In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Automatic image annotation empowers the user to search an image database using keywords, which is often a more practical option than a query-by-example approach. In this work, we p...
Image annotation plays an important role in image retrieval and management. However, the results of the state-of-the-art image annotation methods are often unsatisfactory. Therefo...
Changhu Wang, Feng Jing, Lei Zhang, HongJiang Zhan...
As more information sources become available in multimedia systems, the development of multimedia database management systems (MDBMSs) to efficiently model and search multimedia ...
Mei-Ling Shyu, Shu-Ching Chen, Rangasami L. Kashya...
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...