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Published on: May 7, 2019
A new approach for overlay text detection and extraction from complex video scene
1Department of Electronic Engineering, Information and Communications University, Daejeon, Korea.
Summary
This study introduces a new framework for detecting and extracting overlay text from videos. The method uses transient colors to identify text, improving robustness across various conditions and reducing processing time.
Area of Science:
- Computer Vision
- Video Analysis
- Image Processing
Background:
- Overlay text in videos provides crucial semantic information for tasks like retrieval and summarization.
- Existing methods struggle with text variations in contrast and complex backgrounds.
Purpose of the Study:
- To propose a novel framework for robust overlay text detection and extraction from video scenes.
- To overcome limitations of low-level feature-based approaches.
Main Methods:
- Generation of a transition map based on transient colors between text and background.
- Candidate region extraction using a reshaping method and overlay text determination.
- Accurate localization via transition map pixel projection and language-independent text extraction.
Main Results:
- The proposed method demonstrates robustness to variations in character size, position, contrast, and color.
- Effective overlay text detection and extraction demonstrated on diverse video datasets.
- Overlay text region updates between frames improve processing efficiency.
Conclusions:
- The novel framework effectively detects and extracts overlay text, outperforming previous methods.
- The approach is versatile, language-independent, and efficient for video content analysis.
- This work advances video information retrieval and summarization capabilities.
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