This paper proposes a drawing tool recognition method based on features calculated from the shape of stroke endings. The application for this method is to help art historians to identify the drawing tool used for a dr...
Visual attention has been widely used in image pre-processing, since it can rapidly detect the region of interest in the given scene. This paper presents a novel technique to track the moving object, which is based on...
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Visual attention has been widely used in image pre-processing, since it can rapidly detect the region of interest in the given scene. This paper presents a novel technique to track the moving object, which is based on the motion saliency model. The salient region is computed by the combination of multi-feature maps and motion saliency map, which vastly reduce the amount of information in further imageprocessing. Next, a single matching method, normalized color histogram, is used to measure the similarity for tracking processing. Experimental results, found in AVSS 07, are reported, which validate our model useful and effective.
A novel approach is proposed for point target detection in sea clutter Synthetic Aperture Radar (SAR) image. Firstly, pointwise Holder exponent of the original image is computed and proposed binary-fuzzy processing is...
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A novel approach is proposed for point target detection in sea clutter Synthetic Aperture Radar (SAR) image. Firstly, pointwise Holder exponent of the original image is computed and proposed binary-fuzzy processing is applied on this Holder image for target enhancement, and then, the processed image data is used as input data to Independent Component Analysis (ICA). After convergence, based on the space separation theory we develop, original space of modified Holder image is separated into two subspaces called clean-space and noise-space consisting of respective independent components and corresponding basis images. Finally, the detection result is obtained with construction on the 'clean' subspace and clear extraction is obtained with simple morphological operation. As the results show, the proposed method is validated and point target is detected more efficiently compared with conventional methods.
Small storage space for photographs in formal documents is increasingly necessary in today＇s needs for huge amounts of data communication and storage. Traditional compression algorithms do not sufficiently utilize th...
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Small storage space for photographs in formal documents is increasingly necessary in today＇s needs for huge amounts of data communication and storage. Traditional compression algorithms do not sufficiently utilize the distinctness of formal photographs. That is, the object is an image of the human head, and the background is in unicolor. Therefore, the compression is of low efficiency and the image after compression is still space-consuming. This paper presents an image compression algorithm based on object segmentation for practical high-efficiency applications. To achieve high coding efficiency, shape-adaptive discrete wavelet transforms are used to transformation arbitrarily shaped objects. The areas of the human head and its background are compressed separately to reduce the coding redundancy of the background. Two methods, lossless image contour coding based on differential chain, and modified set partitioning in hierarchical trees （SPIHT） algorithm of arbitrary shape, are discussed in detail. The results of experiments show that when bit per pixel （bpp）is equal to 0.078, peak signal-to-noise ratio （PSNR） of reconstructed photograph will exceed the standard of SPIHT by nearly 4dB.
The number and arrangement of subunits that form a protein are referred to as quaternary *** the quaternary structure of an uncharacterized protein provides clues to finding its biological function and interaction pro...
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The number and arrangement of subunits that form a protein are referred to as quaternary *** the quaternary structure of an uncharacterized protein provides clues to finding its biological function and interaction process with other molecules in a biological *** the explosion of protein sequences generated in the Post-Genomic Age,it is vital to develop an automated method to deal with such a *** explore this prob-lem,we adopted an approach based on the pseudo position-specific score matrix(Pse-PSSM)descriptor,proposed by Chou and Shen,representing a protein *** Pse-PSSM descriptor is advantageous in that it can combine the evolution information and sequence-correlated ***,incorporating all these effects into a descriptor may cause‘high dimension disaster’.To over-come such a problem,the fusion approach was adopted by Chou and Shen.A completely different approach,linear dimensionality reduction algorithm principal component analysis(PCA)is introduced to extract key features from the high-dimensional Pse-PSSM *** obtained dimension-reduced descriptor vector is a compact repre-sentation of the original high dimensional *** jack-knife test results indicate that the dimensionality reduction approach is efficient in coping with complicated problems in biological systems,such as predicting the quaternary struc-ture of proteins.
This paper proposed an accelerated algorithm for EWA volume Splatting based on modern graphic processing unit (GPU). It mainly made use of point sprite, frame buffer object and programmable function of GPU. In the alg...
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This paper proposed an accelerated algorithm for EWA volume Splatting based on modern graphic processing unit (GPU). It mainly made use of point sprite, frame buffer object and programmable function of GPU. In the algorithm, sampling points are directly regarded as proxy geometry, three dimension texture coordinates at pixels are computed by ray tracing in GPU and Gaussian filter is replaced by an approximate filter. The experimental results demonstrate that the algorithm can be used in high quality and interactive visualization.
We propose a straightforward skin detection method for online videos. To overcome varying illumination circumstances and a variety of skin colors, we introduce a multiple model approach which can be carried out indepe...
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ISBN:
(纸本)9781605583181
We propose a straightforward skin detection method for online videos. To overcome varying illumination circumstances and a variety of skin colors, we introduce a multiple model approach which can be carried out independently per model. The color models are initiated by skin detection based on face detection and adapted in real time. Our approach outperforms static approaches both in precision and runtime. If we detect a face in a scene, the number of false positives can be diminished significantly. Evaluation is carried out on publicly available on-line videos showing that adaptive multiple model outperforms static methods in classification precision and suppression of false positives. Copyright 2008 ACM.
In this paper, an iris feature-based PKI key generation is proposed. Contributions include a general approach for distinguishable iris feature generation and a PKI key generation mechanism. The proposed method differs...
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This paper introduced a novel high performance algorithm and VLSI architectures for achieving bit plane coding （BPC） in word level sequential and parallel mode. The proposed BPC algorithm adopts the techniques of co...
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This paper introduced a novel high performance algorithm and VLSI architectures for achieving bit plane coding （BPC） in word level sequential and parallel mode. The proposed BPC algorithm adopts the techniques of coding pass prediction and parallel ＆ pipeline to reduce the number of accessing memory and to increase the ability of concurrently processing of the system, where all the coefficient bits of a code block could be coded by only one scan. A new parallel bit plane architecture （PA） was proposed to achieve word-level sequential coding. Moreover, an efficient high-speed architecture （HA） was presented to achieve multi-word parallel coding. Compared to the state of the art, the proposed PA could reduce the hardware cost more efficiently, though the throughput retains one coefficient coded per clock. While the proposed HA could perform coding for 4 coefficients belonging to a stripe column at one intra-clock cycle, so that coding for an NxN code-block could be completed in approximate N2/4 intra-clock cycles. Theoretical analysis and experimental results demonstrate that the proposed designs have high throughput rate with good performance in terms of speedup to cost, which can be good alternatives for low power applications.
In classification of multispectral remote sensing image, it is usually difficult to obtain higher classification accuracy if only consider image's spectral feature or texture feature alone. In this paper ,we prese...
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