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  Image Retrieval with Semantic Sketches

Engel, D., Herdtweck, C., Browatzki, B., & Curio, C. (2011). Image Retrieval with Semantic Sketches. In P. Campos, N. Graham, J. Jorge, N. Nunes, P. Palanque, & M. Winckler (Eds.), Human-Computer Interaction: INTERACT 2011 (pp. 412-425). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BA4A-E Version Permalink: https://hdl.handle.net/21.11116/0000-0003-188D-4
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F978-3-642-23774-4_35.pdf (Publisher version)
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 Creators:
Engel, D1, 2, 3, Author           
Herdtweck, C1, 2, 3, Author           
Browatzki, B1, 2, Author           
Curio, C1, 2, 3, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_2528702              

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 Abstract: With increasingly large image databases, searching in them becomes an ever more difficult endeavor. Consequently, there is a need for advanced tools for image retrieval in a webscale context. Searching by tags becomes intractable in such scenarios as large numbers of images will correspond to queries such as “car and house and street”. We present a novel approach that allows a user to search for images based on semantic sketches that describe the desired composition of the image. Our system operates on images with labels for a few high-level object categories, allowing us to search very fast with a minimal memory footprint. We employ a structure similar to random decision forests which avails a data-driven partitioning of the image space providing a search in logarithmic time with respect to the number of images. This makes our system applicable for large scale image search problems. We performed a user study that demonstrates the validity and usability of our approach.

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 Dates: 2011-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-642-23774-4_35
BibTex Citekey: EngelBHC2011
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Title: 13th IFIP TC13 Conference on Human-Computer Interaction
Place of Event: Lisboa, Portugal
Start-/End Date: 2011-09-05 - 2011-09-09

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Title: Human-Computer Interaction: INTERACT 2011
Source Genre: Proceedings
 Creator(s):
Campos, P, Editor
Graham, N, Editor
Jorge, J, Editor
Nunes, N, Editor
Palanque, P, Editor
Winckler, M, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 412 - 425 Identifier: ISBN: 978-3-642-23774-4

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 6946 Sequence Number: - Start / End Page: - Identifier: -