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titleAugmenting Conversations through Context-Aware Multimedia Retrieval based on Speech Recognition
authorsKamer Ali Yuksel, Aytul Ercil, Murat Celik Cansoy, Selim Balcisoy
keywordsAmbient intelligence, multimedia retrieval, speech recognition, spoken document retrieval, video-podcast.
abstractFuture’s environments will be sensitive and responsive to the presence of people to support them carrying out their everyday life activities, tasks and rituals, in an easy and natural way. Such interactive spaces will use the information and communication technologies to bring the computation into the physical world, in order to enhance ordinary activities of their users. This paper describes a speech-based spoken multimedia retrieval system that can be used to present relevant video-podcast (vodcast) footage, in response to spontaneous speech and conversations during daily life activities. The proposed system allows users to search the spoken content of multimedia files rather than their associated meta-information and let them navigate to the right portion where queried words are spoken by facilitating within-medium searches of multimedia content through a bag-of-words approach. Finally, we have studied the proposed system on different scenarios by using vodcasts in English from various categories, as the targeted multimedia, and discussed how it would enhance people’s everyday life activities by different scenarios including education, entertainment, marketing, news and workplace.
typeConference Paper
journalHCIR2011 Human-Computer Interaction and Information Retrieval (HCIR) 2011
published year2011
(Total records:1429)
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