Content based image retrieval utilizing HEVC intra coding features

Kai-Wen Liang, Shin-Ru Hsu, P. Chang
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引用次数: 1

Abstract

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.
利用HEVC帧内编码特征的基于内容的图像检索
针对最新的视频编码标准——高效视频编码(HEVC),提出了一种应用于压缩领域的基于内容的图像检索技术。我们建议从帧内提取特征,这些特征只被部分解码。将相应大小的预测单元分成两组时,将内模方向作为特征的一部分。特征的第二部分是残差信号功率的直方图。实验结果表明,该方法在Oxford 5K数据集上可以减少资源消耗,取得较好的检索性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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