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Formulating queries for collecting training examples in visual concept classification

Albatal, Rami and McGuinness, Kevin and Hu, Feiyan and Smeaton, Alan F. (2014) Formulating queries for collecting training examples in visual concept classification. In: Workshop on Vision and Language 2014 (VL'14), 23 Aug 2014, Dublin, Ireland.

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Video content can be automatically analysed and indexed using trained classifiers which map low-level features to semantic concepts. Such classifiers need training data consisting of sets of images which contain such concepts and recently it has been discovered that such training data can be located using text-based search to image databases on the internet. Formulating the text queries which locate these training images is the challenge we address here. In this paper we present preliminary results on TRECVid data of concept classification using automatically crawled images as training data and we compare the results with those obtained from manually annotated training sets.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Uncontrolled Keywords:Video retrieval
Subjects:Computer Science > Machine learning
Computer Science > Artificial intelligence
Computer Science > Information retrieval
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:20046
Deposited On:10 Sep 2014 14:07 by Rami Albatal. Last Modified 13 Jan 2017 11:46

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