By Ninad K. Jog, Ben Shneiderman (auth.), Prof. Stefano Spaccapietra, Ramesh Jain (eds.)
Both the best way we glance at information, via a DBMS, and the character of information we ask a DBMS to regulate have significantly developed over the past decade, relocating from textual content to pictures (and to sound to a lesser extent). visible representations are used greatly inside new consumer interfaces. robust visible techniques are being experimented for information manipulation, together with the research of 3 dimensional reveal options. equally, refined facts visualization innovations are dramatically bettering the certainty of the knowledge extracted from a database. nonetheless, an increasing number of functions use photographs as uncomplicated facts or to augment the standard and richness of knowledge manipulation providers. snapshot administration has opened a large region of recent study issues in picture figuring out and research. The IFIP 2.6 operating staff on Databases strongly believes major mutual enrichment is feasible by way of confronting principles, innovations and methods helping the paintings of researcher and practitioners within the components of visible interfaces to DBMS and DBMS administration of visible info. therefore, IFIP 2.6 has introduced a sequence of meetings on visible Database structures. the 1st one has been held in Tokyo, 1989. VDB-2 used to be held in Budapest, 1991. This convention is the 3rd within the sequence. because the previous variants, the convention addresses researchers and practitioners energetic or attracted to consumer interfaces, human-computer communique, wisdom illustration and administration, picture processing and realizing, multimedia database innovations and laptop vision.
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Extra resources for Visual Database Systems 3: Visual information management
It introduces an image retrieval system supporting content-based image queries (QBIC), describes the steps and the decisions involved in integrating QBIC into Garlic, and then shows how queries combining visual and nonvisual predicates can be processed. 4). We summarize our contributions and discuss future work in Section 5. 2 RELATED WORK The multimedia area is expanding at a rapid pace. , video servers), image and document management tools, interactive games, authoring tools, scripting languages, and so forth.
We described the overall architecture for the system, which is based on repositories, repository wrappers, and the use of an object-oriented data model and query language to provide a uniform view of the disparate data types and data sources that can contribute data to a Garlic database. As we explained, a significant focus of the project is support for repositories that provide media-specific query capabilities. We described QBIC, a system that provides query by image content, and showed how QBIC could be integrated into Garlic so that queries might range over data in this and other repositories simultaneously.
Example queries are shown in Plates I, 2, 3 and 4. In all cases, the returned results are ranked, and are shown in order with the best result in the leftmost position, next best in the next position, and so on. Each image returned is displayed as a reduced "thumbnail". The thumbnails are active menu buttons that can be clicked on to give a list of options. The options include: initiate the query "Find images like this one", display the similarity value of this image to the query image, display the (larger) full scale image, place the image in a holding area for later processing, or perform a user defined image operation or comparison.