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VCR functionality is difficult to be implemented in a P2P VoD system, since it may give more server workload and fails some distribution paths. In this paper, we first analyze the user behavior of VCR interaction, and propose a video segmentation-aided P2P VoD System with VCR functionality. The simulation results show that our mechanism could reduce the server workload and improve the VCR performance...
We demonstrated electronically switchable extraordinary terahertz transmission through sub-wavelength metallic hole arrays fabricated on doped semiconductor substrates. A reverse voltage bias results in a controllable depletion thus tuning the substrate loss and switching the transmission.
VCR functionality is difficult to be implemented in a P2P VoD system, since it may give more server workload and fails some distribution paths. In this paper, we first analyze the user behavior of VCR interaction, and propose a video segmentation-aided P2P VoD System with VCR functionality. The simulation results show that our mechanism could reduce the server workload and improve the VCR performance...
In many image classification applications, input feature space is often high-dimensional and dimensionality reduction is necessary to alleviate the curse of dimensionality or to reduce the cost of computation. In this paper, we extract discriminant features for image classification by learning a low-dimensional embedding from finite labeled samples. In the new feature space, intra-class compactness...
In this paper, a new ontology-based composite concept detection method is proposed, which adopts Bayesian network to construct the ontology and uses the inference rules to perform the composite concept detection providing the concrete concepts in a phrase of video. Furthermore, the probability instead of binary value is gained through the inference pattern of Bayesian network, which can obtain more...
Currently, there is a lack of general-purpose in-place learning engines that incrementally learn multiple tasks, to develop "soft" multi-task-shared invariances in the intermediate internal representation while a developmental robot interacts with its environment. Computationally, biologically inspired in-place learning provides unusually efficient learning algorithms whose simplicity, low...
Wireless mesh networks have gained significant academic and industry attentions in the recent years. Supporting quality of service in wireless mesh networks is an important and challenging task which involves both medium access control and network layer design. In this paper, we investigate the problem of end-to-end on-demand bandwidth allocation in infrastructure wireless mesh networks. We formulate...
In the fields of neuroscience, psychology, computer science, and developmental robotics, currently there is a lack of biologically plausible general-purpose in-place learning models that incrementally learn multiple sensorimotor tasks, to develop "soft" multi-task-shared invariances in the internal representations while the human or robot interacts with its environment. The multilayer in-place...
Recently more and more researches focus on the concept extraction from unstructured video data. To bridge the semantic gap between the low-level features and the high-level video concepts, a mid-level understanding of the video contents, i.e., salient object is detected based on the techniques of image segmentation and machine learning. Specifically, 21 salient object detectors are developed and tested...
In this paper we present a novel framework for semantic retrieval of video database. Each frame of video clips, characterized by its HSV (hue-saturation-value) color feature, is first projected onto the spatial principle components via CCIPCA (candid covariance-free incremental principal component analysis). Temporal Chebyshev polynomials for video clips of various lengths are captured subsequently...
We propose in this paper an efficient early termination algorithm of intra prediction for H.264/AVC. It uses the spatial correlation after 16times16 inter prediction to make the judgement on whether to discard intra prediction or not. Experimental results demonstrate that the proposed algorithm can save the encoding time of H.264/AVC (JM98) between 25-45% with negligible degradation in the quality
In this paper we propose a patch-wise coarse-to-fine algorithm for image restoration using the manifold way of visual perception. All undistorted image patches are supposed to lie on a quotient set-based nonlinear manifold, and restoration of each degraded image patch can be implemented by projecting it to a locally linear region of such nonlinear manifold. The details of the original image can be...
Recent advantages in digital images and networks have made pornographic images more accessible than ever. Methods of detecting pornographic images have been proposed in some existing work. However, the skin detection modules adopted are all pixel-based and skin region shape features are rarely properly used. This paper presents a framework for pornographic image detection based on skin region information...
Retrieving similar video clips from large video database requires high query efficiency, precision and recall, which remains a challenging problem since the traditional query algorithms are inefficient and time-consuming. In this paper, we adopt the high-dimensional index structure vector-approximation file (VA-file) to organize the video database, and propose a new similarity measure which takes...
In this paper, a fully biocompatible and flexible micro neural probe based on SU-8 to record neural spike signals from regenerated axons from amputated peripheral nerves is presented. The channel structures were designed at the tip of the probe to capture a single axon and guide its growth to ensure good quality contact between the single axon and the gold micro electrode. The gold electrodes placed...
There has been a significant interest in employing terahertz (THz) technology, spectroscopy and imaging for nondestructive evaluation. The implementations of some different THz imaging measurements for non-destructive examination of diverse materials in practical applications are briefly introduced. Examples of the measurement of maize seeds and fuel tank insulation foam panel and razor blade using...
It is very critical to determine a suitable quantity parameter (QP) in the rate control of video compression. The first frame QP of a GOP (group of picture) affects subsequent frame QP of this GOP, therefore, it has an important impact on the compression video quality of entire video sequences. However, the existing rate control algorithms do not pay much attention to this issue. In this paper, the...
In order to enhance the global optimal search ability of AIA in solving multi-modal function optimization problem, based on mechanism of immune theory and genetic algorithm, a function "stretching" technique is introduced to obtain stretching immune genetic algorithm (SIGA). The algorithm equipped with the technique can narrow the range of extreme value of the objective function, so it reduces...
A new immune algorithm - the clonal chaos adjustment algorithm (CCAA) is proposed by integrating the chaos mechanism on the basis of the clonal selection principle and idiotypic immune network theory exhibited in biological immune system. Taking advantages of the ergodic and stochastic properties of chaos logistic equation, an adaptive chaos mutation operator is designed by the combination of prior...
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