1,140 research outputs found
Slovenian Virtual Gallery on the Internet
The Slovenian Virtual Gallery (SVG) is a World Wide Web based multimedia collection of pictures, text, clickable-maps and video clips presenting Slovenian fine art from the gothic period up to the present days. Part of SVG is a virtual gallery space where pictures hang on the walls while another part is devoted to current exhibitions of selected Slovenian art galleries. The first version of this application was developed in the first half of 1995. It was based on a file system for storing all the data and custom developed software for search, automatic generation of HTML documents, scaling of pictures and remote management of the system. Due to the fast development of Web related tools a new version of SVG was developed in 1997 based on object-oriented relational database server technology. Both implementations are presented and compared in this article with issues related to the transion between the two versions. At the end, we will also discuss some extensions to SVG. We will present the GUI (Graphical User Interface) developed specially for presentation of current exhibitions over the Web which is based on GlobalView panoramic navigation extension to developed Internet Video Server (IVS). And since SVG operates with a lot of image data, we will confront with the problem of Image Content Retrieval
Programmatic and Direct Manipulation, Together at Last
Direct manipulation interfaces and programmatic systems have distinct and
complementary strengths. The former provide intuitive, immediate visual
feedback and enable rapid prototyping, whereas the latter enable complex,
reusable abstractions. Unfortunately, existing systems typically force users
into just one of these two interaction modes.
We present a system called Sketch-n-Sketch that integrates programmatic and
direct manipulation for the particular domain of Scalable Vector Graphics
(SVG). In Sketch-n-Sketch, the user writes a program to generate an output SVG
canvas. Then the user may directly manipulate the canvas while the system
immediately infers a program update in order to match the changes to the
output, a workflow we call live synchronization. To achieve this, we propose
(i) a technique called trace-based program synthesis that takes program
execution history into account in order to constrain the search space and (ii)
heuristics for dealing with ambiguities. Based on our experience with examples
spanning 2,000 lines of code and from the results of a preliminary user study,
we believe that Sketch-n-Sketch provides a novel workflow that can augment
traditional programming systems. Our approach may serve as the basis for live
synchronization in other application domains, as well as a starting point for
yet more ambitious ways of combining programmatic and direct manipulation.Comment: PLDI 2016 Paper + Supplementary Appendice
Cuneiform Detection in Vectorized Raster Images
Documents written in cuneiform script are one of the largest sources about ancient history. The script is written by imprinting wedges (Latin: cunei) into clay tablets and was used for almost four millennia. This three-dimensional script is typically transcribed by hand with ink on paper. These transcriptions are available in large quantities as raster graphics by online sources like the Cuneiform Database Library Initative (CDLI). Within this article we present an approach to extract Scalable Vector Graphics (SVG) in 2D from raster images as we previously did from 3D models. This enlarges our basis of data sets for tasks like word-spotting. In the first step of vectorizing the raster images we extract smooth outlines and a minimal graph representation of sets of wedges, i.e., main components of cuneiform characters. Then we discretize these outlines followed by a Delaunay triangulation to extract skeletons of sets of connected wedges. To separate the sets into single wedges we experimented with different conflict resolution strategies and candidate pruning. A thorough evaluation of our methods and its parameters on real word data shows that the wedges are extracted with a true positive rate of 0.98. At the same time the false positive rate is 0.2, which requires future extension by using statistics about geometric configurations of wedge sets
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
Diffusion models have shown impressive results in text-to-image synthesis.
Using massive datasets of captioned images, diffusion models learn to generate
raster images of highly diverse objects and scenes. However, designers
frequently use vector representations of images like Scalable Vector Graphics
(SVGs) for digital icons or art. Vector graphics can be scaled to any size, and
are compact. We show that a text-conditioned diffusion model trained on pixel
representations of images can be used to generate SVG-exportable vector
graphics. We do so without access to large datasets of captioned SVGs. By
optimizing a differentiable vector graphics rasterizer, our method,
VectorFusion, distills abstract semantic knowledge out of a pretrained
diffusion model. Inspired by recent text-to-3D work, we learn an SVG consistent
with a caption using Score Distillation Sampling. To accelerate generation and
improve fidelity, VectorFusion also initializes from an image sample.
Experiments show greater quality than prior work, and demonstrate a range of
styles including pixel art and sketches. See our project webpage at
https://ajayj.com/vectorfusion .Comment: Project webpage: https://ajayj.com/vectorfusio
- …