As more and more works of calligraphy exists in digital library, traditional browsing and searching are not satisfying. This paper presents an algorithm for calligraphy style correlation discovery based on graph model. We first segment calligraphy work into characters, extract their texture features through 64 Gabor channels, and estimate the calligraphy style using a probability multi-class SV...

In this paper, we propose a new improvement to our 3D Virtual Story Environment System (3DVSE) by adding a real-time animation with voice synthesis. The new system offers a flexible and easy way to generate an interactive 3D virtual Environment (3DVE) as compared to traditional 3D packages. It enables the user to control and interact with the virtual characters via speech instructions so that t...

The advancement of technology nowadays resulted into documents, such as forms and petitions, being filled out in computer digital environment. Yet some cases, documents are still preserved traditional style, on print. Due to its distinct proportions, however, storage, sharing filing has become a complication. relocation these written environment is therefore great significance. In this view, st...

With the development of society, intangible cultural heritage Chinese Nüshu is in danger extinction. To promote research and popularization traditional culture, we use deep learning to automatically detect recognize handwritten characters. address difficulties such as creation a character dataset, uneven samples, recognition, first build large-scale HWNS2023, by using various data augmentation ...

This paper introduces a novel method for online writer identification. Traditional methods make use of the distribution of directions in handwritten traces. The novelty of this paper comes from 1)We propose a text-independent writer identification that uses handwriting stroke’s probability distribution function (SPDF) as writer features; 2)We extract four dynamic features to characterize writer...

This paper describes a novel algorithm for the unsupervised learning of word separators in raw text. The algorithm requires no language-specific knowledge regarding the text being processed. It relies solely on distributional properties of the text and uses the minimum description length (MDL) principle in order to partition characters into two subsets that correspond well with the traditional ...

The paper presents the concept and realization of the intelligent audio-book reader for the visually impaired. The system is capable of presenting personalities of different characters. The synthesizer mimics the way how a puppeteer portrays different characters. A traditional puppeteer generally uses up to a dozen different marionettes in one piece. Each of them impersonates a character with i...

We assess the Latent Semantic Indexing (LSI) approach to Chinese information filtering. In particular, the approach is for Chinese news filtering agents that use a character-based and hierarchical filtering scheme. The traditional vector space model is employed as an information filtering model, and each document is converted into a vector of weights of terms. Instead of using words as terms in...

Interactive storytelling, emerging with virtual reality technology, has attracted a lot of research interests in recent years. In order to bridge the gap between story generation and story presentation, some hybrid narrative models are raised. In this paper, we propose a new hybrid interactive storytelling architecture S-MADE. It combines the story plot generation and character performance thro...