Content-adaptive spatial scalability for scalable video coding

Yongzhe Wang, N. Stefanoski, Xiangzhong Fang, A. Smolic
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引用次数: 4

Abstract

This paper presents an enhancement of the SVC extension of the H.264/AVC standard by content-adaptive spatial scalability (CASS). CASS introduces a novel functionality which is important for high quality content distribution. The video streams (spatial layers), which are used as input to the encoder, are created by content-adaptive and art-directable retargeting of existing high resolution video. Video is retargeted to resolutions and aspect ratios which are mainly dictated by target display devices. Thereby no content is cut off, but visually important content is preserved at the expense of a non-linear distortion of visually unimportant areas. The non-linear dependencies between such video streams are efficiently exploited by CASS for scalable coding. This is achieved by integrating warping-based non-linear texture prediction and warp coding into the SVC framework. The results indicate high prediction accuracy of non-linear predictors and high compression efficiency with limited increase in bit rate and complexity compared to the standard SVC for the case of INTRA only coding.
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可扩展视频编码的内容自适应空间可扩展性
本文提出了一种基于内容自适应空间可扩展性(CASS)的H.264/AVC标准的SVC扩展增强方法。CASS引入了一个新的功能,这对于高质量的内容分发非常重要。视频流(空间层),用作编码器的输入,是由现有的高分辨率视频的内容自适应和艺术定向重定向创建的。视频被重新定位到主要由目标显示设备决定的分辨率和长宽比。因此,没有内容被切断,但视觉上重要的内容被保留,代价是视觉上不重要的区域的非线性扭曲。这些视频流之间的非线性依赖关系被CASS有效地用于可扩展编码。这是通过将基于翘曲的非线性纹理预测和翘曲编码集成到SVC框架中来实现的。结果表明,在仅使用INTRA编码的情况下,与标准SVC相比,非线性预测器的预测精度高,压缩效率高,比特率和复杂度的增加有限。
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