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The aceToolbox: low-level audiovisual feature extraction for retrieval and classification

O'Connor, Noel E. and Cooke, Eddie and Le Borgne, Hervé and Blighe, Michael and Adamek, Tomasz (2005) The aceToolbox: low-level audiovisual feature extraction for retrieval and classification. In: EWIMT 2005 - 2nd European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies, 30 Nov -1 Dec 2005, London, UK.

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In this paper we present an overview of a software platform that has been developed within the aceMedia project, termed the aceToolbox, that provides global and local lowlevel feature extraction from audio-visual content. The toolbox is based on the MPEG-7 eXperimental Model (XM), with extensions to provide descriptor extraction from arbitrarily shaped image segments, thereby supporting local descriptors reflecting real image content. We describe the architecture of the toolbox as well as providing an overview of the descriptors supported to date. We also briefly describe the segmentation algorithm provided. We then demonstrate the usefulness of the toolbox in the context of two different content processing scenarios: similarity-based retrieval in large collections and scene-level classification of still images.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Subjects:Computer Science > Computer software
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Institution of Engineering and Technology
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Commission FP6-001765
ID Code:392
Deposited On:01 Apr 2008 by DORAS Administrator. Last Modified 05 May 2010 14:51

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