International Journal of Computer Vision
Neuro-pattern classification of elongated and contracted images
Information Sciences—Applications: An International Journal
The NURBS book
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
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual Metrics for Image Database Navigation
Perceptual Metrics for Image Database Navigation
AMORE: A World Wide Web image retrieval engine
World Wide Web
Practical fast computation of Zernike moments
Journal of Computer Science and Technology
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Evaluating the Performance of Content-Based Image Retrieval Systems
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
FOCUS: Searching for Multi-colored Objects in a Diverse Image Database
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A comparison of wavelet transform features for texture image annotation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Single color extraction and image query
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Computing invariants using elimination methods
ISCV '95 Proceedings of the International Symposium on Computer Vision
Shape measures for image retrieval
Pattern Recognition Letters
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
Physics-Based Extraction of Intrinsic Images from a Single Image
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
A Generic Scheme for Color Image Retrieval Based on the Multivariate Wald-Wolfowitz Test
IEEE Transactions on Knowledge and Data Engineering
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
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
CLUE: cluster-based retrieval of images by unsupervised learning
IEEE Transactions on Image Processing
Rotation Moment Invariants for Recognition of Symmetric Objects
IEEE Transactions on Image Processing
Texture analysis and classification with tree-structured wavelet transform
IEEE Transactions on Image Processing
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In this paper, we present the main features of VISTO (Vector Image Search TOol), a new content-based image retrieval (CBIR) system for vector images. Though unsuitable for photo-realistic imagery, vector graphics are continually becoming more advanced and diffused. Vector images are fully scalable, resolution independent, not restricted to rectangular shape, allowing layering and editable/searchable text. Notwithstanding this increasing interest, the research area concerning CBIR systems for vectorial images is quite new, and our research on a vector based CBIR system actually derives from a precise request of vector based application experts that did not find appropriate solutions to their retrieval problems in customary shape-based CBIR system. To the best of our knowledge, VISTO is the first CBIR system for vector images proposed in the literature, and it supports the retrieval of images in SVG (scalable vector graphics) format. We discuss VISTO from both the engine and the interface points of view, and then evaluate its engine from an experimental point of view within an advanced high quality 2D animation environment supporting cartoon episodes management. To satisfy the requirements of stroke-based applications, in VISTO vector images are modelled as inertial systems and then associated with descriptors representing visual features invariant to translation, rotation, and scaling transformations. Furthermore, to efficiently serve different application domains, the engine offers a variety of moment sets as well as different distance functions for similarity computation. The graphical interface offers tools that help in the selection of criteria and parameters necessary to tune the system to a specific application domain.