AViTExt: Automatic Video Text Extraction, A new Approach for video content indexing Application

TL;DR

This paper introduces AViTExt, a novel method for automatic video text detection that uses spatial-temporal analysis to identify and filter text regions, improving indexing accuracy.

Contribution

The paper presents a new spatial-temporal technique for video text detection that dynamically analyzes frame differences and filters regions based on temporal redundancy.

Findings

Achieved 89.39% precision in text detection

Achieved 90.19% recall in text detection

Effective for diverse video sequences

Abstract

In this paper, we propose a spatial temporal video-text detection technique which proceed in two principal steps:potential text region detection and a filtering process. In the first step we divide dynamically each pair of consecutive video frames into sub block in order to detect change. A significant difference between homologous blocks implies the appearance of an important object which may be a text region. The temporal redundancy is then used to filter these regions and forms an effective text region. The experimentation driven on a variety of video sequences shows the effectiveness of our approach by obtaining a 89,39% as precision rate and 90,19 as recall.