Similarity Query Postprocessing by Ranking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057261" target="_blank" >RIV/00216224:14330/12:00057261 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-27169-4_12" target="_blank" >http://dx.doi.org/10.1007/978-3-642-27169-4_12</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-27169-4_12" target="_blank" >10.1007/978-3-642-27169-4_12</a>
Alternative languages
Result language
angličtina
Original language name
Similarity Query Postprocessing by Ranking
Original language description
Current multimedia search technology is, especially in commercial applications, heavily based on text annotations. However, there are many applications such as image hosting web sites (e.g. Flickr or Picasa) where the text metadata are of poor quality ingeneral. Searching such collections only by text gives usually rather unsatisfactory results. On the other hand, multimedia retrieval systems based purely on content can retrieve visually similar results but lag behind with the ability to grasp the semantics expressed by text annotations. In this paper, we propose various ranking techniques that can be transparently applied on any content-based retrieval system in order to improve the search results quality and user satisfaction. We demonstrate the usefulness of the approach on two large real-life datasets indexed by the MUFIN system. The improvement of the ranked results was evaluated by real users using an online survey.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Adaptive Multimedia Retrieval. Context, Exploration, and Fusion, LNCS 6817
ISBN
9783642271687
ISSN
0302-9743
e-ISSN
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Number of pages
15
Pages from-to
159-173
Publisher name
Springer-Verlag
Place of publication
Berlin
Event location
Linz, Austria
Event date
Aug 17, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000306440900012