In this paper a prototype system is described for the management and content-based retrieval of defect images in huge image databases. This is a real problem in surface inspection...
The C-BRAHMS project develops computational methods for content-based retrieval and analysis of music data. A summary of the recent algorithmic and experimental developments of th...
This paper describes interfaces for a suite of three recently developed techniques to facilitate content-based access to large image and video repositories. Two of these techniques...
One of the challenges in image and video retrieval is the content-based retrieval of images and videos in the web. Less work has been done in this area, mainly due to scalability i...
Ricardo A. Baeza-Yates, Javier Ruiz-del-Solar, Rod...
In this paper we present a novel system for content-based retrieval and classification of cultural relic images. First, the images are normalized to achieve rotation, translation a...
The aim of the Dublin City University’s participation in the CLEF 2005 ImageCLEF St Andrew’s Collection task was to explore an alternative approach to exploiting text annotatio...
Overcoming the semantic-feature gap and adapting to context are two main challenges in content-based retrieval. The problem is even more complicated for unstructured videos such a...
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...