Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

29

SAMT
2007
Springer

favoriteEmaildiscussreport

95views Multimedia» more SAMT 2007»

A Study of Vocabularies for Image Annotation

14 years 5 months ago

A Study of Vocabularies for Image Annotation

Download www.prip.tuwien.ac.at

Abstract. In order to evaluate image annotation and object categorisation algorithms, ground truth in the form of a set of images correctly annotated with text describing each image is required. Statistics on the WordNet categories of keywords collected from recent automated image annotation and object categorisation publications and evaluation campaigns are presented. These statistics provide a snapshot of keywords used to train and test current image annotation systems as well as information on the usefulness of WordNet for categorising them.

Allan Hanbury

Real-time Traffic

Image Annotation | Object Categorisation | Object Categorisation Algorithms | SAMT 2007 |

claim paper

Related Content

» A flexible framework for Web interfaces to image databases supporting userdefined ontologi...

» Optimization of Robust Loss Functions for WeaklyLabeled Image Taxonomies An ImageNet Case ...

» AnnoSearch Image AutoAnnotation by Search

» Annotating Images by Mining Image Search Results

» Using Annotations from Controlled Vocabularies to Find Meaningful Associations

» A survey of methods for image annotation

» Automatic Image Annotation by Mining the Web

» DINAH A Philological Platform for the Construction of Multistructured Documents

» Contour Grouping and Abstraction using Simple Part Models

Post Info
More Details (n/a)

Added	09 Jun 2010
Updated	09 Jun 2010
Type	Conference
Year	2007
Where	SAMT
Authors	Allan Hanbury

Comments (0)