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Apparatus and methods for semantic representation and retrieval of multimedia content

机译:用于多媒体内容的语义表示和检索的设备和方法

摘要

An apparatus and method for analyzing multimedia content to identify the presence of audio, visual and textual cues that together correspond to one or more high-level semantics are provided. The apparatus and method make use of one or more analysis models that are trained to analyze audio, visual and textual portions of multimedia content to generate scores associated with the audio, visual and textual portions with respect to various high-level semantic concepts. These scores are used to generate a vector of scores. The apparatus is trained with regard to relationships between audio, visual and textual scores to thereby take the vector of scores generated for the multimedia content and classify the multimedia content into one or more high-level semantic concepts. Based on the scores for the various audio, video and textual portions of the multimedia content, a level of certainty regarding the high-level semantic concepts may be generated. These high-level semantic concepts are then used to generate one or more labels for the multimedia content that may be used to retrieve the multimedia content using a conceptual search engine. These semantic concept labels and their associated certainty levels may be stored in a file, associated with the multimedia content, for use in retrieving the multimedia content using the conceptual search engine.
机译:提供了一种用于分析多媒体内容以识别音频,视觉和文本提示的存在的设备和方法,所述音频,视觉和文本提示共同对应于一个或多个高级语义。所述装置和方法利用经训练以分析多媒体内容的音频,视觉和文本部分的一个或多个分析模型,以针对各种高级语义概念生成与音频,视觉和文本部分相关联的分数。这些分数用于生成分数向量。就音频,视觉和文本得分之间的关​​系对设备进行训练,从而获取为多媒体内容生成的得分向量,并将多媒体内容分类为一个或多个高级语义概念。基于多媒体内容的各个音频,视频和文本部分的分数,可以生成有关高级语义概念的确定性级别。然后,这些高级语义概念用于为多媒体内容生成一个或多个标签,这些标签可用于使用概念搜索引擎检索多媒体内容。这些语义概念标签及其相关的确定性级别可以存储在与多媒体内容相关联的文件中,以用于使用概念搜索引擎检索多媒体内容。

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