We propose a method for compressing color map images by context tree modeling and arithmetic coding. We consider multi-component map images with semantic layer separation, and images that are divided into binary layers by color separation. The key issue in the compression method is the utilization of inter-layer correlations, and to solve the optimal ordering of the layers. The inter-layer depe...

Modeling of video traffic has always been an important research area for the design, simulation, and performance analysis of packet video networks and Internet streaming. In this paper, we present a frame-level hybrid framework for modeling multi-layer VBR video traffic, in which the base layer is modeled using a combination of wavelet and time-domain methods and the enhancement layer is linear...

Multiview video coding (MVC) plays an important role in three-dimensional video applications. Joint Video Team developed a joint multiview video model (JMVM) with multi-reference frame technology. Motion and disparity estimation are employed in multi-reference frame technology to provide better rate distortion performance. However, the process of searching blocks with variable sizes for motion ...

in present study, thermo-elastic buckling analysis of multi-layer orthotropic annular/circular graphene sheets is investigated based on eringen’s theory. the moderately thick and also thick nano-plates are considered. using the non-local first and third order shear deformation theories, the governing equations are derived. the van der waals interaction between the layers is simulated for multi-...

Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically requires slow off-line learning to avoid catastrophic forgetting in an open input environment. An adaptive resonance theory (ART) model is designed to guarantee stable memories even with fast on-line learning. However, AR...

We demonstrate that spiking neural networks encoding information in the timing of single spikes are capable of computing and learning clusters from realistic data. We show how a spiking neural network based on spike-time coding and Hebbian learning can successfully perform unsupervised clustering on real-world data, and we demonstrate how temporal synchrony in a multi-layer network can induce h...

Fine granularity scalability (FGS) coding enables finer bitrate scalability and better error resiliency than traditional multi-layer coding, because it allows truncating a bitstream at arbitrary bits. This flexibility enables streaming applications a more space to optimize quality (i.e., minimize distortion) at a given channel bandwidth. This optimization relies on accurate estimation of the ra...

The paper studies a new model and network coding algorithm for orthogonal frequency division multiplexing (OFDM) system. Cooperation diversity consists on using relay nodes to combat the effects of fading channels by means of spatial diversity. Physical-layer network coding is used to make the two-way s relay network achieving higher bandwidth efficiency than the traditional four-phase and thre...

In the scalable video coding (SVC) standard, spatial scalable coding outperforms simulcast coding when programs with several display resolutions are needed. Nevertheless, it is not suitable for end devices which only need the high resolution, due to a serious performance loss on the high spatial layer compared with single layer coding. To tackle this dilemma, a selective inter−layer prediction ...