Shape measures for content based image retrieval: a comparison
Information Processing and Management: an International Journal
Supporting similarity queries in MARS
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
NeTra: a toolbox for navigating large image databases
Multimedia Systems - Special issue on video content based retrieval
Latent semantic indexing: a probabilistic analysis
Journal of Computer and System Sciences - Special issue on the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on principles of database systems
Modern Information Retrieval
AMORE: A World Wide Web image retrieval engine
World Wide Web
Computing invariants using elimination methods
ISCV '95 Proceedings of the International Symposium on Computer Vision
Tuning a CBIR system for vector images: the interface support
Proceedings of the working conference on Advanced visual interfaces
A Logic for SVG Documents Query and Retrieval
Multimedia Tools and Applications
Evaluation of VISTO: a new vector image search tool
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
PicToSeek: combining color and shape invariant features for image retrieval
IEEE Transactions on Image Processing
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We discuss the interface of VISTO, a Content Based Image Retrieval system for vector images in SVG (Scalable Vector Graphics) format. The system includes different engines and one common graphical interface. In fact, to support the different requirements of different application domains, the system offers a variety of engines. Most notably, due to its modular architecture, the system allows users to add engines at runtime; the interface provides support for newly added engines, including parameter tuning. The interface is designed for two classes of users: application domain users and researchers in the field of multimedia. Application domain users can use both query-by-sketch and query-by-example to search collections; researcher users can test, tune, and compare engines, and they can design datasets to be used in batch mode. VISTO is an open source project developed in Java; it uses advanced features of the language, such as the Core Reflection API, to dynamically adapt the interface to the available engines. The system is being validated in different application domains, including the production of 2D animation, the Sign Writing Language, and the BLISS Language.