In this paper, we propose a novel text-based traffic sign detection framework with two deep
learning components. More precisely, we apply a fully convolutional network to segment …

Video text extraction plays an important role for multimedia understanding and retrieval.
Most previous research efforts are conducted within individual frames. A few of recent …

Text detection in mobile video is challenging due to poor quality, complex background,
arbitrary orientation and text movement. In this work, we introduce fractals for text detection …

Text detection in arbitrarily-oriented multi-lingual video is an emerging area of research
because it plays a vital role for developing real-time indexing and retrieval systems. In this …

Person re-identification (Re-ID) has become increasingly popular in vision community. Many
previous works rely on either feature representation learning and/or metric learning …

This paper presents an approach for Kannada text detection from scene images. The
sturdiness of our system comes from three facets. Initially, we used a morphological edge …

In this article, a new method is proposed to detect and localize Farsi text in natural images
which is resistance to the complex background, and diverse fonts, sizes and colours. This …

Abstract Systems and methods may provide for the detection, location, and processing of
static pixels during video processing. In one example, the method may include determining if …

Scene text is an important feature to be extracted, especially in vision-based mobile robot
navigation as many potential landmarks such as nameplates and information signs contain …

In this study we attempt to solve the problem of text detection in natural images. This
requires us to identify regions in a natural image that contain text. Possible applications …