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Interactive object-based retrieval using relevance feedback

Sav, Sorin Vasile and Lee, Hyowon and O'Connor, Noel E. and Smeaton, Alan F. (2005) Interactive object-based retrieval using relevance feedback. In: ACIVS 2005 - Advanced Concepts for Intelligent Vision Systems, 20-23 September 2005, Antwerp, Belgium.

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In this paper we present an interactive, object-based video retrieval system which features a novel query formulation method that is used to iteratively refine an underlying model of the search object. As the user continues query composition and browsing of retrieval results, the system’s object modeling process, based on Gaussian probability distributions, becomes incrementally more accurate, leading to better search results. To make the interactive process understandable and easy to use, a custom user-interface has been designed and implemented that allows the user to interact with segmented objects in formulating a query, in browsing a search result, and in re-formulating a query by selecting an object in the search result.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Additional Information:The original publication is available at
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Published in:Advanced Concepts for Intelligent Vision Systems. Lecture Notes in Computer Science 3708. Springer Berlin / Heidelberg.
Publisher:Springer Berlin / Heidelberg
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland, Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:272
Deposited On:10 Mar 2008 by DORAS Administrator. Last Modified 17 Oct 2016 15:17

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