G. Fritz, Ch. Seifert, L. Paletta, Horst Bischof  Home/Search
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Abstract: A major task of visual attention is to focus processing on regions of interest to enable rapid and robust object search. Instead of integrating generic feature extraction into object specific interpretation we strictly pursue a top-down approach. Early features are tuned to selectively respond to task related visual features, i.e., locally discriminative information that is useful in object recognition. In this work we determine discriminative regions from the information content in the local... (Update)
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0.8: Rapid Object Recognition from Discriminative Regions of .. - Fritz, Seifert.. (Correct)
0.7: Object Recognition Using Local Information Content - Fritz, Paletta, Bischof (2004) (Correct)
0.7: Learning to Focus Attention on Discriminative.. - Fritz, Seifert.. (2004) (Correct)
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BibTeX entry: (Update)
@misc{ fritz-attentive,
author = "G. Fritz and Ch. Seifert and L. Paletta and Horst Bischof",
title = "Attentive Object Detection Using an Information Theoretic Saliency Measure",
url = "citeseer.ist.psu.edu/726831.html" }
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5 Context based object detection from video (context) - Paletta, Greindl - 2003
5 Visual recognition using local appearance (context) - de Verdiere, Crowley - 1998
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