Text data present in images and video contain useful information for automatic annotation,
indexing, and structuring of images. Extraction of this information involves detection …

This paper gives an algorithm for detecting and reading text in natural images. The algorithm
is intended for use by blind and visually impaired subjects walking through city scenes. We …

In this paper, we present an approach to automatic detection and recognition of signs from
natural scenes, and its application to a sign translation task. The proposed approach …

The systems currently available for contentbased image and video retrieval work without
semantic knowledge, ie they use image processing methods to extract low level features of …

Conventional clustering algorithms utilize a single criterion that may not conform to the
diverse shapes of the underlying clusters. We offer a new clustering approach that uses …

We propose a method that extracts text regions in natural scene images using low-level
image features and that verifies the extracted regions through a high-level text stroke …

Text presented in videos provides important supplemental information for video indexing
and retrieval. Many efforts have been made for text detection in videos. However, there is …

Summarization is an essential requirement for achieving a more compact and interesting
representation of sports video contents. We propose a framework that integrates highlights …

This paper proposes a fast and robust framework for incrementally detecting text on road
signs from natural scene video. The new framework makes two main contributions. First, the …

Texture-based methods and connected component (CC) methods have been widely used
for text localization. However, these two primary methods have their own strength and …