GWAT: The Geneva Affective Picture Database WordNet Annotation Tool
Marko Horvat, Dujo Duvnjak, Davor Jug

TL;DR
GWAT is an easy-to-use web tool that enables manual annotation of images in the Geneva Affective Picture Database with WordNet synsets, enhancing semantic description and research utility.
Contribution
It introduces a user-friendly annotation tool that allows detailed semantic labeling of images with WordNet synsets, improving upon previous general keyword approaches.
Findings
Supports multiple synset annotations per image.
Enables browsing and editing of annotations.
Exports annotations for third-party use.
Abstract
The Geneva Affective Picture Database WordNet Annotation Tool (GWAT) is a user-friendly web application for manual annotation of pictures in Geneva Affective Picture Database (GAPED) with WordNet. The annotation tool has an intuitive interface which can be efficiently used with very little technical training. A single picture may be labeled with many synsets allowing experts to describe semantics with different levels of detail. Noun, verb, adjective and adverb synsets can be keyword-searched and attached to a specific GAPED picture with their unique identification numbers. Changes are saved automatically in the tool's relational database. The attached synsets can be reviewed, changed or deleted later. Additionally, GAPED pictures may be browsed in the tool's user interface using simple commands where previously attached WordNet synsets are displayed alongside the pictures. Stored…
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Taxonomy
TopicsImage Retrieval and Classification Techniques · Biomedical Text Mining and Ontologies · Advanced Image and Video Retrieval Techniques
