Conventional database systems are designed for managing textual and numerical data, and
retrieving such data is often based on simple comparisons of text/numerical values …

Color histograms are used to compare images in many applications. Their advantages are
efficiency, and insensitivity to small changes in camera viewpoint. However, color …

Multiple-Instance learning is a way of modeling ambiguity in supervised learning examples.
Each example is a bag of instances, but only the bag is labeled-not the individual instances …

Color histograms are widely used for content-based image retrieval. Their advantages are
efficiency, and insensitivity to small changes in camera viewpoint. However, a histogram is a …

The growth of digital image and video archives is increasing the need for tools that
effectively filter and efficiently search through large amounts of visual data. Towards this …

We define a new image feature called the color correlogram and use it for image indexing
and comparison. This feature distills the spatial correlation of colors and when computed …

Video retrieval is increasingly based on image content. A number of studies on video
retrieval have used low-level pixel content related to statistical moments, shape, colour and …

Color histograms are widely used for content-based image retrieval due to their efficiency
and robustness. However, a color histogram only records an image's overall color …

The histogram of image intensities is used extensively for recognition and for retrieval of
images and video from visual databases. A single image histogram, however, suffers from …

Storage and retrieval of multimedia has become a requirement for many contemporary
information systems. These systems need to provide browsing, querying, navigation, and …