About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
Signal Processing: Image Communication
Paper
On describing color and shape information in images
Abstract
With more and more audio-visual information being available over the Web, the problem of multi-media indexing, i.e. efficient ways of searching and locating multimedia data in response to queries, has become increasingly important. Efficient content-based access, however, needs a good description and representation of multimedia information. In the paper, we present descriptors for color and shape information in images that we proposed for MPEG-7. In particular, we describe two ways of capturing color content in images called Color Histogram and Region Color. These descriptors are suitable for a wide variety of applications requiring image-to-image matching and object-to-image matching. We also present descriptors for capturing shape information on objects and within images called affine structure and location hash tree. These shape descriptors enable a pose-invariant localization and recognition of 2d patterns. The utility of color and shape descriptors is demonstrated through experiments on the MPEG-7 dataset.