ROI video coding based on H.263+ with robust skin-color detection technique

Mei-Juan Chen, Ming-Chieh Chi, Ching-Ting Hsu, Jeng-Wei Chen
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引用次数: 94

Abstract

The paper proposes an ROI (region of interest) video coding algorithm based on H.263+. The ROIs are automatically selected by a robust skin-color detection which utilizes the Cr and RGB variance instead of the traditional skin color models, such as YCbCr, HSI, etc. The skin color model defined by Cr and RGB variance can choose the skin color region more accurately than other methods. For the video coding system, a region-based video codec based on H.263+ with the option mode of modified quantization is set up. We adjust the distortion weight parameter and variance at the macroblock layer to control the qualities at different regions. Experimental results show that the proposed method can significantly improve the quality at the ROI. Our method is suitable for real time videoconferencing.
基于H.263+鲁棒肤色检测技术的ROI视频编码
提出了一种基于H.263+的感兴趣区域视频编码算法。通过鲁棒肤色检测自动选择roi,该检测利用Cr和RGB方差代替传统的肤色模型,如YCbCr, HSI等。由Cr和RGB方差定义的肤色模型可以比其他方法更准确地选择肤色区域。对于视频编码系统,建立了基于H.263+的基于区域的视频编解码器,采用改进量化的可选模式。通过调整宏块层的失真权参数和方差来控制不同区域的质量。实验结果表明,该方法能显著提高ROI下的图像质量。该方法适用于实时视频会议。
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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