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The extraction of multi-view matching points is one of the key elements in 3D reconstruction of multi-view image scene, because the extraction results will directly affect the accuracy of 3D reconstruction. With the conversion from the extraction of multi-view matching points to dynamic connectivity, a solution based on the Union Find algorithm was designed. The efficient tree structure with parent-link...
In this paper we analyse the redundancy rate of a variant of sliding window Lempel-Ziv (SWLZ) proposed by Bender and Wolf, which encodes phrase lengths differently from the original algorithm. We examine upper bound on the contribution of phrase length bits for this variant to get an overall upper bound of O(1/log nw) on the redundancy rate for Markov sources which is better than the lower bound of...
Security of Cyber-Physical Systems (CPS) against Cyber attacks has become an important challenging research field. False data injections on control and/or measurement signals of a Fault-Tolerant Control System (FTCS) can be treated as detectable virtual actuator or sensor faults. In this case, the FTCS can automatically accommodate false data injections by triggering the controller reconfiguration...
In this paper, we propose an efficient motion estimation hardware architecture for High Efficiency Video Coding (HEVC) using a Modified Reference Data Access Skip (MRDAS) for reducing the minimum memory bandwidth. The memory bandwidth is responsible for the throughput limitations in motion estimation, especially when dealing with high quality video of a large frame size and search range. This architecture...
Independent Component Analysis (ICA) is a statistical method for transforming an observable multi-dimensional random vector into components that are as statistically independent as possible from each other. The binary ICA (BICA) is a special case of ICA in which both the observations and the independent components are over a binary alphabet. The BICA problem has received a significant amount of attention...
According to the characteristics of Weibo event, this paper analyzes the advantages and disadvantages of the traditional K-means algorithm, and proposes the K-means clustering algorithm of events based on variable time granularity. The experiments show that the improved algorithm is more suitable for clustering analysis of Weibo event, improves the efficiency of clustering algorithm, and solves the...
In most sematic based service discovery procedure, subsumption testing and LCA (lowest common ancestor) detection are the necessary step. There are a lot of algorisms to do this job. However, in the multiple inheritance hierarchies' scenery, many traditional algorisms cannot work properly. In this paper, we propose a gene based ontology encoding method which can implement subsumption testing and LCA...
The next generation video coding standard, High Efficiency Video Coding (HEVC) has achieved great gains over the previous standards. However, the high efficiency brings huge computation complexity. In order to solve the problem of balance between complexity and performance, this paper presents a fast algorithm for the intra part in HEVC. The algorithm includes a pre-partitioning for CUs based on the...
A new electrocardiogram (ECG) lossy compression scheme has been developed. The algorithm can reach high compression ratios with a reduced error which makes it suitable for real-time electrocardiogram monitoring. The new algorithm is based on delta coding technique. Low and high coding categories were made to encode the differences and insure an optimized compressed signal. In addition the number of...
Encoders based on the High Efficiency Video Coding (HEVC) standard consider an input sequence as a succession of slices grouped in Structures of Pictures (SOP). The SOP used while encoding specifies many parameters, such as the coding order of frames, or the reference frames used during inter-prediction. Reference encoders typically make use of a fixed SOP structure of a given size, which is periodically...
Sequential dictionary learning via the K-SVD algorithm has been revealed as a successful alternative to conventional data driven methods such as independent component analysis (ICA) for functional magnetic resonance imaging (fMRI) data analysis. fMRI data sets are however structured data matrices with notions of spatio-temporal correlation. This prior information has not been included in the K-SVD...
The demands for high quality multimedia contents and the advent of the Ultra High Definition (UHD) resolution have motivated the development of the High Efficiency Video Coding (HEVC) standard, which outperforms prior standards by up to 50% in terms of coding efficiency. This improvement, however, involves higher computational complexity in the encoder side, making it essential for realtime encoders...
We propose a novel computationally efficient hierarchical dictionary learning (HDL) approach for data-driven unmixing and functional connectivity analysis of functional magnetic resonance imaging (fMRI) data. It is shown that by simultaneously exploiting the sparsity of the spatial brain maps and the incoherence among their evolution in time or task functions, one can achieve better performance while...
The latest high efficiency video coding (HEVC) standard achieves about 50% bit-rate reduction at equivalent visual quality compared to H.264/AVC. Sample adaptive offset (SAO) is one of the newly adopted tools right after deblocking filter, which can improve both coding efficiency and visual quality. However, for real-time encoding scenarios, the complexity of SAO is usually too high to be enabled...
High efficiency video coding (HEVC) is the latest video coding standard, in which coding performance improvement of intra prediction comes from flexible block partitioning and advanced directional prediction. Blocks with strong directionality and regular patterns can be handled well by this finer granular directional prediction. However, irregular patterns and noises often exist in natural videos,...
This paper proposes a history-based tiling algorithm aiming at the increase of speedup when using Tiles. The algorithm is composed of two independent steps that use workload history information to define the vertical and horizontal boundaries of the Tiles. The workload distribution of previous frames are used as reference to perform the tiling of the current frame exploiting the temporal similarity...
Block Truncation Coding (BTC) is an effective lossy image coding technique that enjoys both high efficiency and low complexity especially when halftoning techniques are employed to shape the noise spectrum of its output. However, due to its block-based nature, blocking artifacts are commonly found in the coding outputs. In this work, a real-time halftoning-based BTC algorithm is proposed to solve...
Aiming at issues of load imbalance and low energy efficiency in the existing underwater sensor network clustering algorithm, a novel global optimal clustering algorithm with the low complexity and parallel processing is proposed. The algorithm is based on the basic idea of particle swarm optimization algorithm (PSO). After the binary initial code of the sensor nodes, the particle code is adjusted...
High Efficiency Video Coding (HEVC) achieves themost significant coding efficiency compared with all the existingvideo coding standards. However, the Intra encoding complexityis increased dramatically since the complex recursive searchalgorithm for the coding unit (CU) size decisions. In this paper, afast CU size decision algorithm based on Support Vector Machines(SVM) is proposed to further alleviate...
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...
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