专题会议:基于内容搜索的多媒体索引

M. Brambilla, F. Nucci
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引用次数: 0

摘要

在世界范围内,存储的信息量呈指数级增长,视听内容所占的份额越来越大。这些内容推动了对新服务的需求,使视听搜索成为当今组织和企业面临的主要挑战之一。数字数据是许多组织拥有的最大价值,而使用它的能力,而不仅仅是存储它,将是未来十年最重要的战略方面之一。在这种情况下,一些研究工作集中于研究高级搜索架构,以使消费者、企业和组织能够通过创新的访问范式释放在视听内容中发现的价值。特别是,当前研究的重点是管理和访问所有类型的信息源,支持先进的视听处理和内容处理,这将增强价值链中所有用户对多媒体的控制、创建和共享。由欧盟委员会资助的几个研究项目从不同的角度解决了这个问题,并为未来提供了不同的愿景。这将在中长期内对视听行业产生影响,使公司能够提供更有效和高效的内容访问,这要归功于创新的注释技术和搜索范例。这次CBMI特别会议是在PHAROS项目1的支持下组织的,目的是概述欧洲层面的研究计划,这些研究计划解决了搜索应用程序中与处理、注释、索引和提供内容相关的问题。会议包括九篇同行评议的文章,在本卷中报道,并邀请演讲。本次特约演讲由意大利米兰理工大学的Stefano Ceri教授发表,他将对搜索计算这一主题进行富有远见的讨论,这是一门新颖的多学科科学,它将提供回答跨域搜索查询所需的抽象、基础、方法和工具,这是由EC IST第六框架资助的1 PHAROS(跨在线空间搜索视听资源平台)综合项目(IST-2005-2.6.3)无法解决的问题。当前的搜索引擎。多域查询的一个典型例子是“我在哪里可以参加一个有趣的信息检索会议,靠近阳光明媚的海滩,有直达欧洲的航班,并且有一个又好又便宜的酒店住宿?”该问题的普遍性使其与信息检索界的关系极为密切,并对多媒体内容标注和索引领域提出了新的挑战。搜索计算项目目前由ERC在IDEAS高级资助计划下资助。会议的其他贡献包括Daras和Axenopoulos的工作,他们提出了一种新的基于视图的3D对象检索方法,该方法利用从3D对象自动生成一组2D图像来计算两个3D模型之间的全局形状相似性,可以支持多模态查询。Bozzon、Brambilla和Fraternali的工作讨论了使用模型驱动的方法来指定多媒体索引过程,验证这些过程中感兴趣的属性,并生成编排组件的代码,以便在不断变化的需求中实现内容分析过程的快速原型。Zidouni, Quafafou和Glotin专注于音频转录中结构在命名实体检索中的作用。他们利用这些信息,通过条件随机场(CRFs)提取,推断出概念(命名实体)空间的最佳层次结构,这些概念(命名实体)由节点或层次结构中的任何子路径表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Special Session: Multimedia Indexing for Content Based Search
Worldwide, the volume of stored information is growing exponentially, and an increasing share is audiovisual content. This content drives the demand for new services, making audiovisual search one of the major challenges for organisations and businesses today. Digital data is the greatest value that many organisations possess, and the ability to use it, rather than just store it, will be one of the most important strategic aspects in the coming decade. In this scenario, several research efforts focused on studying advanced search architectures for enabling consumers, businesses, and organisations to unlock the values found in audiovisual content through innovative access paradigms. In particular, the focus of current researches is on managing and enabling access to information sources of all types, supporting advanced audiovisual processing and content handling that will enhance control, creation, and sharing of multimedia for all users in the value chain. Several research projects financed by the European Commission tackle this problem from different perspectives and provide diverse visions for the future. This will impact in the mid-long term on audiovisual industry, allowing companies to provide more effective and efficient access to contents thanks to innovative annotation techniques and search paradigms. The aim of this CBMI special session, organized with the support of the PHAROS project 1 , is to offer an overview of the research initiatives at European level that address the problems related to processing, annotation, indexing, and provisioning of contents within search applications. The session includes nine peer-reviewed contributions, reported in this volume, and an invited speech. The invited speech, given by professor Stefano Ceri, from Politecnico di Milano, Italy, will deliver a visionary discussion on the topic of Search Computing, a novel multi-disciplinary science which will provide the abstractions, foundations, methods, and tools required to answer cross-domain search queries, that cannot be addressed by 1 PHAROS (Platform for searcHing of Audiovisual Resources across Online Spaces) Integrated Project (IST-2005-2.6.3) financed by the EC IST 6th Framework. current search engines. A typical example of multi-domain query is “Where can I attend an interesting Information Retrieval conference close to a sunny beach, with direct flight connection to Europe and having a nice and cheap hotel accomodation?”. The generality of the problem makes it extremely relevant for the information retrieval community and poses additional challenges to the field of multimedia content annotation and indexing. The Search Computing project is currently financed by the ERC under the IDEAS Advanced Grants programme. The other contributions to the session include a work by Daras and Axenopoulos, that present a novel view-based approach for 3D object retrieval, that exploits automatic generation of a set of 2D images from a 3D object for calculating a global shape similarity between two 3D models that can support multimodal queries. The work by Bozzon, Brambilla, and Fraternali discusses the use of a model-driven approach for specifying multimedia indexing processes, verifying properties of interest in such processes, and generating the code that orchestrates the components, so as to enable rapid prototyping of content analysis processes in presence of evolving requirements. Zidouni, Quafafou, and Glotin focus on the role of structures in named entity retrieval inside audio transcription. They exploit this information, extracted through Conditional Random Fields (CRFs), for deducing an optimal hierarchical structure of the space of concepts(named entities), which are represented by nodes or any sub-paths in the hierarchy.
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