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  How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye movements

Kienzle, W., Schölkopf, B., Wichmann, F., & Franz, M. (2007). How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye movements. In A. Hamprecht, C. Schnörr, & B. Jähne (Eds.), Pattern Recognition: 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007 (pp. 405-414). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-CBE3-B Version Permalink: https://hdl.handle.net/21.11116/0000-0003-D21C-1
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F978-3-540-74936-3_41.pdf (Publisher version)
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 Creators:
Kienzle, W1, 2, Author           
Schölkopf, B1, 2, Author           
Wichmann, F, Author           
Franz, MO1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Interest point detection in still images is a well-studied topic in computer vision.
In the spatiotemporal domain, however, it is still unclear which features indicate useful interest points. In this paper we approach the problem by emphlearning a detector from examples: we record eye movements of human subjects watching video sequences and train a neural network to predict which locations are likely to become eye movement targets. We show that our detector outperforms current spatiotemporal interest point architectures on a standard classification dataset.

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 Dates: 2007-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-540-74936-3_41
BibTex Citekey: 4486
 Degree: -

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Title: 29th Annual Symposium of the German Association for Pattern Recognition
Place of Event: Heidelberg, Germany
Start-/End Date: 2007-09-12 - 2007-09-14

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Source 1

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Title: Pattern Recognition: 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007
Source Genre: Proceedings
 Creator(s):
Hamprecht, AF, Editor
Schnörr, C, Editor
Jähne, B, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 405 - 414 Identifier: ISBN: 978-3-540-74933-2

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 4713 Sequence Number: - Start / End Page: - Identifier: -