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Affect-based indexing and retrieval of multimedia data

Chan, Ching Hau (2006) Affect-based indexing and retrieval of multimedia data. PhD thesis, Dublin City University.

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Digital multimedia systems are creating many new opportunities for rapid access to content archives. In order to explore these collections using search, the content must be annotated with significant features. An important and often overlooked aspect o f human interpretation o f multimedia data is the affective dimension. The hypothesis o f this thesis is that affective labels o f content can be extracted automatically from within multimedia data streams, and that these can then be used for content-based retrieval and browsing. A novel system is presented for extracting affective features from video content and mapping it onto a set o f keywords with predetermined emotional interpretations. These labels are then used to demonstrate affect-based retrieval on a range o f feature films. Because o f the subjective nature o f the words people use to describe emotions, an approach towards an open vocabulary query system utilizing the electronic lexical database WordNet is also presented. This gives flexibility for search queries to be extended to include keywords without predetermined emotional interpretations using a word-similarity measure. The thesis presents the framework and design for the affectbased indexing and retrieval system along with experiments, analysis, and conclusions.

Item Type:Thesis (PhD)
Date of Award:2006
Supervisor(s):Jones, Gareth J.F.
Uncontrolled Keywords:affect-based retrieval; content labels; video content; emotional interpretations
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
ID Code:17249
Deposited On:22 Aug 2012 14:04 by Fran Callaghan. Last Modified 20 Apr 2017 12:41

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