Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 13th annual ACM international conference on Multimedia
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
A survey of methods for image annotation
Journal of Visual Languages and Computing
A comparative evaluation of interactive segmentation algorithms
Pattern Recognition
GAT: a Graphical Annotation Tool for semantic regions
Multimedia Tools and Applications
System architecture of a web service for Content-Based Image Retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
A survey of semantic image and video annotation tools
Knowledge-driven multimedia information extraction and ontology evolution
Interactive image segmentation by matching attributed relational graphs
Pattern Recognition
M-OntoMat-Annotizer: image annotation linking ontologies and multimedia low-level features
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
IEEE Transactions on Image Processing
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This paper presents GAT, a Graphical Annotation Tool for still images that works both at the global and local scales. This interface has been designed to assist users in the annotation of images with relation to the semantic classes described in an ontology. Positive, negative and neutral labels can be assigned to both the whole images or parts of them. The user interface is capable of exploiting segmentation data to assist in the selection of objects. Moreover, the annotation capabilities are complemented with additional functionalities that allow the creation and evaluation of an image classifier. The implemented Java source code is published under a free software license.