IAT - Image Annotation Tool: Manual

An interactive tool for manual, semi-automatic and automatic video annotation

The annotation of image and video data of large datasets is a fundamental task in multimedia information retrieval and computer vision applications. The aim of annotation tools is to relieve the user from the burden of the manual annotation as much as possible. To achieve this ideal goal, many different functionalities are required in order to make the annotations process as automatic as possib...

BioQRator: a web-based interactive biomedical literature curating system

BioQRator (http://www.bioqrator.org) is a web-based annotation tool for biomedical literature. This tool was designed to support any task annotating entities and relationships. It is also one of the first web tools which support the BioC format (1) for annotation. For input, any documents in the BioC format and PubMed R abstracts can be used. For output, annotated documents can be saved in a Bi...

Fuzzy Neighbor Voting for Automatic Image Annotation

With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper,...

Tags Re-ranking Using Multi-level Features in Automatic Image Annotation

Automatic image annotation is a process in which computer systems automatically assign the textual tags related with visual content to a query image. In most cases, inappropriate tags generated by the users as well as the images without any tags among the challenges available in this field have a negative effect on the query's result. In this paper, a new method is presented for automatic image...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models