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Efficient Scalable Video Coding Method Using Discrete Bandelet Transform

机译：使用离散粘合器变换的高效可伸缩视频编码方法

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摘要

Video coding is an imperative part of the modern day communication system. Furthermore, it has vital roles in the fields of video streaming, multimedia, video conferencing and much more. Scalable Video Coding (SVC) is an emerging research area, due to its extensive application in most of the multimedia devices as well as public demand. The proposed coding technique is capable of eliminating the Spatio-temporal regularity of a video sequence. In Discrete Bandelet Transform (DBT), the directions are modeled by a three-directional vector field, known as structural flow. Regularity is decided by this flow where the data entropy is low. The wavelet vector decomposition of geometrically ordered data results in a lesser extent of significant coefficients. The directions of geometrical regularity are interpreted with a two-dimensional vector, and the approximation of these directions is found with spline functions. This paper deals with a novel SVC technique by exploiting the DBT. The bandelet coefficients are further encoded by utilizing Set Partitioning in Hierarchical Trees (SPIHT) encoder, followed by global thresholding mechanism. The proposed method is verified with several benchmark datasets using the performance measures which gives enhanced performance. Thus, the experimental results bring out the superiority of the proposed technique over the state-of-arts.
机译：视频编码是现代通信系统的必要条件。此外，视频流，多媒体，视频会议等领域具有重要角色。可扩展的视频编码（SVC）是一个新兴的研究区域，因为它在大多数多媒体设备以及公众需求中的广泛应用。所提出的编码技术能够消除视频序列的时空规律性。在离散的Bandelet变换（DBT）中，方向由三方向矢量场建模，称为结构流。规律性决定通过该流程来决定数据熵低。几何有序数据的小波矢量分解导致较小系数的较小程度。几何规律性的方向被解释为二维向量，并且使用样条函数找到这些方向的近似。本文通过利用DBT处理一种新颖的SVC技术。通过利用分层树（SPIHT）编码器中的设置分区，然后是全局阈值机制来进一步编码Bandelet系数。使用若干基准数据集验证了所提出的方法，使用具有增强性能的性能措施。因此，实验结果提出了拟议技术的优越性。

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