多媒体网络影院的设计与实现

采用Microsoft的DirectShow技术设计实现多媒体网络影院。介绍DirectShow的相关技术及网络影院的实现机理,并给出了其设计和实现过程

Convolutional neural network's image moment regularizing strategy

卷积神经网络的池化策略包含极大池化和平均池化,极大池化选择池化区域中的最大值,极易出现过抑合现象;平均池化对池化区域中所有元素赋予相同权重,降低了高频分量的权重。本文提出将矩池化作为卷积神经网络的正则化策略,矩池化将几何矩概念引入到卷积神经网络的池化过程中,首先计算池化区域的中心矩,然后根据类插值法依概率随机地从中心矩的4个邻域中选择响应值。在数据集MNIST、CIFAR10、CIFAR100上的实验结果表明随着训练迭代次数的增加,矩池化的训练误差和测试误差最低,矩池化的高差别性和强鲁棒性使其获得了比极大池化和平均池化更好的泛化能力。There are two kinds of pooling strategies for convolutional neural network( CNN) as follows: max pooling and average pooling. Max pooling simply chooses the maximum element,which makes this strategy extremely prone to overfitting. Average pooling endows all elements with the same weight,which lowers the weight of the high-frequency components. In this study,we propose moment pooling as a regularization strategy for CNN. First,we introduce the geometric moment to CNN pooling and calculate the central moment of the pooling region. Then,we randomly select the response values based on the probability-like interpolation method from the four neighbors of the moment as per their probability. Experiments on the MNIST,CIFAR10,and CIFAR100 datasets show that moment pooling obtains the fewest training and test errors with training iteration increments. This strategy's robustness and strong discrimination capability yield better generalization results than those from the max and average pooling methods.国家自然科学基金资助项目(61202143,61572409);; 福建省自然科学基金资助项目(2013J05100

Research on Web Application Based on MVC Design Pattern

介绍了MVC设计模式,将MVC设计模式引入Web应用系统中,详细分析了MVC包括的三类对象:模型、视图、控制器,最后将上述思想应用到了一个具体的Web原型系统的设计中,取得了较好的结果.Design mode of MVC is introduced to web application system. Three objects in MVC, which are model,view and controller, are analyzed. Finally, this idea is applied to the design of web archetype system and a good result is obtained.福建省自然科学基金资助项目(A0310009

Image Automatic Annotation Based on Weighted District Space and Vocabulary

图像自动标注是图像检索与图像理解中重要而又极具挑战性的问题.针对现有模型忽略了图像不同区域对图像整体贡献程度的差异性,提出了基于区域空间加权的标注方法,改善了图像的区域特征生成概率估计.此外,针对现有模型未考虑词汇本身重要性以及词汇分布对标注性能的影响,提出了基于词汇固定权值的标注方法、基于平滑词汇频率的标注方法以及基于词汇Tf-Idf加权的标注方法,对词汇的生成概率估计部分进行了改进.综合以上区域空间改进与词汇改进,提出了WdVrM图像标注模型.通过在COrEl数据库进行的实验,验证了WdVrM模型的有效性.Image automatic annotation is a significant and challenging problem in image retrieval and image under-standing.Existing models ignored that different regions of images had different contributions to the overall images.So an annotation method based on weighted district space to improve the generation probability estimation of regional features of the images was proposed.On the other hand,existing model did not take into account the importance of vocabulary as well as vocabulary distribution which impacted the annotation performance.Three methods to overcome the above problems were proposed,including: fixed vocabulary weight method,smooth vocabulary frequency method and weighted vocabulary’s TF-IDF method.These methods can improve the generation probability estimation of vo-cabulary.By integrating all above improved methods of weighted district space and weighted vocabulary,WDVRM image annotation model were proposed.Experiments conducted on Corel datasets have verified that the WDVRM model is quite effective.国家自然科学基金资助项目(60873179;60803078);高等学校博士学科点专项科研基金资助项目(20090121110032);深圳市科技计划基础研究基金资助项目(JC200903180630A

Improvement of AprioriTid Algorithm for Association Rules Based on Hash Technology

发现频繁项集是关联规则挖掘应用的关键,针对采用Apriori类的候选项目集生成-检验方法导致候选项目集产生的代价很高问题,该文提出一种基于散列的快速Apriori Tid改进算法,在Apriori Tid算法的基础上采用基于候选项Lk地址的哈希映射方法,提高了算法的执行效率。Finding frequent itemset is a pivotal technology and stage in association rules mining application. Most studies adopt Apriori-likecandidate set generation-and-test approach, but candidate set generation is still costly. This paper proposes an improved AprioriTid algorithm toimprove the algorithmic executive efficiency, which is based on candidate set Lk address-mapping approach of Hash technology.浙江省湖州市级科技计划基金资助项目“基于统计学的社会性网络行为研究”(2006YZ15

Improved image automatic annotation model based on external databases

针对图像标注中所使用数据集存在的数据不平衡问题,提出一种新的基于外部数据库的自动平衡模型。该模型先依据原始数据库中词频分布来找出低频点,再根据自动平衡模式,对每个低频词,从外部数据库中增加相应的图片;然后对图片进行特征提取,对COrEl5k数据集中的47065个视觉词汇和从外部数据库中追加的图片中提取出来的996个视觉词汇进行聚类;最后利用基于外部数据库的图像自动标注改善模型对图像进行标注。此方法克服了图像标注中数据库存在的不平衡问题,使得至少被正确标注一次的词的数量、精确率和召回率等均明显提高。Concerning the imbalance of the data set used in image annotation,a new self-balancing model based on external database was proposed.Firstly,the low-frequency points were found based on word frequency distribution of the original database,and an appropriate amount of image was added from an external database under the self-balancing mode for each low-frequency word.Secondly,the image features were extracted,and 47 065 visual vocabulary of the original data set and 996 visual words extracted from additional images of external databases were clustered together.Lastly,each image was annotated by the improved image automatic annotation model based on external database.The proposed method overcomes the imbalance in image annotation,making the number of words which can be correctly labeled at least once,precision and recall be increased obviously.国家自然科学基金资助项目(60873179);高等学校博士学科点专项科研基金资助项目(20090121110032);深圳市科技计划基础研究资助项目(JC200903180630A

Adaptive feature selection method for action recognition of human body in RGBD data

目前在RGBD视频的行为识别中,为了提高识别准确率,许多方法采用多特征融合的方式。通过实验分析发现,行为在特定特征上的分类效果好,但是多特征融合; 并不能体现个别特征的分类优势,同时融合后的特征维度很高,时空开销大。为了解决这个问题,提出了; RGBD人体行为识别中的自适应特征选择方法,通过随机森林和信息熵分析人体关节点判别力,以高判别力的人体关节点的数量作为特征选择的标准。通过该数量; 阈值的筛选,选择关节点特征或者关节点相对位置作为行为识别特征。实验结果表明,该方法相比于特征融合的算法,行为识别的准确率有了较大提高,超过了大部; 分算法的识别结果。Many methods adopt the technique of multi-feature fusion to improve the; recognition accuracy of RGBD ideo. Experimental analyses revealed that; the classification effect of certain behavior in some features is good;; however, multi-feature fusion cannot reflect the classification; superiority of certain features. Moreover, multi-feature fusion is; highly dimensional and considerably expensive in terms of time and; space. This research proposes an adaptive feature selection method for; RGBD human-action recognition to solve this problem. First, random; forest and information entropy were used to analyze the judgment ability; of the human joints, whereas the number of human joints with high; judgment ability were chosen as the feature selection criterion. By; screening the threshold number, either the joint feature or the relative; positions of the joints was used as the recognition feature of action.; Experimental results show that compared with multi-feature fusion, the; method significantly improved the accuracy of action recognition and; outperformed most other algorithms.国家自然科学基金项目; 福建省自然科学基金项目; 中医健康管理福建省2011协同创新中心项

Unstructured P2P Information Retrieval Based on the Ant Colony Algorithm

非结构化P2P网络实现简单,是P2P信息共享系统的研究热点,但其存在搜索盲目、检索效率低的不足。针对其存在的问题,本文提出将改进的蚁群算法引入其中,构建了基于蚁群算法的P2P信息检索,使检索总是倾向于有利的方向;同时,有针对性的推荐服务能够减少盲目搜索,进一步提高信息定位效率。仿真结果表明,该系统所采用的信息检索与信息推荐相结合的策略能够有效地提高非结构化P2P信息检索的成功率,降低网络负载。Unstructured P2P systems are inefficient but more popular.This paper presents a new approach to unstructured P2P information retrieval based on the ant colony algorithm and information recommendation services to improve the search efficiency.The ant colony algorithm is used to make routing decisions,and it makes searches turn to the most favorable direction.Besides,information recommendation services reduce blind searches and raise the file-sharing efficiency.In order to evaluate and validate the new algorithm,a simulated experiment is done.The results show that the new searching algorithm has good performance in the search success rate and load balancing.国家自然科学基金资助项目(60373080);福建省自然科学基金资助项目(A0310009

Research on protocols' automatic analysis based on compiler

目前国内变电站综合自动化系统中规约种类繁多,IEC逐步提出的一系列通信规约技术标准制定周期又较长,导致国内变电站综合自动化系统中不同厂家或同一厂家在不同时期内对同一种通信规约的实现有所不同,这给现场维护带来极大不便。针对上述情况,提出了基于编译器的标准规约自动解析思想,并以部颁CdT通信规约为例进行了该思想的设计,在自主设计的变电站综合自动化软件系统中得以实现,有很高的实用价值。At present,in the field of domestic transformer substation synthesis automated system,different factories or same factories in different periods carry out the same standard protocol differently,which lead to revise the procedure for transformer substation protection system even it has been input products with same standard protocol.It brings enormous inconvenience for on-site maintenance.In view of above situation,this paper proposes standard protocol automatically parse method based on the template and compiler,and has carried on two kinds of thoughts,respectively by IEC60870-5-103 and CDT issued by the ministry communication protocol for the example.Moreover,combining IEC60870-5-103 protocol applying for transformer substation synthesis automated software system,it has implemented this idea.After the test,it has a very good utility.福建省科技重点项目(2006H0037

Moving Object Detection for Medical Gait Analysis in Complex Scene

针对医学步态分析中的复杂场景下运动目标检测问题,提出了基于贝叶斯决策规则的方法。该方法由变化检测、变化分类、前景目标提取和背景更新四部分组成。变化检测采用自适应阈值法来二值化变化点和非变化点,变化分类基于颜色共生特征向量,采用贝叶斯规则进行决策,前景对象的提取融合了时间差分法和减背景法。针对复杂场景中背景的"渐变"和"突变"情况,提出了不同的背景更新策略。实验表明,该方法在包含有摇动的树枝,或者灯的开关等复杂背景中能准确地提取运动目标,因此可用在医学步态分析的研究中。This paper proposes a novel method for moving object detection from a video in medical gait analysis which contains not only stationary background objects but also moving background objects. It consists of four parts: change detection, change classification, foreground object abstraction, and background learning and maintenance. We use the Bayes decision rule for classification of background and foreground changes based on a special feature vector--- color co-occurrence feature. Foreground object abstraction fuse the classification results from both stationary and moving pixels. Learning strategies for the gradual and "once-off" background changes are proposed to adapt to various changes in background through the video. Extensive experiments on detecting foreground objects from a video containing waver- ing tree branches, or light open/close demonstrate that the proposed method is effective and can be used in medical gait analysis.福建省科技重点项目资助(项目编号:2006H0037)~