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Face image retrieval in video sequences using lifting wavelets transform feature extraction

机译:使用提升小波变换特征提取的视频序列人脸图像检索

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Face image retrieval in video sequences is a challenging task for many multimedia applications. This paper introduces a scheme based on lifting wavelets transform feature extraction for face image retrieval in video sequences. In our scheme, we first extract the key-frames rapidly from video sequences by a color feature for its effectiveness. Based on the extracted key-frames, we propose to employ the AdaBoost based face detection method and the lifting wavelets transform (LFWT) technique which provides good alternative of intensity representation for feature extraction of the detected faces. By combining the two stages above, we can perform the face image retrieval in video sequences task efficiently and effectively.
机译:对于许多多媒体应用而言,视频序列中的面部图像检索是一项艰巨的任务。介绍了一种基于提升小波变换特征提取的视频序列人脸图像检索方案。在我们的方案中,我们首先通过颜色特征从视频序列中快速提取关键帧以提高其有效性。基于提取的关键帧,我们建议采用基于AdaBoost的面部检测方法和提升小波变换(LFWT)技术,该技术为强度检测的面部特征提取提供了很好的替代方法。通过结合以上两个阶段,我们可以高效地执行视频序列中的人脸图像检索任务。

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