Neural Network Codingdoi:10.1109/ICC40277.2020.9149399Amit SolomonLitian LiuMuriel MedardSalman Salamatian
Surfing a spike wave down the ventral stream RufinVanRullen,Simon JThorpe, inVision Research, 2002 Here we describe such a neural code in which information is distributed across large populations of neurons, and represented by relative spike firing times in a single wave of action potentials. The...
可以考虑预测频域中的信号,比如预测为DCT-II-transform coefficients,在频域中数据又会得到进一步的压缩,并且在不影响人感知视频质量的情况下,我们可以将某些高频分量置0,这样在矩阵计算中,直接对某一部分直接就可以置零,不需要在进行矩阵计算。 Reference:Neural network based intra prediction for video coding...
1.1 简介 循环神经网络(Recurrent Neural Network, RNN)是一类以序列(sequence)数据为输入,在序列的演进方向进行递归(recursion)且所有节点(循环单元)按链式连接的递归神经网络(recursive neural network) 对循环神经网络的研究始于二十世纪80-90年代,并在二十一世纪初发展为深度学习(deep learning)算法之一 [2] ,其中双...
典型的深度学习模型有卷积神经网络( convolutional neural network)、DBN和堆栈自编码网络(stacked auto-encoder network)模型等,在这里,就不对这些模型进行描述了。 深度学习在搜索技术、数据挖掘、机器学习、机器翻译、计算机视觉、语音识别、自然语言处理、多媒体学习、语音、推荐和个性化技术、以及其他相关领域都取得了很...
In this paper, a hybrid video compression framework is proposed that serves as a demonstrative showcase of deep learning-based approaches extending beyond the confines of traditional coding methodologies. The proposed hybrid framework is founded upon the Enhanced Compression Model (ECM), which is a ...
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2c for a visual depiction). Fig. 2: Neural generative coding computation and circuitry. a The two key computation steps taken by an entire NGC network (a GNCN-t2-LΣ) when processing an input (z0 = x): (1) prediction and laterally-weighted error computation, (2) error-correction...
因此,可以充分利用预测块中的纹理信息来指导残差的细化。 提出了一种深度细化网络,将连接的特征映射作为输入,得到一个细化的残差,并将其添加到预测块中,得到一个更精确的预测块 但是有着较高的复杂度。 Reference Reference:Neural Network-Based Enhancement to Inter Prediction for Video Coding...
Conceptually, a neural network consists of many layers of weights together with the computation, which are represented as nodes and edges in a graph. Programming platforms support the implementation of these graphs in different ways. In earlier approaches, you would work at the low level by explic...