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 ...
We describe a subsystem of a content-based image retrieval (CBIR) environment that supports a user in the definition of image similarity. Out of a single image or a set of query i...
For content level access, very often database needs the query as a sample image. However, the image may contain private information and hence the user does not wish to reveal the ...
: Managing image data in a database system using metadata has been practiced since the last two decades. However, describing an image fully and adequately with metadata is practica...
Digital forensic investigators are often faced with the task of manually examining a large number of (photographic) images in order to identify potential evidence. The task can be...
Yixin Chen, Vassil Roussev, Golden G. Richard III,...