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Unified Concept-based Multimedia Information Retrieval Technique

机译：基于统一的概念的多媒体信息检索技术

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摘要

The explosion of digital data in the last two decades followed by the development of various types of data, including text, images, audio and video known as multimedia data. Multimedia Information Retrieval is required to search various type of media. There is comprehensive information need that can not be handled by the monolithic search engine like Google, Google Image, Youtube, or FindSounds. The shortcoming of search engine today related to their format or media is the dominance of text format, while the expected information could be an image, audio or video. Hence it is necessary to present multimedia format at the same time. This paper tries to design Unified Concept-based Multimedia Information Retrieval (UCpBMIR) technique to tackle those difficulties by using unified multimedia indexing. The indexing technique transforms the various of media with their features into text representation with the concept-based algorithm and put it into the concept detector. Learning model configures the concept detector to classify the multimedia object. The result of the concept detector process is placed in unified multimedia index database and waiting for the concept-based query to be matched into the Semantic Similarities with ontology. The ontology will provide the relationship between object representation of multimedia data. Due to indexing text, image, audio, and video respectively that naturally, they are heterogeneous, but conceptually they may have the relationship among them. From the preliminary result that multimedia document retrieved can be obtained through single query any format in order to retrieve all kind of multimedia format. Unified multimedia indexing technique with ontology will unify each format of multimedia.
机译：在过去的二十年中，数字数据的爆炸之后是开发各种类型的数据，包括称为多媒体数据的文本，图像，音频和视频。多媒体信息检索是搜索各种类型的媒体所必需的。有全面的信息需要，不能由Google，Google Image，YouTube或FindSound等单片搜索引擎处理。今天搜索引擎的缺点与他们的格式或媒体有关是文本格式的主导地位，而预期信息可以是图像，音频或视频。因此，有必要同时呈现多媒体格式。本文试图设计统一的基于概念的多媒体信息检索（UCPBMIR）技术，通过使用统一的多媒体索引来解决这些困难。索引技术将各种媒体与其功能转换为与基于概念的算法的文本表示，并将其放入概念检测器中。学习模型配置概念探测器以对多媒体对象进行分类。概念探测器过程的结果被放置在统一的多媒体索引数据库中，并等待基于概念的查询与本体的语义相似之处匹配。本体将提供多媒体数据对象表示之间的关系。由于分别索引了文本，图像，音频和视频，它们是异构的，但概念上它们可能会有它们之间的关系。从初步结果可以通过单一查询获取多媒体文档来获取任何格式，以便检索所有类型的多媒体格式。统一的多媒体索引技术具有本体论将统一多媒体的每种格式。

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