Design and implementation of an object-based video coder chip set based on syntactic pattern recognition

A. Martinez-Smith, S. Mathew, R. Sridhar
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Abstract

This paper presents the design and partial implementation of a chip set for a new object-based video coding technique. The hardware algorithm uses unsupervised learning of image contents for efficient second-generation coding of video. Computational complexity is controlled by storing a minimum feature set, upon which higher level contents are defined. Numerical results for test video sequences are given.
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基于句法模式识别的基于对象的视频编码器芯片组的设计与实现
本文介绍了一种新的基于对象的视频编码技术的芯片组的设计和部分实现。硬件算法利用图像内容的无监督学习实现视频的高效第二代编码。通过存储最小特征集来控制计算复杂度,并在此基础上定义更高级别的内容。给出了测试视频序列的数值结果。
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