The current paper presents a novel texture-based method for detecting texts in images. A
support vector machine (SVM) is used to analyze the textural properties of texts. No external …

The increasing availability of high performance, low priced, portable digital imaging devices
has created a tremendous opportunity for supplementing traditional scanning for document …

In this paper, a robust, connected-component-based character locating method is presented.
It is an important part of an optical character recognition (OCR) system. Color clustering is …

The popularity of digital video is increasing rapidly. To help users navigate libraries of video,
algorithms that automatically index video based on content are needed. One approach is to …

This paper proposes an approach for automatic text detection and removal in video
sequences based on support vector machines (SVMs) and spatiotemporal restoration. Given …

In this paper, an algorithm for detecting text in images and video frames is proposed. The
algorithm contains two steps: initial detection and verification. In the first step, edge feature …

This survey strives to present the core concepts underlying the different texture-based
approaches to automatic detection, segmentation and recognition of visual text occurrences …

The components of a key frame selection algorithm for a paper-based multimedia browsing
interface called Video Paper are described. Analysis of video image frames is combined …

We present an automatic and novel approach in structuring and indexing lecture videos for
distance learning applications. By structuring video content, we can support both topic …

Videotext recognition is challenging due to low resolution, diverse fonts/styles, and cluttered
background. Past methods enhanced recognition by using multiple frame averaging, image …