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Novelty detection in video retrieval: finding new news in TV news stories

Gaughan, Georgina (2006) Novelty detection in video retrieval: finding new news in TV news stories. PhD thesis, Dublin City University.

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Novelty detection is defined as the detection of documents that provide "new" or previously unseen information. "New information" in a search result list is defined as the incremental information found in a document based on what the user has already learned from reviewing previous documents in a given ranked list of documents. It is assumed that, as a user views a list of documents, their information need changes or evolves, and their state of knowledge increases as they gain new information from the documents they see. The automatic detection of "novelty" , or newness, as part of an information retrieval system could greatly improve a searcher’s experience by presenting "documents" in order of how much extra information they add to what is already known, instead of how similar they are to a user’s query. This could be particularly useful in applications such as the search of broadcast news and automatic summary generation. There are many different aspects of information management, however, this thesis, presents research into the area of novelty detection within the content based video domain. It explores the benefits of integrating the many multi modal resources associated with video content those of low level feature detection evidences such as colour and edge, automatic concepts detections such as face, commercials, and anchor person, automatic speech recognition transcripts and manually annotated MPEG7 concepts into a novelty detection model. The effectiveness of this novelty detection model is evaluated on a collection of TV new data.

Item Type:Thesis (PhD)
Date of Award:2006
Supervisor(s):Smeaton, Alan F.
Uncontrolled Keywords:incremental information; query processing; video retrieval
Subjects:Computer Science > Image processing
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:17294
Deposited On:31 Oct 2012 11:41 by Fran Callaghan. Last Modified 31 Oct 2012 11:41

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