Text embedded in images or videos is indispensable to understand multimedia information. In this paper we propose a new text detection method using the texture feature derived from text strokes. The method consists of four steps: wavelet multiresolution decomposition, thresholding and pixel labeling, text detection using texture features from strokes, and refinement of mask image. Experiment re...

In this paper, we propose a novel scene text detection method named TextMountain. The key idea of TextMountain is making full use border-center information. Different from previous works that treat center-border as binary classification problem, predict probability (TCBP) and center-direction (TCD). TCBP just like mountain whose top center foot border. mountaintop can separate instances which c...

Depression is an illness that can harm someone's life. However, many people still do not know they are having depression and tend to express their feelings through text or social media. Thus, text-based detection could help in identifying the early of illness. Therefore, research aims build a identify possible cues based on Bahasa Malaysia text. The data, form text, has been collected from depr...

Automatic pronunciation error detection (APED) plays an important role in the domain of language learning. As for previous ASR-based APED methods, decoded results need to be aligned with target text so that errors can found out. However, since decoding process and alignment are independent, prior knowledge about is not fully utilized. In this paper, we propose use as extra condition Transformer...