Abstract
In this paper, a novel approach of automatic closed caption detection and font size differentiation among localized text regions in I-frames of MPEG videos is proposed. The approach consists of five modules: video segmentation, shot selection, caption frame detection, caption localization and font size differentiation. Rather than directly examines scene cut frame by frame, the module of video segmentation first verifies video streams GOP by GOP and then finds out the actual scene boundaries in the frame level. Tennis videos are selected as the case study and the module of shot selection is designed to automatically select specific type of shot for further closed caption detection. The noise of potential captions is filtered out based on its long-term consistency over consecutive frames. While the general closed captions are localized, we select the specific caption that is discriminated utilizing the module of font size differentiation. The detected closed captions can support video structuring, video browsing, high-level video indexing and video content description in MPEG-7. Experimental results show the effectiveness and the feasibility of the proposed scheme.
The research is partially supported by Lee & MTI Center, National Chiao-Tung University, Taiwan and National Science Council, Taiwan.
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© 2002 Springer-Verlag Berlin Heidelberg
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Duan-Yu, C., Ming-Ho, H., Suh-Yin, L. (2002). Automatic Closed Caption Detection and Font Size Differentiation in MPEG Video. In: Chang, SK., Chen, Z., Lee, SY. (eds) Recent Advances in Visual Information Systems. VISUAL 2002. Lecture Notes in Computer Science, vol 2314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45925-1_26
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DOI: https://doi.org/10.1007/3-540-45925-1_26
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