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...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.展开更多
Object-based audio coding is the main technique of audio scene coding. It can effectively reconstruct each object trajectory, besides provide sufficient flexibility for personalized audio scene reconstruction. So more...Object-based audio coding is the main technique of audio scene coding. It can effectively reconstruct each object trajectory, besides provide sufficient flexibility for personalized audio scene reconstruction. So more and more attentions have been paid to the object-based audio coding. However, existing object-based techniques have poor sound quality because of low parameter frequency domain resolution. In order to achieve high quality audio object coding, we propose a new coding framework with introducing the non-negative matrix factorization(NMF) method. We extract object parameters with high resolution to improve sound quality, and apply NMF method to parameter coding to reduce the high bitrate caused by high resolution. And the experimental results have shown that the proposed framework can improve the coding quality by 25%, so it can provide a better solution to encode audio scene in a more flexible and higher quality way.展开更多
This paper proposes a motion-based region growing segmentation scheme, which incorporatesluminance and motion information simultaneously and uses morphological tools such as open-close byreconstruction and the region-...This paper proposes a motion-based region growing segmentation scheme, which incorporatesluminance and motion information simultaneously and uses morphological tools such as open-close byreconstruction and the region-growing version of the watershed algorithm. The main advantage of this scheme is thatthe resultant objects ore characterized by a coherent motion and foe moving object boundaries are precisely located.Simulation results demonstrate the effiency of the Proposed scheme.展开更多
The code of ethics and standards of professional conduct are important and necessary,for it provides standards for professional's daily dealing.It forbids conflicts of interest minimizing problems;it enhances publ...The code of ethics and standards of professional conduct are important and necessary,for it provides standards for professional's daily dealing.It forbids conflicts of interest minimizing problems;it enhances public trust;and it lifts up high moral and ethical standards.Maintaining independence and objectivity in daily activities and following the code provide a fine basis of ethi caljudgments.展开更多
A novel modified optimization technique known as the multi-objective micro particle swarm optimization（MO-MicPSO） is proposed for polyphase coded signal design.The proposed MO-MicPSO requires only a small population...A novel modified optimization technique known as the multi-objective micro particle swarm optimization（MO-MicPSO） is proposed for polyphase coded signal design.The proposed MO-MicPSO requires only a small population size compared with the standard particle swarm optimization that uses a larger population size.This new method is guided by an elite archive to finish the multi-objective optimization.The orthogonal polyphase coded signal（OPCS） can fundamentally improve the multiple input multiple output（MIMO） radar system performance,with which the radar system has high resolution and abundant signal channels.Simulation results on the polyphase coded signal design show that the MO-MicPSO can perform quite well for this high-dimensional multi-objective optimized problem.Compared with particle swarm optimization or genetic algorithm,the proposed MO-MicPSO has a better optimized efficiency and less time consumption.展开更多
为满足全国烟草生产经营管理一体化平台建设对行业信息分类与编码的需求,按照“流程、实体、服务”三类数字对象对信息系统进行解构,结合烟草行业业务实际情况,提出层级互信息聚类算法(Hierarchical Mutual Information Clustering,HMI...为满足全国烟草生产经营管理一体化平台建设对行业信息分类与编码的需求,按照“流程、实体、服务”三类数字对象对信息系统进行解构,结合烟草行业业务实际情况,提出层级互信息聚类算法(Hierarchical Mutual Information Clustering,HMIC),通过对文本数据进行自然语言处理,计算不同数字对象在不同分类层级的互信息,利用层次聚类算法对数字对象进行聚类,从而得到烟草行业信息分类,并在此基础上进行信息编码。将HMIC与常用聚类算法进行对比测试,结果表明:①所构建的HMIC模型的信息分类效果最好,其整体信息熵比使用欧氏距离的聚类算法降低约8.2%,比仅使用互信息矩阵的聚类算法降低约2.5%。②从信息量的角度对分类编码进行研究,能够更好地区分不同类别之间的差异,提高信息分类与编码的可用性。该技术可为指导信息系统项目全生命周期建设提供支持。展开更多
基金This work was supported by National Natural Science Foundation of China (No.60372066)
文摘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.
基金supported by National High Technology Research and Development Program of China (863 Program) (No.2015AA016306)National Nature Science Foundation of China (No.61231015)National Nature Science Foundation of China (No.61671335)
文摘Object-based audio coding is the main technique of audio scene coding. It can effectively reconstruct each object trajectory, besides provide sufficient flexibility for personalized audio scene reconstruction. So more and more attentions have been paid to the object-based audio coding. However, existing object-based techniques have poor sound quality because of low parameter frequency domain resolution. In order to achieve high quality audio object coding, we propose a new coding framework with introducing the non-negative matrix factorization(NMF) method. We extract object parameters with high resolution to improve sound quality, and apply NMF method to parameter coding to reduce the high bitrate caused by high resolution. And the experimental results have shown that the proposed framework can improve the coding quality by 25%, so it can provide a better solution to encode audio scene in a more flexible and higher quality way.
文摘This paper proposes a motion-based region growing segmentation scheme, which incorporatesluminance and motion information simultaneously and uses morphological tools such as open-close byreconstruction and the region-growing version of the watershed algorithm. The main advantage of this scheme is thatthe resultant objects ore characterized by a coherent motion and foe moving object boundaries are precisely located.Simulation results demonstrate the effiency of the Proposed scheme.
文摘The code of ethics and standards of professional conduct are important and necessary,for it provides standards for professional's daily dealing.It forbids conflicts of interest minimizing problems;it enhances public trust;and it lifts up high moral and ethical standards.Maintaining independence and objectivity in daily activities and following the code provide a fine basis of ethi caljudgments.
基金supported by the National Natural Science Foundation of China (60601016)
文摘A novel modified optimization technique known as the multi-objective micro particle swarm optimization（MO-MicPSO） is proposed for polyphase coded signal design.The proposed MO-MicPSO requires only a small population size compared with the standard particle swarm optimization that uses a larger population size.This new method is guided by an elite archive to finish the multi-objective optimization.The orthogonal polyphase coded signal（OPCS） can fundamentally improve the multiple input multiple output（MIMO） radar system performance,with which the radar system has high resolution and abundant signal channels.Simulation results on the polyphase coded signal design show that the MO-MicPSO can perform quite well for this high-dimensional multi-objective optimized problem.Compared with particle swarm optimization or genetic algorithm,the proposed MO-MicPSO has a better optimized efficiency and less time consumption.
文摘为满足全国烟草生产经营管理一体化平台建设对行业信息分类与编码的需求,按照“流程、实体、服务”三类数字对象对信息系统进行解构,结合烟草行业业务实际情况,提出层级互信息聚类算法(Hierarchical Mutual Information Clustering,HMIC),通过对文本数据进行自然语言处理,计算不同数字对象在不同分类层级的互信息,利用层次聚类算法对数字对象进行聚类,从而得到烟草行业信息分类,并在此基础上进行信息编码。将HMIC与常用聚类算法进行对比测试,结果表明:①所构建的HMIC模型的信息分类效果最好,其整体信息熵比使用欧氏距离的聚类算法降低约8.2%,比仅使用互信息矩阵的聚类算法降低约2.5%。②从信息量的角度对分类编码进行研究,能够更好地区分不同类别之间的差异,提高信息分类与编码的可用性。该技术可为指导信息系统项目全生命周期建设提供支持。
