数据嵌入可扩展编码视频

LieLin Pang, Koksheik Wong, Sze‐Teng Liong
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引用次数: 4

摘要

本文提出了一种自抵消方法,将数据嵌入到空间可伸缩编码视频的多层中。分析并利用多层预测模式的相关性来抵消在增强层嵌入数据时在基础层(BL)引入的失真。具体来说,在基础层中,将预测模式分为两组,一组编码“0”,另一组编码“1”。增强层中的数据嵌入是为了补偿基础层中引入的误差。实验结果表明,在保证视频质量和码率的前提下,该可扩展编码视频可以有效地在多层中携带额外的有效载荷。在最好的情况下,当104,141位嵌入到BasketballDrive (BL: 1280 × 720和EL: 1920 × 1080)视频序列中时,比特率略有增加,而感知质量没有明显下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data embedding in scalable coded video
In this paper, a self-cancelling method is proposed to embed data into multiple layers of a spatial scalable coded video. Correlation of prediction mode from multiple layers are analyzed and exploited to offset the distortion introduced at the base layer(BL) when embedding data at the enhancement layer (EL). Specifically, in the base layer, the prediction modes are divided into two groups, where one group encodes '0' while another encodes '1'. Data embedding in the enhancement layer is designed to compensate the errors introduced in the base layer. Experiment results show that the scalable coded video can effectively carry additional payload in multiple layers while maintaining the video quality and bit rate. In the best case scenario, when 104,141 bits are embedded into the BasketballDrive (BL: 1280 × 720 and EL: 1920 × 1080) video sequence, the bit rate is slightly increased while insignificant degradation in perceptual quality is observed.
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