首页> 外文期刊>IEEE Transactions on Image Processing >Large Discriminative Structured Set Prediction Modeling With Max-Margin Markov Network for Lossless Image Coding
【24h】

Large Discriminative Structured Set Prediction Modeling With Max-Margin Markov Network for Lossless Image Coding

机译:基于最大余量马尔可夫网络的大判别结构化集合预测建模

获取原文
获取原文并翻译 | 示例

摘要

Inherent statistical correlation for context-based prediction and structural interdependencies for local coherence is not fully exploited in existing lossless image coding schemes. This paper proposes a novel prediction model where the optimal correlated prediction for a set of pixels is obtained in the sense of the least code length. It not only exploits the spatial statistical correlations for the optimal prediction directly based on 2D contexts, but also formulates the data-driven structural interdependencies to make the prediction error coherent with the underlying probability distribution for coding. Under the joint constraints for local coherence, max-margin Markov networks are incorporated to combine support vector machines structurally to make max-margin estimation for a correlated region. Specifically, it aims to produce multiple predictions in the blocks with the model parameters learned in such a way that the distinction between the actual pixel and all possible estimations is maximized. It is proved that, with the growth of sample size, the prediction error is asymptotically upper bounded by the training error under the decomposable loss function. Incorporated into the lossless image coding framework, the proposed model outperforms most prediction schemes reported.
机译:现有的无损图像编码方案并未充分利用基于上下文的预测的固有统计相关性和局部相干性的结构相互依赖性。本文提出了一种新颖的预测模型,其中从最小代码长度的意义上获得了一组像素的最佳相关预测。它不仅直接基于2D上下文利用空间统计相关性进行最佳预测,而且还制定了数据驱动的结构相互依赖性,以使预测误差与潜在的编码概率分布保持一致。在局部相干性的联合约束下,结合了最大余量马尔可夫网络以在结构上组合支持向量机,以对相关区域进行最大余量估计。具体而言,其目的在于利用以使得实际像素与所有可能的估计之间的差异最大化的方式学习的模型参数,在块中产生多个预测。事实证明,随着样本量的增加,在可分解损失函数下,预测误差渐近地受训练误差的限制。结合到无损图像编码框架中,提出的模型优于大多数报道的预测方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号