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In this manuscript we propose a distributed classifier to perform inference on a person daily behaviour routine, based on multi-modal input data. The model is implemented on a social robot and allows to efficiently fuse locally perceived information with data classified remotely on a cloud. Unlike the dominant multi-class approaches, where each class is classified separately, the multi-label scheme...
This study revisits the test problem of evolving a network that gives the contact structure of a population so as to maximize the length of epidemics based on the network. A novel feature of the study is to use a new representation for network evolution. The representation consists of a sequence of editing commands that modify a starting network to specify a final network evaluated for its epidemic...
In vitro fertilization technology is used to help couples get children. During the development of IVF, embryological will observe the process of cleavage embryo until it is determined which gives the highest probability to produce a pregnancy. During this division process, the observation is done manually by embryological which produce subjective assessment of an embryo and vulnerable reduced quality...
The High Efficiency Video Coding (HEVC) standard provides up to 40% bitrate savings compared to the state-of-art H.264/AVC standard for the same perceptual video quality. Power consumption constraints represent a serious challenge for embedded applications based on a software design. A large number of systems are likely to integrate the HEVC codec in the long run and will need to be energy aware....
In this paper, we consider some educational aspects related to mathability. Our main goal is to approach an answer to the question what are computer assisted ways to assimilate mathematical knowledge and possess mathematical abilities.
We study the transmission over a cloud radio access network in which multiple relays are connected to a central processor (CP) via error-free finite-capacity links. We develop a lattice-based coding scheme in which each relay node computes a linear combination of the users' messages, in the spirit of standard compute-and-forward (CoF). However, rather than forwarding the computed equation to the CP...
In intra video coding, intra frames are predicted with intra prediction and the prediction residual signal is encoded. In many transform-based video coding systems, intra prediction residuals are encoded with transforms. For example, the Discrete Cosine Transform (DCT) and the Asymmetric Discrete Sine Transform (ADST) are used for intra prediction residuals in many coding systems. In the recent work,...
The efficiency improvements achieved by new video coding standards come at the cost of a huge increase in the encoder computational complexity. Paradoxically, such increasing complexity is commonly addressed by methods that have an adverse effect on coding efficiency. In this work, we propose a method to reduce the complexity of HEVC Hadamard ME, without compromising coding efficiency. Our method...
A light field (LF) is a 2D array of closely spaced viewpoint images of a static 3D scene. In an interactive LF streaming (ILFS) scenario, a user successively requests desired neighboring viewpoints for observation, and in response the server must transmit pre-encoded data for correct decoding of the requested viewpoint images. Designing frame structures for ILFS is challenging, since at encoding time...
Conventionally, complex motion in video sequences is approximated by smaller block units in order to be representable by a translational motion model. This approximation results in a fine block partitioning and a high prediction error, both at cost of more data rate than potentially necessary. A worthwhile data reduction has been shown to be achievable by adding a higher order motion model to the...
A central problem in analyzing networks is partitioning them into modules or communities. One of the best tools for this is the stochastic block model, which clusters vertices into blocks with statistically homogeneous pattern of links. Despite its flexibility and popularity, there has been a lack of principled statistical model selection criteria for the stochastic block model. Here we propose a...
This study used the multi-objective evolution algorithm and conventional method to research the problem of grouping interview. Firstly, we analyzed this problem and build the mathematical model of that. Then, we used the conventional method to solve this problem. In addition, the multi-objective evolution with matrix-coding scheme was used to solve this problem. Experimental comparisons show that...
With the aim of improving the efficiency and perceptual quality in video coding, this paper proposes a novel just-noticeable coding distortion (JNCD) model that considers human visual perception redundancy and unreasonable factors of existing just-noticeable distortion (JND) models in the coding process. First, we design a psycho-physical experiment to analyze the just-noticeable gradient difference...
This paper presents change detection using very high resolution SAR data. Small patches of SAR data were used for graphical Lasso based algorithm. The graphical Lasso for time series is defined as solution of an l1-regularized maximum likelihood problem. The optimization problem was solved using alternating direction method of multipliers (ADMM). The time series of patches was observed. The efficiency...
Vehicle identification is one of the frequently studied problems in video surveillance. Commonly, identifying an unknown vehicle object requires a large amount of training instances. Unfortunately, in the large parking scenario, the cost may be prohibitively expensive because of the finitely waiting time from the car owners. In this paper, we show that it is possible to identify a registered vehicle...
Design space exploration (DSE) at system level needs to cover all parameters and has to find the best trade-off between performance and power of modern heterogeneous multi- and many-processor SoCs (MPSoC). Modelling virtual platforms with SystemC TLM offers fast HW and SW co-design using the loosely-timed (LT) coding style. However, simulations at this high abstraction level lack the capability of...
The weapon-target assignment (WTA) problem is an important content in military operational research. In this paper, a discrete particle swarm optimization (DPSO) algorithm is presented to solve the constrained static weapon-target assignment (SWTA) problem subject to firing range constraint, weapon-target match constraint and so on. This constrained SWTA problem with upper bound on the number of weapons...
For the development of a smart grid, smart meter is a key device to measure the electric power usage of network-connected houses. Smart meters are currently being installed into households, and play the important role for providing a demand response service. A demand response is a necessary service in order to adjust supply-demand balancing because the balance is kept by the cost in the electricity...
Due to advance growth in videos available across the internet, it is required to navigate and handle them properly. It is essential to select only valuable and accurate information from video. Video summarization helps in acquiring essential information. Video summary produces concise and exact data of the video. With help of key frame extraction video summary can be generated. Key frames from video...
The paper uses EMD to construct a new transformation matrix to improve the original matrix coding algorithm and proposes a new video steganography algorithm:Improved Matrix Encoding (IME). The proposed algorithmretains the advantages of EMD and matrix encoding that it can greatly reduce the modifications of embed carrier to achieve a high embedding efficiency under the conditions of same embedding...
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