Hierarchical Summarisation of Video Using Ant-Tree Strategy

T. Piatrik, E. Izquierdo
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引用次数: 3

Abstract

Video summarisation approaches have various fields of application, specifically related to organising, browsing and accessing large video databases. In this paper, the appropriateness of biologically inspired models to tackle these problems is discussed and suitable strategy for unsupervised video summarisation is derived. In our proposal, we model the ability of ants to build live structures with their bodies in order to discover, in a distributed and unsupervised way, a tree-structured organization and summarisation of the video data. An experimental evaluation validating the feasibility and the robustness of this novel approach is presented.
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基于蚁树策略的视频分层摘要
视频摘要方法具有多种应用领域,特别是与组织、浏览和访问大型视频数据库有关。在本文中,讨论了生物学启发模型解决这些问题的适当性,并推导了适合无监督视频摘要的策略。在我们的提案中,我们模拟了蚂蚁用它们的身体建造活结构的能力,以便以一种分布式和无监督的方式发现视频数据的树状结构组织和摘要。实验结果验证了该方法的可行性和鲁棒性。
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