Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/3992
Title: | Evaluating annotators consistency with the aid of an innovative database schema | Authors: | Georgiou, Olga Tsapatsoulis, Nicolas Theodosiou, Zenonas |
metadata.dc.contributor.other: | Γεωργίου, Όλγα Τσαπατσούλης, Νικόλας Θεοδοσίου, Ζήνωνας |
Major Field of Science: | Humanities | Field Category: | Arts | Keywords: | Semantics;Databases | Issue Date: | 2011 | Source: | 6th international workshop on semantic media adaptation and personalization (SMAP), 1-2 December 2011, Vigo, Pontevedra | Abstract: | Automatic semantic tagging of multimedia is still inefficient due to the difficulties in modelling abstract or complex terms using low level features. The degree of consensus and homogeneity in judgements among annotators is very important in semantic image and video retrieval. In this paper we present a novel method in evaluating the annotators consistency, which uses an innovative database schema and combines two different annotation approaches. A set of 100 images were annotated by 16 annotators using vocabulary keywords and free keywords. The results indicate that combination of annotation methods may lead to increased annotation consistency compared to a single method but this is not a general fact. As expected the use of free keywords and images require tagging that is not directly related to their content, lead to increase the annotators inconsistency | DOI: | 10.1109/SMAP.2011.22 | Rights: | © IEEE | Type: | Conference Papers | Affiliation : | Cyprus University of Technology |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Tsapatsoulis_Evaluating annotators_Presentation.pdf | 4.48 MB | Adobe PDF | View/Open |
CORE Recommender
SCOPUSTM
Citations
4
checked on Nov 6, 2023
Page view(s)
544
Last Week
0
0
Last month
3
3
checked on Dec 23, 2024
Download(s) 10
344
checked on Dec 23, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.