Combining appearance and motion for face and gender recognition from videos

While many works consider moving faces only as collections of frames and apply still image-based methods, recent developments indicate that excellent results can be obtained using texture-based spatiotemporal representations for describing and analyzing faces in videos. Inspired by the psychophysical findings which state that facial movements can provide valuable information to face analysis, and also by our recent success in using LBP (local binary patterns) for combining appearance and motion for dynamic texture analysis, this paper investigates the combination of facial appearance (the shape of the face) and motion (the way a person is talking and moving his/her facial features) for face analysis in videos. We propose and study an approach for spatiotemporal face and gender recognition from videos using an extended set of volume LBP features and a boosting scheme. We experiment with several publicly available video face databases and consider different benchmark methods for comparison. Our extensive experimental analysis clearly assesses the promising performance of the LBP-based spatiotemporal representations for describing and analyzing faces in videos.     

Design patterns for user interface for mobile applications

The topic of this paper is a collection of user interface (UI) design patterns for mobile applications. In the paper we present the structure of the patterns collection – the patterns are suggested solutions to problems that are grouped into a set of problem areas that are further grouped into three main problem areas – a structure which is valuable both as an index to identifying patterns to use, and it gives a fairly comprehensive overview of issues when designing user interfaces for mobile applications. To show the breadth of the patterns collection we present six individual problems with connected design patterns in some detail – each coming from different problem areas. They represent important and relevant problems, and are on different levels of abstraction, thus showing how patterns may be used to present problems and solutions on different levels of detail. To show the relevance and usefulness of the patterns collection for usability professionals with a mixed background, we present some relevant findings from a validation of the patterns collection. In addition to verifying the relevance and usefulness of the patterns collection, it also shows both expected and surprising correlations between background and perceived relevance and usefulness. One important finding from the validation is an indication that the patterns collection is best suited for experienced UI developers wanting to start developing mobile UIs. Using a patterns collection for documenting design knowledge and experience has been a mixed experience, so we discuss pros and cons of this. Finally, we present related work and future research.     

县级尺度农村居民点景观格局时空分异研究——以徐州市睢宁县为例

以TM/ETM＋影像为基础数据源,基于3S技术及景观分析软件Fragstats对1995-2005年徐州市睢宁县的农村居民点景观格局进行动态分析,并使用马尔科夫模型对睢宁县2010年农村居民点景观格局进行预测。结果表明：1995-2010年徐州市睢宁县的农村居民点景观格局呈破碎化趋势,土地利用斑块数增加,斑块平均面积下降,面积加权平均形状指数上升,平均分维度小幅上升,散布与并列指数和香农多样性指数均在下降。随着城镇扩展、农田开发等人类干扰的不断加剧,景观生态环境保护与经济开发之间的矛盾将愈加突出。     

微博用户的时间行为研究

人类日常行为活动在生活的各个方面普遍存在。个体行为活动类型多样且个体之间行为差异明显,人类行为显示出高度复杂性。利用微博用户发布微博所产生的时间数据来研究用户的时间行为模式,研究发现个体用户时间间隔的统计特征主要服从幂律、指数和双模3种分布函数;并提出了基于任务队列的个体用户行为动力学模型,解释了用户发布微博的时间间隔分布特征。     

Discovery of stop regions for understanding repeat travel behaviors of moving objects

GPS trajectory dataset with high sampling-rates is usually in large volume that challenges the processing efficiency. Most of the data points on trajectories are useless. This paper summarizes trajectories using stop points. We define a new concept of stay stability (i.e., time dividing distance or reciprocal of speed) between any two GPS points to detect stop points on individual trajectories. We propose a novel Mining Repeat Travel Behaviors Using Stop Regions (MRTBUSR) method. In MRTBUSR, a stop region is a popular region containing a certain number of close stop points that can be grouped into a cluster. We then retrieve common sequences of stop regions to denote repeat route patterns and further analyze the stop durations on a stop region to find repeat travel behaviors. The experiments on 20 labeled trajectories selected from GeoLife demonstrated the semantic effect, accuracy and near linear efficiency of our proposed method.     

谈话节目语料库的构建与会话结构分析

口语语料库的建设是口语研究的基础工作,该文选择具有代表性的交谈式谈话节目《锵锵三人行》和对谈式谈话节目《鲁豫有约》作为语料,建立了一个小型的谈话节目语料库,并构建了包含五大类16小类的会话结构标注体系,对语料进行了会话结构的标注。统计得到打断结构309例,插入结构141例,重复结构111例,问答结构653/589例,阻碍—修正结构51/21例,反映了会话结构在数量上的不均衡分布,节目的形式、性质以及交际任务是会话结构分布的主要影响因素。会话结构组合具有模式性,该文使用Trigram方法对其组合情况进行了分析,发现语料中的高频组合是问答毗邻对,此外有大量的非毗邻性组合。会话结构组合模式不但反映出谈话节目的风格特点,还有助于分析会话中的功能性模块、会话策略的形成,进而更加深入地了解会话的运作机制。     

软件设计模式课程实验教学系统探索

设计模式是软件工程专业的重要核心课程,兼具理论性和实践性,但其高度的抽象性给学生学习带来较大困难.针对该课程及学生的认知特点,设计开发了一个基于Spring框架的设计模式实验教学系统-在线教务管理平台,该系统采用B/S架构,综合了多种常用设计模式,不仅展示了单个设计模式的特点,同时展示了这些设计模式在实际项目开发中的复合应用,有助于学生加深设计模式方法学理论精髓的理解,提高实践动手能力,从而为进一步掌握高级软件工程知识奠定基础.     

基于SAHP和需求模式的需求优先级排序方法

针对当前需求优先级排序方法中,将用户需求放在同一层次上进行比较,设定优先级,而对需求层次性考虑得不多。从系统的整体性和需求的层次性出发,提出以解释结构模型和层次分析法相结合的需求优先级排序方法,其中用解释结构模型对需求进行结构分析和分层处理,对最上层的需求使用层次分析法进行需求优先级排序,将该方法命名为SAHP。在案例分析中,借助需求模式,对推广后的案例进行优先级排序,来说明该方法具有很好的通用性,给出案例分析和与AHP进行了比较。结果表明性能总体上好于AHP方法,该方法能够提高需求优先级设定的合理性,降低因需求导致项目失败的风险。     

Multi-camera calibration based on an invariant pattern

In this paper we present a method for the calibration of multiple cameras based on the extraction and use of the physical characteristics of a one-dimensional invariant pattern which is defined by four collinear markers. The advantages of this kind of pattern stand out in two key steps of the calibration process. In the initial step of camera calibration methods, related to sample points capture, the proposed method takes advantage of using a new technique for the capture and recognition of a robust sample of projective invariant patterns, which allows to capture simultaneously more than one invariant pattern in the tracking area and recognize each pattern individually as well as each marker that composes them. This process is executed in real time while capturing our sample of calibration points in the cameras of our system. This new feature allows to capture a more numerous and robust set of sample points than other patterns used for multi-camera calibration methods. In the last step of the calibration process, related to camera parameters' optimization, we explore the collinearity feature of the invariant pattern and add this feature in the camera parameters optimization model. This approach obtains better results in the computation of camera parameters. We present the results obtained with the calibration of two multi-camera systems using the proposed method and compare them with other methods from the literature.     

Development and application of a simulation model for changes in land-use patterns under drought scenarios

In arid and semiarid areas of northern China, one of the most vulnerable regional environments, water resources are a key constraint on socioeconomic development. We constructed a simulation model for land-use patterns under a drought transition (i.e., the increased frequency and duration of drought since the late 1970s in the Yongding River Basin study area) to account for the complexity of both the driving factors behind land-use change and the micro-level changes in land-use patterns. This model was a combination of the “top-down” system dynamics model, the “bottom-up” cellular automaton model, and the artificial neural network model. In this model, we considered the socioeconomic development and water resource restrictions, as well as the balance between the land-use requirements and the land supply. We then verified the model through a case study. The results demonstrated the value of constructing a simulation model driven by water resource constraints under the influence of drought. The spatial distribution of land uses in future scenarios will help support decision-making for sustainable regional development.