Extracting information from multimedia meeting collections
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Graphical representation of meetings on mobile devices
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
Hierarchical fuzzy feature similarity combination for presentation slide retrieval
EURASIP Journal on Advances in Signal Processing
Social signal processing: Survey of an emerging domain
Image and Vision Computing
Object recognition for the internet of things
IOT'08 Proceedings of the 1st international conference on The internet of things
TalkMiner: a lecture webcast search engine
Proceedings of the international conference on Multimedia
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Presentations are becoming an increasingly more common means of communication in working environments, and slides are often the necessary supporting material on which the presentations rely. In this paper, we describe a slide indexing and retrieval system in which the slides are captured as images (through a framegrabber) at the moment they are displayed during a presentation and then transcribed with an optical character recognition (OCR) system. In this context, we show that such an approach presents several advantages over the use of commercial software (API based) to obtain the slide transcriptions. We report a set of retrieval experiments conducted on a database of 26 real presentations (570 slides) collected at a workshop. The experiments show that the overall retrieval performance is close to that obtained using either a manual transcription of the slides or the API software. Moreover, the experiments show that the OCR-based approach outperforms significantly the API in extracting the text embedded in images and figures