A phase-based approach for caption detection in videos

Authors:
Shu Wen;Yonghong Song;Yuanlin Zhang;Yu Yu
Affiliations:
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China;Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China;Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China;Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China
Venue:
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Year:
2012

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Abstract

The captions in videos are closely related to the video contents, so the research of automatic caption detection contributes to video contents analysis and content-based retrieval. In this paper, a novel phase-based static caption detection approach is proposed. Our phase-based algorithm consists of two processes: candidate caption region detection and candidate caption region refinement. Firstly, the candidate caption regions are extracted from the caption saliency map, which is mainly generated by phase-only Fourier synthesis. Secondly, the candidate regions are refined by text region shape features. The comparison experimental results with existing methods show a better performance of our proposed approach.