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Both the way we look at data, through a DBMS, and the nature of data we ask a DBMS to manage have drastically evolved over the last decade, moving from text to images (and to sound to a lesser extent). Visual representations are used extensively within new user interfaces. Powerful visual approaches are being experimented for data manipulation, including the investigation of three dimensional display techniques. Similarly, sophisticated data visualization techniques are dramatically improving the understanding of the information extracted from a database. On the other hand, more and more applications use images as basic data or to enhance the quality and richness of data manipulation services. Image management has opened a wide area of new research topics in image understanding and analysis. The IFIP 2.6 Working Group on Databases strongly believes that a significant mutual enrichment is possible by confronting ideas, concepts and techniques supporting the work of researcher and practitioners in the two areas of visual interfaces to DBMS and DBMS management of visual data. For this reason, IFIP 2.6 has launched a series of conferences on Visual Database Systems. The first one has been held in Tokyo, 1989. VDB-2 was held in Budapest, 1991. This conference is the third in the series. As the preceding editions, the conference addresses researchers and practitioners active or interested in user interfaces, human-computer communication, knowledge representation and management, image processing and understanding, multimedia database techniques and computer vision.
Both the way we look at data, through a DBMS, and the nature of data we ask a DBMS to manage have drastically evolved over the last decade, moving from text to images (and to sound to a lesser extent). Visual representations are used extensively within new user interfaces. Powerful visual approaches are being experimented for data manipulation, including the investigation of three dimensional display techniques. Similarly, sophisticated data visualization techniques are dramatically improving the understanding of the information extracted from a database. On the other hand, more and more applications use images as basic data or to enhance the quality and richness of data manipulation services. Image management has opened a wide area of new research topics in image understanding and analysis. The IFIP 2.6 Working Group on Databases strongly believes that a significant mutual enrichment is possible by confronting ideas, concepts and techniques supporting the work of researcher and practitioners in the two areas of visual interfaces to DBMS and DBMS management of visual data. For this reason, IFIP 2.6 has launched a series of conferences on Visual Database Systems. The first one has been held in Tokyo, 1989. VDB-2 was held in Budapest, 1991. This conference is the third in the series. As the preceding editions, the conference addresses researchers and practitioners active or interested in user interfaces, human-computer communication, knowledge representation and management, image processing and understanding, multimedia database techniques and computer vision.
In many of nowadays web-based environments for electronic marketing and commerce, that present large multimedia product and service catalogues, it becomes more and more difficult to provide naive end users, such as private consumers or commercial business partners, with intuitive user interfaces to access the large multimedia collections describing the presented products and services. The same holds for marketing managers and other employees responsible for managing and maintaining the large and constantly changing set of multimedia information chunks and fragments contained in these collections. As a consequence, many efforts are devoted to improve the quality of the interaction between users and databases. Virtual Reality (VR) techniques are a promising interaction paradigm particularly suited to novice and/or occasional users. The users are facilitated in the database navigation since the system proposes them an environment that reproduces a real situation and gives the possibility of interacting by manipulating objects that have a direct correspondence with known objects.
This book is a thoroughly arranged anthology outlining the state of the art in the emerging area of visual informationsystems. The chapters presented are a selection of thoroughly refereed and revised full papers first presented at the First International Conference on visual Information Systems held in February 1996. Next generation information systems have a high visual content, and there will be a shift in emphasis from a paradigm of predominantly alphanumeric data processing to one of visual information processing. The book provides a detailed introductory chapter, two keynotes by leading authorities, sections on design and architecture, database management and modelling, contend-based search and retrieval, feature extraction and indexing, query model and interface, and object recognition and content organization.
The visual way of expressing and comprehending information is perhaps the most ancient, immediate and effective way. Image processing and database technologies came of age during the Eighties, though a new challenge arose from the need to handle not only the complexity of pictures, but also a large volume of pictures. Extending database technologies to capture visual aspects is an exciting new research area. This second volume highlights the latest results from leading laboratories all over the world, identifying new research directions. Main subject areas include: theory of spatial representations; image indexing and query techniques; visual and multimedia data structures; visual interfaces and object oriented approaches; and access and search methodologies on moving pictures.
Video segmentation is the most fundamental process for appropriate index ing and retrieval of video intervals. In general, video streams are composed 1 of shots delimited by physical shot boundaries. Substantial work has been done on how to detect such shot boundaries automatically (Arman et aI. , 1993) (Zhang et aI. , 1993) (Zhang et aI. , 1995) (Kobla et aI. , 1997). Through the inte gration of technologies such as image processing, speech/character recognition and natural language understanding, keywords can be extracted and associated with these shots for indexing (Wactlar et aI. , 1996). A single shot, however, rarely carries enough amount of information to be meaningful by itself. Usu ally, it is a semantically meaningful interval that most users are interested in re trieving. Generally, such meaningful intervals span several consecutive shots. There hardly exists any efficient and reliable technique, either automatic or manual, to identify all semantically meaningful intervals within a video stream. Works by (Smith and Davenport, 1992) (Oomoto and Tanaka, 1993) (Weiss et aI. , 1995) (Hjelsvold et aI. , 1996) suggest manually defining all such inter vals in the database in advance. However, even an hour long video may have an indefinite number of meaningful intervals. Moreover, video data is multi interpretative. Therefore, given a query, what is a meaningful interval to an annotator may not be meaningful to the user who issues the query. In practice, manual indexing of meaningful intervals is labour intensive and inadequate.