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Video summarisation: A conceptual framework and survey of the state of the art

机译:视频摘要:概念框架和最新技术概述

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摘要

Video summaries provide condensed and succinct representations of the content of a video stream through a combination of still images, video segments, graphical representations and textual descriptors. This paper presents a conceptual framework for video summarisation derived from the research literature and used as a means for surveying the research literature. The framework distinguishes between video summarisation techniques (the methods used to process content from a source video stream to achieve a summarisation of that stream) and video summaries (outputs of video summarisation techniques). Video summarisation techniques are considered within three broad categories: internal (analyse information sourced directly from the video stream), external (analyse information not sourced directly from the video stream) and hybrid (analyse a combination of internal and external information). Video summaries are considered as a function of the type of content they are derived from (object, event, perception or feature based) and the functionality offered to the user for their consumption (interactive or static, personalised or generic). It is argued that video summarisation would benefit from greater incorporation of external information, particularly user based information that is unobtrusively sourced, in order to overcome longstanding challenges such as the semantic gap and providing video summaries that have greater relevance to individual users.
机译:视频摘要通过静止图像,视频段,图形表示和文本描述符的组合,提供了视频流内容的简明表示。本文提出了一种来自研究文献的视频摘要的概念框架,并用作调查研究文献的手段。该框架区分了视频摘要技术(用于处理源视频流中的内容以实现该流摘要的方法)和视频摘要(视频摘要技术的输出)。视频摘要技术可分为三大类:内部(直接从视频流获得的分析信息),外部(不是直接从视频流获得的分析信息)和混合(内部和外部信息的组合)。视频摘要被认为是它们所源自的内容类型(基于对象,事件,感知或特征)和提供给用户以供其消费的功能(交互式或静态,个性化或通用)的函数。有观点认为,视频摘要将受益于外部信息的更多结合,特别是来自非干扰源的基于用户的信息,从而克服了诸如语义鸿沟之类的长期挑战,并提供了与各个用户相关性更高的视频摘要。

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