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Content based image retrieval utilizing HEVC intra coding features

机译:利用HEVC帧内编码功能进行基于内容的图像检索

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In this paper, a content-based image retrieval technique applied to compression domain for the newest video coding standard, high efficiency video coding (HEVC), is developed. We propose to extract the features from intra frames, which are only partially decoded. The directions of intra mode are taken as a part of the feature when the corresponding sizes of prediction unit are divided into two groups. The second part of the feature is the histogram of the signal power of residuals. The experimental results show that the proposed method can reduce the resource consumption and achieve a good retrieval performance in Oxford 5K dataset.
机译:在本文中,开发了一种基于内容的图像检索技术,该技术应用于压缩域,用于最新的视频编码标准,即高效视频编码(HEVC)。我们建议从仅部分解码的内部帧中提取特征。当将相应的预测单位大小分为两组时,将帧内模式的方向视为特征的一部分。特征的第二部分是残差信号功率的直方图。实验结果表明,该方法可以减少资源消耗,并在牛津5K数据集中取得良好的检索性能。

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