DocumentCode :
2323869
Title :
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
Link To Document :
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