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Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)最新文献

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Facial Expressions for 3D Game Applications 3D游戏应用的面部表情
T. Lu, Daosheng Mu, Minchih Tsai
Morphing is a process of smoothly transforming from one shape into another. In this paper, we present a feature-based method of employing mesh morphing to compute two homeomorphic facial meshes for animating 3D facial expressions in virtual worlds. We divide the method into five steps, including mesh parameterization, feature specification, vertex correspondence, and point interpolation. Relying on sparse sets of user specified feature points, a semi-automatic ripple searching algorithm is proposed to cope with the problem of establishing a one-to-one correspondence between source and target meshes. After the operation of correspondence establishment, we employ Bezier interpolation with four data control points to transform from the source mesh to the target mesh. Finally, three pairs of facial meshes with surface textures are demonstrated to produce a series of facial expressions by using the proposed method.
变形是指从一种形状平滑地转变为另一种形状的过程。在本文中,我们提出了一种基于特征的方法,利用网格变形来计算虚拟世界中三维面部表情动画的两个同胚面部网格。我们将该方法分为五个步骤,包括网格参数化、特征规范、顶点对应和点插值。基于用户指定特征点的稀疏集,提出了一种半自动纹波搜索算法来解决源网格与目标网格之间建立一对一对应关系的问题。在建立对应关系后,采用带有4个数据控制点的Bezier插值从源网格转换到目标网格。最后,利用该方法对具有表面纹理的三对面部网格进行了验证,生成了一系列的面部表情。
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引用次数: 1
An Integration of Fuzzy theory and ISM for Concept Structure Analysis with Application of Learning MATLAB 模糊理论与ISM在概念结构分析中的集成及MATLAB学习应用
J. Yih, Yuan-Horng Lin
The purpose of this study is to provide an integrated method of fuzzy approach for individualized concept structure analysis. This method integrates algorithm of fuzzy logic model of perception (FLMP) and interpretive structural modeling (ISM). The combined algorithm could analyze the individualized concepts structure based on comparisons with expert. The authors provide the empirical data analysis of concepts on using MATLAB for university students. The results show that students with different response patterns and total score own varied concept structures. Based on the findings and results, some suggestions and recommendations for future research are provided.
本研究的目的是提供一种综合模糊方法来分析个体化概念结构。该方法将模糊感知逻辑模型(FLMP)算法与解释结构建模(ISM)算法相结合。该组合算法可以在与专家比较的基础上分析出个性化的概念结构。作者对大学生使用MATLAB进行概念的实证数据分析。结果表明,不同反应方式和总分的学生具有不同的概念结构。在此基础上,对今后的研究提出了一些建议。
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引用次数: 4
Eyes Tracking in a Video Sequence Based-On Haar-like Features and Skin Color 基于haar样特征和肤色的视频序列眼动追踪
Q. Han, Qiong Li, Xiongdong Huang, Tong Zhou, X. Niu
This paper presents a method of face and eyes locating and tracking in a video sequence based on haar-like feature and face skin color. This method first extracts the haar-like feature of face and utilize adaboost algorithm to detect face in image. Then a appropriate skin-model is employed to dispose and locate the eyes based on the geometrical model. Finally the face and eyes tracking in the video sequence is achieved. Testing with a general PC camera in the laboratory environment shows that the method provides high precision and speed.
本文提出了一种基于haar-like feature和人脸肤色的视频序列中人脸和眼睛的定位与跟踪方法。该方法首先提取人脸的haar-like特征,利用adaboost算法对图像中的人脸进行检测。然后根据所建立的几何模型,采用合适的皮肤模型对眼睛进行处理和定位。最后实现了视频序列中人脸和眼睛的跟踪。在实验室环境下用普通PC摄像机进行了测试,结果表明该方法具有较高的精度和速度。
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引用次数: 3
Colour Contrast Enhancement on Preselected Cervical Cell for ThinPrep® Images 颜色对比度增强预选宫颈细胞ThinPrep®图像
N. Mustafa, N. Isa, M. Y. Mashor, N. Othman
ThinPrepreg monolayer cytology was introduced to overcome the limitations of conventional Pap smear test for screening of cervical cancer. The cytological features in ThinPrepreg images could be improved if unwanted background information and poor contrast could be eliminated. This study proposes a contrast enhancement technique, which is only applied on the cervical cell of interest. The proposed technique is divided into two stages. Firstly, the cervical cells of interest will be selected using the modified seed based region growing algorithm. Then, the contrast of cervical cell of interest in the ThinPrepreg will be enhanced by using three contrast enhancement algorithms. The cervical cell of interest will be applied with linear contrast algorithm and the proposed nonlinear algorithms namely non-linear bright and nonlinear dark contrast to enhance the contrast of the ThinPrepreg images. The results show that the proposed technique improves the image quality. Hence, the resultant image would be rendered more useful for further analysis by pathologists.
为了克服传统巴氏涂片检查筛查子宫颈癌的局限性,引入了薄胎膜单层细胞学。如果消除不必要的背景信息和对比度差,可以改善ThinPrepreg图像的细胞学特征。本研究提出了一种对比度增强技术,仅适用于感兴趣的宫颈细胞。所提出的技术分为两个阶段。首先,使用改进的基于种子的区域生长算法选择感兴趣的子宫颈细胞;然后,使用三种对比度增强算法增强ThinPrepreg中感兴趣的宫颈细胞的对比度。将感兴趣的宫颈细胞应用线性对比度算法和所提出的非线性算法,即非线性亮对比度和非线性暗对比度来增强ThinPrepreg图像的对比度。结果表明,该方法提高了图像质量。因此,结果图像将呈现更有用的进一步分析病理学家。
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引用次数: 11
Using Knowledge Management Technologies to Develop Reflective Learning 运用知识管理技术发展反思性学习
Mingzhang Zuo, Ling-yun Yi, Gan-nian Zhang
This article has discussed three knowledge management technologies which can be used to develop reflective learning. This paper will explore the definition of reflective learning. The components related to the process of reflective learning are discussed in six areas: (1) self-examination (2) estimate if it is effective, (3) give birth to questions (4) analyze the difficulties and the gaps, (5) Give strategies, and (6) evaluate if it is effective. Based on the components, the following analyzes and demonstrates how and why they are relevant to each other. A model is provided to illustrate using three knowledge management technologies to develop reflective learning. Finally, an example is given to indicate the strategies applied to answer specific practical problem.
本文讨论了三种可用于开展反思性学习的知识管理技术。本文将探讨反思性学习的定义。与反思性学习过程相关的组成部分在六个方面进行了讨论:(1)自我检查(2)评估是否有效,(3)提出问题(4)分析困难和差距,(5)给出策略,(6)评估是否有效。基于这些组件,下面将分析并演示它们如何以及为什么彼此相关。本文提供了一个模型来说明如何利用三种知识管理技术发展反思性学习。最后,通过一个实例说明了针对具体实际问题所采用的策略。
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引用次数: 3
A Modified Particle Swarm Optimization Algorithm with Dynamic Adaptive 一种改进的动态自适应粒子群优化算法
Yang Bo, Zhang Ding-xue, Liao Rui-quan
To overcome premature searching by standard particle swarm optimization (PSO) algorithm for the large lost in population diversity, the measure of population diversity and its calculation are given, and an adaptive PSO with dynamically changing inertia weight is proposed. Simulation results show that the adaptive PSO not only effectively alleviates the problem of premature convergence, but also has fast convergence speed for balancing the trade-off between exploration and exploitation.
针对标准粒子群优化算法过早搜索导致种群多样性损失大的问题,给出了种群多样性的度量和计算方法,提出了一种动态变化惯性权值的自适应粒子群优化算法。仿真结果表明,该自适应粒子群算法不仅有效地缓解了早熟收敛问题,而且具有较快的收敛速度,能够很好地平衡探索和开发之间的权衡。
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引用次数: 8
A Robust Audio Fingerprinting Scheme for MP3 Copyright 一种鲁棒的MP3版权音频指纹识别方案
Che-Jen Hsieh, Jung-Shian Li, Cheng-Fu Hung
Digital contents are easy to be pirated and to be distributed in today's Internet. Digital right management is an important topic to squash pop music pirates. In this paper, we will introduce the data hiding platform "MP3Stego" for MP3 files and we propose a "fingerprinting with error correcting coding" (FPecc) method on MP3Stego to increase robustness for its weakness. Through analytical results, the proposed method shows obvious improvement to prevent attacks.
在今天的互联网上,数字内容很容易被盗版和传播。数字版权管理是打击流行音乐盗版的重要课题。本文介绍了MP3文件的数据隐藏平台“MP3Stego”,并提出了一种基于MP3Stego的“带纠错编码的指纹识别”(FPecc)方法,以提高MP3Stego的鲁棒性。分析结果表明,该方法在防止攻击方面有明显的改进。
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引用次数: 3
GOP-based Rate Control for H.264/SVC with Hierarchical B-pictures 基于gopp的H.264/SVC分级b图像的速率控制
Yongjin Cho, C.-C. Jay Kuo, Ming Hsieh, Do-Kyoung Kwon
A GOP-based rate control algorithm for hierarchical B-pictures in H.264/SVC is proposed in this work. The problem is firstly formulated as a bit allocation problem among different temporal layers. Due to the dependency of these layers, we propose a Q-selection tree solution framework. The monotonicity property is exploited to prune the Q-selection tree. Then, the rate-distortion (R-D) data is calculated at a selected set of leaf nodes in any admissible Q-selection tree. The R-D data of other leaf nodes are interpolated using the log-linearity property of a local R-D model. It is shown by experiments that the proposed algorithm achieves a significant coding gain improvement at different target bit rates.
提出了一种基于gopp的H.264/SVC分级b图像的速率控制算法。首先将该问题表述为不同时间层之间的位分配问题。由于这些层的依赖性,我们提出了一个q选择树解决框架。利用单调性对q选择树进行剪枝。然后,在任意可接受的q选择树的一组选定的叶节点上计算率失真(R-D)数据。利用局部R-D模型的对数线性特性对其他叶节点的R-D数据进行插值。实验表明,该算法在不同的目标比特率下均能显著提高编码增益。
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引用次数: 8
Secret Image Sharing Using Quadratic Residues 基于二次残数的秘密图像共享
Chang-Chu Chen, Chinchen Chang
Secret image sharing is a technique for protecting image by splitting secret image into many shadow images that are transmitted and stored separately. In the scheme proposed in this paper, each pixel of secret image is encrypted using quadratic residues, and the cipher text is split into two bytes which are shared into two shadow images. According to the restriction of grey level images, we design two methods, namely lossy method and lossless method. The lossy method maintains the size of shadow images and the experimental results show that this method achieves high PSNR values. The lossless method enlarges shadow images to hold the overflow information. Furthermore, with quadratic residues, it is difficult to find square roots modulo a composite number, so the proposed scheme achieves image transmission secrecy.
秘密图像共享是一种通过将秘密图像分割成多个单独传输和存储的阴影图像来保护图像的技术。在本文提出的方案中,使用二次残数对秘密图像的每个像素进行加密,并将密文分割成两个字节,共享到两个阴影图像中。根据灰度图像的限制,我们设计了两种方法,即有损法和无损法。实验结果表明,该方法能够保持阴影图像的大小,达到较高的PSNR值。无损方法放大阴影图像以保存溢出信息。此外,由于存在二次残差,很难找到对合数取模的平方根,因此该方案实现了图像传输的保密性。
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引用次数: 19
Host-Cooperative Metadata Embedding Framework 主机-协作元数据嵌入框架
A. Kunisa
This paper presents a new metadata embedding framework for multimedia content where the metadata and its related information are registered in a database. A watermarking method based on the framework computes the metadata that provides content with the smallest perceptual artifact by way of extracting the metadata from the original unwatermarked content. This can reduce the watermark power at the embedding because the content itself naturally contains the metadata. In the case that the extracted metadata has already been registered in the database, several bits in the metadata are inverted so as to avoid the double metadata registration and also detect it with probability higher than the other unregistered metadata.
本文提出了一种新的多媒体内容元数据嵌入框架,将元数据及其相关信息注册到数据库中。基于该框架的水印方法通过从原始未加水印的内容中提取元数据来计算提供具有最小感知伪影的内容的元数据。由于内容本身自然地包含元数据,因此可以减少嵌入时的水印功率。在提取的元数据已经在数据库中注册的情况下,将元数据中的几个位进行倒排,避免了元数据的双重注册,并且比其他未注册的元数据检测到的概率更高。
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引用次数: 1
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Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)
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