Abstract

Multimedia databases have attracted academic and industrial interest, and systems such as QBIC (Content Based Image Retrieval system from IBM) have been released. Such systems are essential to effectively and efficiently use the existing large collections of image data in the modern computing environment. The aim of such systems is to enable retrieval of images based on their contents. This problem has brought together the (decades old) database and image processing communities. As part of our research in this area, we are building a prototype CBIR system called CHITRA. This uses a four level data model, and we have defined a Fuzzy Object Query Language(FOQL) for this system. This system enables retrieval based on high level concepts, such as "retrieve images of MOUNTAINS", "retrieve images of MOUNTAINS and SUNSET". A problem faced in this system is processing of complex queries such as "retrieve all images that have similar color histogram AND similar texture to the given example imag...

Citations