III: Small: Issues in the Management of GeoMultimedia Data

III：小：地理多媒体数据管理中的问题

• 批准号: 1219023
• 负责人: Hanan Samet
• 金额: $ 49.97万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1219023&HistoricalAwards=false
• 关键词: III; Small; Issues; Management; GeoMultimedia

The growth of the Internet has led to a dramatic increase in the rate at which information is generated and delivered. This is especially true for the news cycle which has become instantaneous and often resulting in social networks, most notably Twitter, being the medium of choice to deliver late breaking news. This is usually in the form of links to more details which include news articles and multimedia data (news photos and videos). One problem lies in identifying reliable news gatherers which is done by noting if they are the first to report on a topic in contrast to being a re-poster and their frequency. Other issues in providing access to news content involve making the news automatically indexable (instead of by human tagging) both by content (regardless of the language of creation and the nature of the media) and by the location of the content (i.e., geotagging) rather than the location or affiliation of its creator. In the case of location, the challenge lies in devising language-independent geotagging techniques. Machine learning based methods are investigated and are expected to work better than rule-based methods due to a reduced reliance on language-specific rules and a greater reliance on examples. Access to the images is facilitated by indexing them by the words associated with the news articles containing them. This indexing technique is meant to be used as a filter for finding similar or near-duplicate images where the similarity is based on image features. The access by location is facilitated by the use of a map query interface. This is important as it corresponds to enabling the use of spatial synonyms thereby permitting a wider range of queries to be posed. A novel aspect of the research is the incorporation of non-English content which is facilitated by the use of computerized translation services which will be evaluated on their ability to capture the content on the basis of clustering similar articles in different languages rather than on the basis of factors such as proper grammar, etc. In today's rapidly changing world, the tools that are developed in this project will make this information more accessible as users are enabled to focus on a geographical area of interest as well as have access to content in their own language. This is of utility to a number of organizations and attempts will be made to collaborate with potential users on tailoring the tools for their needs. In addition, the project will provide research experience to undergraduate and graduate students who will be involved in developing some of the components. These tools are also a step in the growth of the nascent field of computational journalism. The project web site (http://www.cs.umd.edu/~hjs/geomultimedia.html ) will provide access to results of this and related research.

互联网的发展导致信息生成和传递的速度急剧增加。对于新闻周期来说尤其如此，新闻周期已经变得即时，并且经常导致社交网络，最明显的是Twitter，成为提供最新突发新闻的首选媒介。这通常是以链接的形式提供更多的细节，包括新闻文章和多媒体数据（新闻照片和视频）。一个问题在于识别可靠的新闻收集者，这是通过注意他们是否是第一个报道某个主题的人，而不是转发者及其频率来完成的。提供对新闻内容的访问的其他问题涉及使新闻可按内容（不管创建的语言和媒体的性质）和按内容的位置（即，地理标记）而不是其创建者的位置或从属关系。就位置而言，挑战在于设计独立于语言的地理标记技术。基于机器学习的方法进行了研究，预计将工作得比基于规则的方法更好，因为减少了对特定语言规则的依赖，并更依赖于示例。通过按与包含图像的新闻文章相关联的词对图像进行索引来促进对图像的访问。这种索引技术旨在用作过滤器，用于查找相似或近似重复的图像，其中相似性基于图像特征。通过使用地图查询接口来促进按位置的访问。这一点很重要，因为它对应于启用空间同义词的使用，从而允许提出更广泛的查询。研究的一个新方面是纳入非英语内容，这是通过使用计算机翻译服务来促进的，计算机翻译服务将根据其捕获内容的能力进行评估，其基础是将不同语言的类似文章聚类，而不是基于适当的语法等因素。该项目开发的工具将使用户更容易获得这一信息，因为用户能够关注感兴趣的地理区域，并能够获得以自己的语言提供的内容。这对一些组织很有用，将努力与潜在用户合作，根据他们的需要调整工具。此外，该项目还将为参与开发某些组件的本科生和研究生提供研究经验。这些工具也是新兴的计算新闻领域发展的一个步骤。该项目的网站（www.cs.umd.edu/~hjs/geomultimedia.html）将提供这一研究和相关研究的结果。