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.
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Wen, S., Song, Y., Zhang, Y., Yu, Y. (2013). A Phase-Based Approach for Caption Detection in Videos. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds) Computer Vision – ACCV 2012. ACCV 2012. Lecture Notes in Computer Science, vol 7725. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37444-9_32
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DOI: https://doi.org/10.1007/978-3-642-37444-9_32
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