We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
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...
This paper presents the results of the University at Buffalo in the 2006 ImageCLEFmed task. Our approach for this task combines Content Based Image Retrieval (CBIR) and text retrie...
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...
Most of the existing image retrieval systems take the textual query from the user and utilize the metadata associated with the database images to retrieve the result. However, the...