Earticle

초록

영어

Caption region detection is significant for text segmentation and recognition in video images. In this paper, caption region detection includes the following three steps: text corner detection, candidate text region generation, non-text region elimination. Firstly, an improved Harris corner detection algorithm based on second difference, called sHarris, is proposed to detect text corners. sHarris detector is effective to detect text corners existing in video image. Secondly, morphologic operations are utilized to generate candidate text regions after text corner points are detected. Finally, non-text regions are eliminated from candidate text regions by some validation rules. In the end of this paper, experiments are used to analyze and evaluate the detection results of caption regions, which indicate the effectiveness of the proposed method.

목차

Abstract
 1. Introduction
 2. Harris Corner Detector
 3. Text region Detection
  3.1. Text Corner Detection by Improved Harris Corner Detection Algorithm
  3.2. Candidate Text Region Generation
  3.3. Non-text Region Elimination
 4. Experimental Results
 5. Conclusion
 Acknowledgement
 References

키워드

저자

• Xin Liu [ School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China ]
• Jin Dai [ School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China ]
• Yuanyuan Jia [ Yuanyuan Jia2 | College of computer science, Chongqing University, Chongqing, 400044, China ]
• Rubin Liu [ School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605