Search-based image annotation: Extracting semantics from similar images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00081488" target="_blank" >RIV/00216224:14330/15:00081488 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-24027-5_36" target="_blank" >http://dx.doi.org/10.1007/978-3-319-24027-5_36</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-24027-5_36" target="_blank" >10.1007/978-3-319-24027-5_36</a>
Alternative languages
Result language
angličtina
Original language name
Search-based image annotation: Extracting semantics from similar images
Original language description
The importance of automatic image annotation as a tool for handling large amounts of image data has been recognized for several decades. However, working tools have long been limited to narrow-domain problems with a few target classes for which precise models could be trained. With the advance of similarity searching, it now becomes possible to employ a different approach: extracting information from large amounts of noisy web data. However, several issues need to be resolved, including the acquisitionof a suitable knowledge base, choosing a suitable visual content descriptor, implementation of effective and efficient similarity search engine, and extraction of semantics from similar images. In this paper, we address these challenges and present a working annotation system based on the search-based paradigm, which achieved good results in the 2014 ImageCLEF Scalable Concept Image Annotation challenge.
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
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 6th International Conference of the CLEF Association, CLEF 2015
ISBN
9783319240268
ISSN
0302-9743
e-ISSN
—
Number of pages
13
Pages from-to
327-339
Publisher name
Springer
Place of publication
Toulouse, France
Event location
Toulouse, France
Event date
Jan 1, 2015
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000364677800039