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  Performance Prediction for Vocabulary-Supported Image Retrieval

Vogel, J., & Schiele, T. (2001). Performance Prediction for Vocabulary-Supported Image Retrieval. In 2001 International Conference on Image Processing (pp. 753-756). Piscataway, NJ, USA: IEEE.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-E1FA-F Version Permalink: https://hdl.handle.net/21.11116/0000-0005-A86F-2
Genre: Conference Paper

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=958603 (Publisher version)
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 Creators:
Vogel, J1, Author           
Schiele, T, Author
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1External Organizations, ou_persistent22              

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 Abstract: The majority of today's content based image retrieval systems rely on low-level image descriptors which limit their capability to support meaningful interactions with the users. Even though relevance feedback helps, most of the current interaction paradigms are far from the semantic representations which most people use to categorize and describe image content. Therefore we propose a concept called ``vocabu-la-ry-suppor-ted image retrieval'' which aims to enable the user to access an image database in a more natural way. In particular this paper develops a technique to predict the system's performance with respect to the user query. This allows the system to translate the user query into an internal query which may satisfy predefined criteria such as precision and recall rates. In addition, given the performance parameters of the system's sub-components, the feasibility and the success of the retrieval process can be evaluated beforehand and optimized dynamically online.

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 Dates: 2001-10
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 3219
DOI: 10.1109/ICIP.2001.958603
 Degree: -

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Title: International Conference on Image Processing (ICIP 2001)
Place of Event: Thessaloniki, Greece
Start-/End Date: 2001-10-07 - 2001-10-10

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Title: 2001 International Conference on Image Processing
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 753 - 756 Identifier: ISBN: 0-7803-6725-1