An oblivious fragile watermarking scheme for images utilizing edge transitions in BTC bitmaps

As one of the famous block-based image coding schemes,block truncation coding(BTC) has been also applied in digital watermarking.Previous BTC-based watermarking or hiding schemes usually embed secret data by modifying the BTC encoding stage or BTC-compressed data,obtaining the watermarked image with poorer quality than the BTC-compressed version.This paper presents a new oblivious image watermarking scheme by exploiting BTC bitmaps.Unlike the traditional schemes,our approach does not really perform the BTC compression on images during the embedding process but utilizes the parity of the number of horizontal edge transitions in each BTC bitmap to guide the watermark embedding and extraction processes.The embedding process starts by partitioning the original cover image into non-overlapping 4×4 blocks and performing BTC on each block to obtain its BTC bitmap.One watermark bit is embedded in each block by modifying at most three pixel values in the block to make sure that the parity of the number of horizontal edge transitions in the bitmap of the modified block is equal to the embedded watermark bit.In the extraction stage,the suspicious image is first partitioned into non-overlapping 4×4 blocks and BTC is performed on each block to obtain its bitmap.Then,by checking the parity of the number of horizontal edge transitions in the bitmap,we can extract one watermark bit in each block.Experimental results demonstrate that the proposed watermarking scheme is fragile to various image processing operations while keeping the transparency very well.     

Convex relaxation for a 3D spatiotemporal segmentation model using the primal-dual method

A method based on 3D videos is proposed for multi-target segmentation and tracking with a moving viewing system. A spatiotemporal energy functional is built up to perform motion segmentation and estimation simultaneously. To overcome the limitation of the local minimum problem with the level set method, a convex relaxation method is applied to the 3D spatiotemporal segmentation model. The relaxed convex model is independent of the initial condition. A primal-dual algorithm is used to improve computational efficiency. Several indoor experiments show the validity of the proposed method.     

Diffusion tensor interpolation profile control using non-uniform motion on a Riemannian geodesic

Tensor interpolation is a key step in the processing algorithms of diffusion tensor imaging (DTI), such as registration and tractography. The diffusion tensor (DT) in biological tissues is assumed to be positive definite. However, the tensor interpolations in most clinical applications have used a Euclidian scheme that does not take this assumption into account. Several Rie-mannian schemes were developed to overcome this limitation. Although each of the Riemannian schemes uses different metrics, they all result in a ‘fixed’ interpolation profile that cannot adapt to a variety of diffusion patterns in biological tissues. In this paper, we propose a DT interpolation scheme to control the interpolation profile, and explore its feasibility in clinical applications. The profile controllability comes from the non-uniform motion of interpolation on the Riemannian geodesic. The interpolation experiment with medical DTI data shows that the profile control improves the interpolation quality by assessing the reconstruction errors with the determinant error, Euclidean norm, and Riemannian norm.     

Perspective:Societally connected multimedia across cultures

The advance of the Internet in the past decade has radically changed the way people communicate and col- laborate with each other. Physical distance is no more a barrier in online social networks, but cultural differences (at the individual, community, as well as societal levels) still govern human-human interactions and must be con- sidered and leveraged in the online world. The rapid de-ployment of high-speed Internet allows humans to interact using a rich set of multimedia data such as texts, pictures, and videos. This position paper proposes to define a new research area called ’connected multimedia’, which is the study of a collection of research issues of the super-area social media that receive little attention in the literature. By connected multimedia, we mean the study of the social and technical interactions among users, multimedia data, and devices across cultures and explicitly exploiting the cultural differences. We justify why it is necessary to bring attention to this new research area and what benefits of this new research area may bring to the broader scientific research community and the humanity.     

产品开发方案优化的模糊机会约束规划模型及求解

为解决项目网络计划中产品开发方案的时间、成本、质量的不确定优化问题,在模糊机会约束规划的框架下分别建立了基于关键路线的项目周期优化模型、基于资源使用的项目周期-成本优化模型和基于质量功能展开(QFD)的产品周期-质量优化模型,在此基础上构建了项目周期-成本-质量多目标优化模型;在使用模糊模拟技术处理3个目标函数约束的过程中,构建了一个基于遗憾度的适应度函数,然后利用离散微粒群算法对多目标优化模型进行求解.最后,以滚珠丝杆副产品开发项目的方案优化为例验证了文中模型的合理性和算法的有效性;实验结果表明,周期-成本-质量多目标优化模型的求解得到的方案能够取得时间、成本和质量的平衡优化,为产品开发项目的规划提供了定量、可靠的决策依据.     

结合动力学模拟的手绘服装动画生成

手绘服装动画是艺术化绘制风格与服装运动规律的结合体,将手绘风格与服装运动模拟相融合,提出一种高效生成具有手绘效果的服装动画方法.通过手绘图来指定服装动画的艺术效果,并基于逆向动力学原理,采用非线性优化方法从用户输入的手绘图中恢复出服装运动的动力学参数;在此基础上,设计实现了基于广义的中间帧插值方法和结合显式动作数据的外推方法,自动生成用户所期望的、与手绘图风格一致的服装动画序列.实验结果表明,该方法可有效地生成融合服装物理运动属性并保留动画师手绘风格的服装动画,显著提高了手绘服装动画的制作效率.     

表演驱动的矢量化二维表情动画

为了方便快捷生成生动的卡通表情动画,提出将表情数据重定向到卡通形象上的算法.该算法由用户在卡通形象上标记出与表情数据相对应拓扑结构的控制点,以此控制点集合与表情数据首帧控制点集合做比对;使用得到的比例关系将后续表情数据重定向到卡通形象上,从而形成针对卡通形象的表情数据.实验结果表明,运用文中算法可以制作出较为生动形象的卡通表情动画.     

制造资源混合粒度优化组合方案求解技术

为实现对云请求端制造需求的快速响应并提供最理想的制造云,在定义制造云服务(manufacturing cloudservice,MCS)的基础上,提出了MCS混合粒度动态优化组合方法.通过对制造服务需求的解析,将MCS按照粒度从大到小的顺序进行匹配,实现了云池资源的初次过滤;然后构建基于总服务成本、服务质量和交易期的制造云多目标优化数学模型,并引入Epsilon-SPEA2优化算法对该优化问题进行求解,从而快速高效地获得Pareto最优解;采用基于改进优劣解距离(technique for order preference by similarity to an ideal solution,TOPSIS)的动态多属性决策方法对Pareto最优解所代表的互为非支配的MCS组合方案进行评价排序,筛选出最优的MCS组合方案.最后结合某区域模具公司群所能提供的制造服务以及相应历史数据,依据客户需求进行MCS的动态优化组合仿真,验证了文中方法的可行性和实用性.     

图形面板布局特征对人机交互效率的影响

为进一步提高用户与人机界面的交互效率,通过对大量图形用户界面的分析,以图标为基本元素,将图形面板的布局特征分为图标的大小、面板结构、面板方向及面板所处的屏幕位置等,通过2组图标搜索与点击操作实验,考察了图形面板的布局特征与反应时间的关系.研究结果表明:图标越小,面板的长边与短边的比值越大,用户完成搜索与点击操作任务的反应时间就越长;面板位于屏幕上方比面板位于屏幕下方时的反应时间更短,而面板位于屏幕左右两侧时没有显著差异;横向面板比纵向面板的反应时间更短,并且面板的长边与短边的比值越大,横向面板和纵向面板的反应时间差异就越大.