Hierarchical Summarisation of Video Using Ant-Tree Strategy

Author

Piatrik, Tomas ; Izquierdo, Ebroul

Author_Institution

Multimedia & Vision Res. Group, Queen Mary, Univ. of London, London, UK

fYear

2009

fDate

3-5 June 2009

Firstpage

107

Lastpage

112

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.

Keywords

trees (mathematics); video databases; ant-tree strategy; hierarchical summarisation; large video database; video summarisation; Biological system modeling; Indexing; Layout; Motion analysis; Multimedia communication; Multimedia databases; Multimedia systems; Proposals; Robustness; Video on demand; Ant Tree Strategy; Biological Inspired Systems; Video summarisation;

fLanguage

English

Publisher

ieee

Conference_Titel

Content-Based Multimedia Indexing, 2009. CBMI '09. Seventh International Workshop on

Conference_Location

Chania

Print_ISBN

978-1-4244-4265-2

Electronic_ISBN

978-0-7695-3662-0

Type

conf

DOI

10.1109/CBMI.2009.50

Filename

5137825