In this paper, an efficient global algorithm for vectorizing line drawings is presented. It first extracts a seed segment of a graphic entity from a raster image to obtain its dir...
Jiqiang Song, Feng Su, Jibing Chen, Chiew-Lan Tai,...
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
This paper describes a new method for analysis/synthesis of textures using a non-parametric multi-resolution approach able to reproduce efficiently the generative stochastic proce...
Sebastiano Battiato, Alfredo Pulvirenti, Diego Ref...
In this article, we propose a new method that combines the use of a global threshold and a window-based scheme for computing local thresholds. The latter scheme compares the contr...
Fu Chang, Kung-Hao Liang, Tzu-Ming Tan, Wen-Liang ...
Acoustic events produced in meeting-room-like environments may carry information useful for perceptually aware interfaces. In this paper, we focus on the problem of combining diffe...