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35 intra-prediction modes in High Efficiency VideoCoding (HEVC) make the prediction image more accurate andsignificantly improve the coding image quality, but numerousintra-prediction modes results in a remarkable rise incomputational complexity compared with H.264.In order toreduce computational complexity, a low-complexity HEVC intracomputation method that utilizes image textural featureinformation...
Adaptation refers to the general phenomenon that a neural system dynamically adjusts its response property according to the statistics of external inputs. In response to a prolonged constant stimulation, neuronal firing rates always first increase dramatically at the onset of the stimulation; and afterwards, they decrease rapidly to a low level close to background activity. This attenuation of neural...
Brain-computer interfacing (BCI) based on steady-state visual evoked potentials (SSVEPs) is one of the most practical BCIs because of its high recognition accuracies and little training of a user. Mixed frequency and phase coding which can implement a number of commands and achieve a high information transfer rate (ITR) has recently been gaining much attention. In order to implement mixed-coded SSVEP-BCI...
Direct sequence spread spectrum (DSSS) is an optimal mode of coding for data communication. Spread spectrum coding were used in various communication modes, which gives an advantage of channel interference minimization, with maximum spectrum utilization. With the simplicity in coding efficiency, this coding approach was most effectively used in various application of data exchange. However, with the...
In addition to the texture, multiview video employs the utilization of depth coding for the reconstruction of 3D video and Free viewpoint video. Standing on some texture-depth correlations, a number of methods in literature reuses texture motion vector for the corresponding depth coding to reduce encoding time by avoiding costly motion estimation process. However, texture similarity metric is not...
YCbCr color space is widely used in previous video coding standards such as H.264 and the latest video coding standard HEVC. Although the conversion from RGB to YCbCr reduces the inter-channel redundancy significantly, there are still some correlations among Y, Cb and Cr. In order to reduce the inter-channel redundancy, LM mode was proposed based on HEVC in which the reconstructed luma component is...
Often in real-world applications such as web page categorization, automatic image annotations and protein function prediction, each instance is associated with multiple labels (categories) simultaneously. In addition, due to the labeling cost one usually deals with a large amount of unlabeled data while the fraction of labeled data points will typically be small. In this paper, we propose a multi-label...
The hardware implementation of neural network models allows to efficiently exploit their inherent parallelism. Here, we focus on the Liquid State Machine (LSM) methodology to build recurrent Spiking Neural Networks (SNN), particularly suited to process time-dependent signals. We propose a low cost hardware implementation of LSM networks based on the use of stochastic computing (SC) concepts. The functionality...
Hyperspectral image (HSI) denoising is a significant preprocessing step to improve the performance of subsequent applications. Recently, HSI denoising methods using low rank representation and sparse coding have attracted much attention. In the HSI, there exists strong local correlations between spectral signatures within each full-band patch (FBP), i.e., the subcube containing the same area of all...
Computer-generated hologram (CGH) has attracted much attention over the past decades, and has been widely applied in many areas, such as display, security and optical tweezer. In this paper, CGH-based authentication approach is presented by using optical correlation. After the original image is sparsified, phase-only mask is iteratively extracted as ciphertext based on CGH system. It is illustrated...
Hashing has been widely used for approximate nearest neighbor search of high-dimensional multimedia data. In this paper, we propose a novel hash learning framework that maps high-dimensional multimodal data into a common Hamming space where the cross-modal similarity can be measured using Hamming distance. Unlike existing cross-modal hashing methods that learn hash functions in the form of numeric...
High frequency (HF) band covers frequencies between 3–30 MHz. With wavelengths of 10–100 m, HF band enables communications over a very long distances though a skywave propagation. As HF band has several benefits like versatility and large coverage area, it suffers phenomena like rapidly changing environment and strong interference. The cognitive radio concept which adapts to the changes in the environment...
Recently, the latest advances in compact feature representation and feature learning have provided an efficient framework for several visual analysis tasks, such as object recognition. However, when multiple cameras with overlapping fields-of-view are employed, other visual analysis tasks such as depth estimation can be supported and object recognition accuracy can be improved. In this paper the problem...
Depth maps are becoming increasingly important in the context of emerging video coding and processing applications. Depth images represent the scene surface and are characterized by areas of smoothly varying grey levels separated by sharp edges at the position of object boundaries. To enable high quality view rendering at the receiver side, preservation of these characteristics is important. Lossless...
As 3D media became more and more popular over the last years, new technologies are needed in the transmission, compression and creation of 3D content. One of the most commonly used techniques for aiding with the compression and creation of 3D content is known as view synthesis. The most effective class of view synthesis algorithms are using Depth-Image-Based-Rendering techniques, which use explicit...
In this paper, an efficient feature encoding for firstperson video is introduced. The proposed method is appropriate for abstraction of high dimensional features such as those extracted from Convolutional Neural Networks (CNNs). The perframe extracted features are considered as time series, and the relations between them, in both temporal and spatial directions, are employed to represent the video...
We investigate the transmission of multiple correlated binary sources to a single destination over non-orthogonal Gaussian multiple access channels (MACs). By considering a binary codebook, we derive the admissible rate regions of the two-source Gaussian MAC. It is demonstrated that the admissible rate region increases as the correlation between the sources increases. Furthermore, we develop an iterative...
Compressed sensing, further to its ability of reducing resources spent in signal acquisition, may be seen as an implicit private-key encryption scheme. The level of achievable secrecy has been analyzed in the most classical settings, when the sensing matrix is made of independent and identically distributed entries. Yet, it is known that substantially improved acquisition can be achieved by tuning...
Discrete Cosine Transform (DCT) has been the commonly used transform for a few decades in image/video coding. However, DCT does not work well on the blocks having anisotropic correlations. In this paper, based on the adaptive dictionary, we propose a new online transform scheme using Orthogonal Matching Pursuit (OMP) for High Efficiency Video Coding (HEVC). For a coding block, we construct its dictionary...
In a distributed video coding problem, use of a correct model for the correlation noise plays a significant role in improving the decoding performance and consequently in providing higher coding efficiency. In this work, we first study the predictive and additive correlation noise models at the DCT coefficient band level for transform-domain distributed video coding. Then, bounds on compression rates...
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