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A novel content-based adaptive scalability mode selection for scalable video coding

机译:用于可伸缩视频编码的基于内容的新型自适应可伸缩模式选择

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Scalable video coding offers a mechanism to deal with inter-operability among various heterogeneous devices, adaptability of video quality over varying bandwidths and backward compatibility with various pre-existing devices. Scalability is broadly classified along three major attributes as of spatial, temporal and quality, thereby enabling multiple features along these video attributes. The optimal usage of such scalability is achieved if we can couple the selection of enhancement layers with the identity of the video or various contents present in the video. This field of content-based scalability mode selection has not been exhaustively explored in the literature. In this paper, we present a simple but effective approach for intelligent selection of scalability mode. A 3-D DFT based approach is used for this purpose. Our work has been restricted to the availability of three options-spatial, temporal and spatio-temporal. The results show effectiveness of the method proposed for mode selection among these chosen options.
机译:可伸缩视频编码提供了一种机制来处理各种异构设备之间的互操作性,视频质量在变化带宽上的适应性以及与各种现有设备的向后兼容性。可伸缩性大致按照空间,时间和质量三个主要属性进行分类,从而可以沿着这些视频属性实现多种功能。如果我们可以将增强层的选择与视频的标识或视频中存在的各种内容结合在一起,则可以实现这种可伸缩性的最佳用法。在文献中尚未详尽地探讨基于内容的可伸缩性模式选择的这一领域。在本文中,我们提出了一种简单但有效的方法,用于智能地选择可伸缩性模式。为此,使用了基于3D DFT的方法。我们的工作仅限于空间,时间和时空三种选择。结果显示了在这些选择的选项中提出的用于模式选择的方法的有效性。

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