意焦点的自适应扫视和变焦策略,以定位和识别目标物体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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