首先使用adaboost算法实时检测到唇部，然后通过离散余弦变换（Discrete Cosine Transform DCT）提取唇部特征，最后使用支持向量机（Support Vector Machine SVM）进行唇形的识别。
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Data correlation coefficients were calculated and switch regions were analyzed by using two dimension discrete cosine transform (DCT) in ray-space data compression.
在光线空间的数据压缩中，计算了数据的相关系数，采用二维离散余弦变换(DCT)进行了变换域分析。
A new method for predetermination of all-zero blocks in low rate video coding is proposed, which is based on characters of discrete cosine transform (DCT) and quantization.
该文根据离散余弦变换(DCT)和量化运算的特点，提出了一种新的用于低比特率视频编码的全零块预先判别方法。
A watermarking scheme based on the discrete cosine transform (DCT) was studied. A new blind watermarking algorithm by embedding the watermark into the phase components of DCT was proposed.
基于离散余弦变换(DCT)方法对水印算法进行了研究，提出一种新的将水印嵌入到分块dct相位成分的盲水印算法。
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