The biggest challenge in the development of gesturebased user interfaces is the creation of a gesture recognizer. Existing approaches to support high-level recognition of glyphs require a lot of effort from developers, are error prone, and suffer from low recognition rates. We propose a tool that generates a recognizer for hand-drawn glyphs from one example. Our tool uses the output of a basic ...

In this paper, a new approach to identification of handwritten symbols in arbitrary complex environments is presented. 20 different pictograms drawn in different backgrounds can be identified with a recognition accuracy of 90%. In order to perform this challenging task, we use pattern spotting techniques based on pseudo 2-D Hidden Markov Models (P2DHMMs). Practical applications of our approach ...

By collecting 100 cartoons related to the COVID-19 pandemic from whole world, this paper uses Yu Yanming’s theoretical framework of metaphorical representation perspective multimodal metaphors classify mappings these works. This also tries analyze political stances and attitudes towards displayed behind cartoons. attempts explore how topic is conveyed communicated via in aims show different met...

Hand-drawn synoptic maps from the Meudon Observatory (1919 onwards) and McIntosh archive (1967 are two important sources of long-term, manually recorded filament observations. In this study, we calibrate subsequently identify filaments through an automated method. We extract physical parameters database perform a comparative study their long-term evolution focusing on cotemporal period The spat...

In order to facilitate sketch recognition, most online existing works assume that people will not start to draw a new symbol before the current one has been finished. We propose in this paper a method that relaxes this constraint. The proposed methodology relies on a two-dimensional dynamic programming (2D-DP) technique allowing symbol hypothesis generation, which can correctly segment and reco...

Concept maps represent a rich structure to store and picture information or knowledge in form of concept-to-concept relations. There are several methods proposed for concept map analysis, based usually on concept and relation comparison, topological analysis of the map and others. One of the traditional applications of concept maps is the evaluation of the student’s knowledge, enabling to ident...

Sketching is a powerful means to represent objects and reason on them. In this paper we describe an integrated environment, conceived as a multi agent system, that brings together sketch recognition functionalities and decision support facilities. In this environment, intelligent agents are exploited both for managing the process of recognition of the sketched objects, and for supporting users ...

76 AI MAGAZINE Sketching and drawing are valuable tools for communicating conceptual and spatial information. When people communicate spatial ideas with each other, drawings and diagrams are highly effective because they lighten working memory load and make spatial inference easier (Larkin and Simon 1987). Visual representations may also be helpful for communicating abstract ideas, even when th...

Most sketch recognition systems are accurate in recognizing either text or shape (graphic) ink strokes, but not both. Distinguishing between shape and text strokes is, therefore, a critical task in recognizing hand-drawn digital ink diagrams that contain text labels and annotations. We have found the 'en-tropy rate' to be an accurate criterion of classification. We found that the entropy rate i...

We propose a new deformable shape model Active Shape Structural Model (ASSM) for recognition and reconstruction. The main features of ASSM are: (1) It describes variations of shape not only statistically as Active shape/Appearance model but also by structural variations. (2) Statistical and structural prior knowledge is integrated resulting in a multi-resolution shape description such that the ...