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Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Phase-Based Approach for Caption Detection in Videos
verfasst von : Shu Wen, Yonghong Song, Yuanlin Zhang, Yu Yu
Erschienen in: Computer Vision – ACCV 2012
Verlag: Springer Berlin Heidelberg
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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.