International Journal of Computer Vision
Media-based navigation for hypermedia systems
HYPERTEXT '93 Proceedings of the fifth ACM conference on Hypertext
Color Image Segmentation using Competitive Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast multiresolution image querying
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Querying multimedia data from multiple repositories by content: the Garlic project
Proceedings of the third IFIP WG2.6 working conference on Visual database systems 3 (VDB-3)
Query by Visual Example - Content based Image Retrieval
EDBT '92 Proceedings of the 3rd International Conference on Extending Database Technology: Advances in Database Technology
Indexing and Fuzzy Logic-Based Retrieval of Color Images
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
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The availability of large image databases is emphasizing the relevance of filters, which permit to focus the interest on a small subset of data. Taking advantage of the pictorial features of images, visual specification of such filters provides a powerful and natural way to express content-oriented queries. Albeit direct, the by example paradigm, does not allow to express high-level assertions on the pictorial content of images and specifically, paintings. To support the visuality, without losing power of expression, an original visual language is herein proposed, for the symbolic representation of the semantics induced by the colour quality and arrangement over a painting. The proposed language is based on the concepts of color semantics introduced by artists in the 900 and is developed to support a visual query paradigm. The present paper formalizes the grammar of the language and describes its implementation into a prototype system of painting retrieval by colour content.