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In this paper, we apply the principal component analysis (PCA) to extract significant image features and then incorporated them with the proposed two-phase fuzzy adaptive resonance theory neural network (Fuzzy-ART) for image content classification to overcome the gap between the low level features and high level semantic concepts. In general, Fuzzy-ART is an unsupervised clustering. Meanwhile, the...
Extracting complete figures from videos with complicated environments is difficult. A new figure extraction and synthesis system with capability of extracting figures from consecutive frames in a messy environment is proposed in this paper. A figure template is constructed based on the face detection results and some image processing techniques. Figural and non-figural features are extracted from...
Recently, the watermarking is an important technique to protect copyright, which allows authentic watermark to be hidden in multimedia such as digital image, video and audio. In this paper, we propose a DWT-based counter-propagation neural network (CPN) for digital audio watermarking. The db4 filter of the Daubechies wavelet is applied in this paper. The coefficients obtained from 4-level db4 and...
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