VIAN: A Visual Annotation Tool for Film Analysis

While color plays a fundamental role in film design and production, existing solutions for film analysis in the digital humanities address perceptual and spatial color information only tangentially. We introduce VIAN, a visual film annotation system centered on the semantic aspects of film color analysis. The tool enables expert‐assessed labeling, curation, visualization and Classification of color features based on their perceived context and aesthetic quality. It is the first of its kind that incorporates foreground‐background information made possible by modern deep learning segmentation methods. The proposed tool seamlessly integrates a multimedia data management system, so that films can undergo a full color‐oriented analysis pipeline.     

LabelMe: A Database and Web-Based Tool for Image Annotation

We seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and quantitative evaluation. To achieve this, we developed a web-based tool that allows easy image annotation and instant sharing of such annotations. Using this annotation tool, we have collected a large dataset that spans many object categories, often containing multiple instances over a wide variety of images. We quantify the contents of the dataset and compare against existing state of the art datasets used for object recognition and detection. Also, we show how to extend the dataset to automatically enhance object labels with WordNet, discover object parts, recover a depth ordering of objects in a scene, and increase the number of labels using minimal user supervision and images from the web. The first two authors (B.C. Russell and A. Torralba) contributed equally to this work.     

Annotation of semantic roles for the Turkish Proposition Bank

In this work, we report large-scale semantic role annotation of arguments in the Turkish dependency treebank, and present the first comprehensive Turkish semantic role labeling (SRL) resource: Turkish Proposition Bank (PropBank). We present our annotation workflow that harnesses crowd intelligence, and discuss the procedures for ensuring annotation consistency and quality control. Our discussion focuses on syntactic variations in realization of predicate-argument structures, and the large lexicon problem caused by complex derivational morphology. We describe our approach that exploits framesets of root verbs to abstract away from syntax and increase self-consistency of the Turkish PropBank. The issues that arise in the annotation of verbs derived via valency changing morphemes, verbal nominals, and nominal verbs are explored, and evaluation results for inter-annotator agreement are provided. Furthermore, semantic layer described here is aligned with universal dependency (UD) compliant treebank and released to enable more researchers to work on the problem. Finally, we use PropBank to establish a baseline score of 79.10 F1 for Turkish SRL using the mate-tool (an open-source SRL tool based on supervised machine learning) enhanced with basic morphological features. Turkish PropBank and the extended SRL system are made publicly available.     

Evaluation of a Geospatial Annotation Tool for Unmanned Vehicle Specialist Interface

Map-based interfaces have been developed to support collaborative control of unmanned vehicles (i.e., robots). Annotation on the map (or geospatial annotation) has been proposed as an effective way to support team collaboration; however, there is a lack of research focused on the design of geospatial annotation tools to promote usability and task performance. The utility of location reference in geospatial annotations for communication and information sharing is the focus of this article. Two annotation tool designs were developed. The annotation contents were directly anchored on the map in the first design, whereas in the second design annotations were summarized in a separate panel on the interface. Evaluation participants followed instructions from a simulated team leader and assigned unmanned vehicles to different tasks for two simulated scenarios that include searching for victims and collecting hazardous materials samples. The results demonstrate the potential of using geospatial annotations to enrich communication and support map-based unmanned vehicle control. Participants appreciated the direct location reference feature of the first design and had generally shorter response time, but felt that the second design provided better usability and lower task workload. These results suggest that the user experience depends on the manner of obtaining information from the annotation tools, and the integration of the tool with user's task flow and other interface components, such as the map display. The presented results can be used as a basis for designing geospatial annotation tools for team collaboration that better fit user needs and preferences.     

一种Java语言图形编程工具的设计与实现

提出一种用于Java语言的图形编程工具的设计方法.它基于元建模机制设计图形编程语言,采用模型-视图-控制器(MVC)构架模式实现图形编辑器,并设计代码转换器完成从图形代码到对应文本代码的等价转换.通过在机器人编程游戏中的实际使用,证明其满足实际需要,大大提高图形编程语言的设计效率,增强了图形编辑器的可维护性与可复用性.这种设计方法也可以用来设计其他语言的图形编程工具.     

面向儿童的图形化编程语言和工具

针对现有的面向儿童的编程工具在图形化表示、交互设计等方面存在的不足,以及没有专门面向中国儿童的编程工具的问题,提出一种面向儿童的图形化编程范式和图形语言的描述方式,设计实现了适合8～14岁中国儿童使用的图形化编程语言和编程工具.以儿童用户的特点为核心,设计了10类图形化编程块,从逻辑层、物理层和数据接口层对编程块的属性进行多元组描述;根据图形化编程块的形状语义和功能定义图形化编程语言的语法规则,采用笔式交互技术为儿童设计实现了一个简单易用的编程工具,最后通过2个实例并结合初步用户评估实验,验证了该图形化编程工具的可用性.     

基于笔交互的标注工具研究

随着电子文档的大量应用,人们需要寻找一种更加符合日常习惯的电子文档标注工具。该文介绍了一种基于笔交互的标注工具,用户可以在电子文档上使用笔进行任意标注。工具使用XML作为存储媒介,可以方便地将标注结果共享和再现。     

An Architecture-Independent Graphical Tool for Automatic Contention-Free Process-to-Processor Mapping

Mapping of parallel programs onto parallel computers for efficient execution is a fundamental problem of great significance in parallel processing. This paper presents an architecture-independent software tool for contention-free mapping of arbitrary parallel programs onto parallel computers with arbitrary configurations. This mapping tool is based on an efficient heuristic algorithm that runs in time O(n ³+m ⁴) in the worst case for mapping n tasks onto m processors, where m n in most practical cases. It is fully implemented and incorporated into a graph editing system to produce a graphical mapping tool which enables its user to monitor and control the mapping process. The user can assist the mapping process or employ the algorithm to map automatically. Our mapping tool has been tested and its performance evaluated extensively. Experimental results show that our tool combines user intuition and mapping heuristics effectively to make it a powerful mapping tool which is practical to use. Our mapping tool can be easily extended for use in the more general case when the link contention-degree is bounded to a fixed system-specified value without increasing its complexity.     

Graphical methods for investigating the finite-sample properties of confidence regions

No satisfactory method for measuring and presenting the performance of confidence regions can be found in the literature. Techniques for measuring the effectiveness of confidence regions and for the graphical display of simulation evidence regarding the coverage and effectiveness of confidence regions are developed and illustrated. Three types of figures are discussed: called coverage plots, coverage discrepancy plots, and coverage effectiveness curves, which makes it possible to show the “genuine” effectiveness, rather than a spurious nominal effectiveness. These figures are used to illustrate the finite sample properties of autoregressive parameter confidence regions in the context of AR(1) processes.     

嵌入式装置图形化编程工具软件设计与应用

嵌入式图形编程工具软件采用组件化设计,以图形化、层次化、面向对象的编程方式组织整个装置的程序结构。该软件主要包括符号库编辑组件、资源管理器组件、图形编辑组件、代码生成组件、编译链接等组件。介绍了相关组件的设计要点,提出了基于可扩展属性的符号库建模方法、类lEC61131－3标准的层次结构数据模型、基于MVC模型的图形编辑器、基于改进AOV网拓扑排序的代码生成方法、基于可配置模板的Makefile形成方法。基于该软件开发的程序已经在电力系统保护控制装置中应用,实践表明图形化编程工具软件能形成高效紧凑的代码,符合程序运行效率的要求,提高了装置开发集成效率。     

GAT: Platform for automatic context-aware mobile services for m-tourism

Despite the recent advances in mobile tourism systems, most of the wayfinding applications have still to deal with some problems: a huge amount of tourist information to manage, guidance for indoor and outdoor environments, and the need of users to have programming knowledge about many mobile phone platforms. In this study, we propose the GAT platform to overcome these problems. In GAT, users are able to generate wayfinding applications for indoor and outdoor environments through a web form without the need for programming skills, assisted by a system of automatic generation and update of points of interest.     

Image categorization using a semantic hierarchy model with sparse set of salient regions

Image categorization in massive image database is an important problem. This paper proposes an approach for image categorization, using sparse set of salient semantic information and hierarchy semantic label tree （HSLT） model. First, to provide more critical image semantics, the proposed sparse set of salient regions only at the focuses of visual attention instead of the entire scene was formed by our proposed saliency detection model with incorporating low and high level feature and Shotton＇s semantic texton forests （STFs） method. Second, we also propose a new HSLT model in terms of the sparse regional semantic information to automatically build a semantic image hierarchy, which explicitly encodes a general to specific image relationship. And last, we archived image dataset using image hierarchical semantic, which is help to improve the performance of image organizing and browsing. Extension experimefital results showed that the use of semantic hierarchies as a hierarchical organizing frame- work provides a better image annotation and organization, improves the accuracy and reduces human＇s effort.     

Image categorization using a semantic hierarchy model with sparse set of salient regions

Image categorization in massive image database is an important problem. This paper proposes an approach for image categorization, using sparse set of salient semantic information and hierarchy semantic label tree (HSLT) model. First, to provide more critical image semantics, the proposed sparse set of salient regions only at the focuses of visual attention instead of the entire scene was formed by our proposed saliency detection model with incorporating low and high level feature and Shotton’s semantic texton forests (STFs) method. Second, we also propose a new HSLT model in terms of the sparse regional semantic information to automatically build a semantic image hierarchy, which explicitly encodes a general to specific image relationship. And last, we archived image dataset using image hierarchical semantic, which is help to improve the performance of image organizing and browsing. Extension experimental results showed that the use of semantic hierarchies as a hierarchical organizing framework provides a better image annotation and organization, improves the accuracy and reduces human’s effort.     

一种确定PID参数稳定域的图解法

针对带滞后因子的一阶惯性环节的PID控制器,给出确定其参数稳定域的一种图解方法．基于参数空间的图解稳定性准则,在已知比例增益范围的前提下,针对稳定和不稳定开环对象,直接在积分-微分参数空间绘制和确定稳定区域,避免了复杂的数学计算．该图解稳定性准则给出闭环稳定的一个充分必要条件,所得结果没有任何保守性．此方法也可用来求解系统的相对稳定度问题和应用于其他任意给定被控对象．     

基于页面流可视化图形工具的研究与实现

在页面流中经常需要相应的配置文件和一些java类,而这些若采用手工编写会浪费很多人力。基于页面流可视化图形工具即在Eclipse平台上开发的页面流插件,插件本身即为一个图形编辑器,并采用GEF框架技术在编辑器中达到图形拖动的目的,以可视化的方式绘制Web组件间的关系。生成的页面流插件配置文件信息,提升用户可视化的体验。     

A Graphical Tool for Describing the Temporal Evolution of Clusters in Financial Stock Markets

We propose a methodology for clustering financial time series of stocks’ returns, and a graphical set-up to quantify and visualise the evolution of these clusters through time. The proposed graphical representation allows for the application of well known algorithms for solving classical combinatorial graph problems, which can be interpreted as problems relevant to portfolio design and investment strategies. We illustrate this graph representation of the evolution of clusters in time and its use on real data from the Madrid Stock Exchange market.     

AMPN: a semantic resource for Arabic morphological patterns

In this paper, we present a pilot Arabic morphological Pattern Net study based on a lexical semantic resource. During this study, a limited number of Arabic Morphological Patterns have been selected in order to analyze the structure and the behavior of the verbs in the Arabic PropBank, which is a semantically annotated corpus of newswire text from the Annahar Journal. Our goal is twofold: (a) to study whether there is a direct relationship between morphological patterns and verbal semantic roles; and, (b) to verify that this direct relationship is a pervasive component of Arabic verb morphology. The approach to building our morphological Patterns database is based on linguistic generalization of the semantic roles of the verbal predicates. The results obtained show promising outcome for a future, more comprehensive study.