Modeling and Retrieving Images by Content

A content-based image retrieval system (CBIR) is required to effectively utilize information from image databases. Content-based retrieval is characterized by the ability of the system to retrieve relevant images based on their visual and semantic contents rather than by using atomic attributes or keywords assigned to them. In this paper, we provide a taxonomy for approaches to image retrieval and describe their characteristics and limitations. We examined a number of image database applications to discover their retrieval requirements and to structure the requirements from a domain independent perspective. This study enabled us to provide a taxonomy for image attributes and to propose a number of generic query operators. These operators are adequate to realize CBIR in a number of diverse applications. We propose a novel system architecture for CBIR that supports the generic query operators. The architecture is structured in a way to enable applications to inherit only those query oper..

A Unified Approach to Data Modeling for a Class of Image Database Applications

Recently, there has been widespread interest in various kinds of database management systems for managing information from images. Image Retrieval (IR) problem is concerned with retrieving images that are relevant to users' requests from a large collection of images, referred to as the image database. Since the application areas are very diverse, there seems to be no consensus as to what an image database system really is. Consequently, the features of the existing image database systems have essentially evolved from domain specific considerations. In response to this situation, we have introduced a unified framework for retrieval in image databases in [22]. Our approach to the image retrieval problem is based on the premise that it is possible to develop a data model and an associated retrieval model that can address the needs of a class of image retrieval applications. The key to domain independence is to separate the retrieval function from the image processing function. In this pap..

An Approach to Interactive Retrieval in Face Image Databases Based on Semantic Attributes

Image Retrieval (IR) problem is concerned with retrieving images that are relevant to users' requests from a large collection of images, referred to as the image database. A taxonomy for and the limitations of the existing approaches for image retrieval are discussed in [1]. Also, to alleviate some of the problems associated with these approaches, a unified framework for retrieval in image databases for a class of application areas is proposed in [1]. The framework provides a taxonomy for image attributes and identifies four generic types of retrieval bas... for RSA based on the repertory grid. The algorithm incorporates user relevance judgments as a means to deal with the inherent problems associated with the specification of semantic attributes. The algorithm is implemented and tested on the human face image database and the initial results are encouraging. In essence, we have developed an overall methodology/test bed to facilitate experimentation with different algorithms for RSA