Caption detection from video sequence based on fuzzy neural networks

Xinbo Gao; Hong Xin; Jie Li

doi:10.1117/12.441566

25 September 2001 Caption detection from video sequence based on fuzzy neural networks

Xinbo Gao, Hong Xin, Jie Li

Proceedings Volume 4553, Visualization and Optimization Techniques; (2001) https://doi.org/10.1117/12.441566
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Caption graphically superimposed in video frames can provide important indexing information. The automatic detection and recognition of video captions can be of great help in querying topics of interest in digital news library. To detect the caption from video sequence, we present algorithms based on fuzzy clustering neural networks. Since neural networks have the capabilities of learning and self-organizing and parallel computing mechanism, with the great increasing of digital images and video databases, neural networks based techniques become more efficient and popular tools for multimedia processing. Experimental results show that our caption detection scheme is effective and robust.

Citation Download Citation

Xinbo Gao, Hong Xin, and Jie Li "Caption detection from video sequence based on fuzzy neural networks", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); https://doi.org/10.1117/12.441566

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