A Multimedia Data Base Browsing System

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Browsing large multimedia databases is becoming a challenging problem, due to the availability of great amounts of data and the complexity of retrieval. In this paper we propose a system that assists a user in browsing a digital collection making useful recommendations. The system combines computer vision techniques and taxonomic classiﬁcations to measure the similarity between objects and adopts an innovative strategy to take into account user behavior.

Massimiliano Albanese, Carmine Cesarano, Antonio P

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Account User Behavior | Computer Vision | CVDB 2004 | Great Amounts | Large Multimedia Databases |

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Added	30 Jun 2010
Updated	30 Jun 2010
Type	Conference
Year	2004
Where	CVDB
Authors	Massimiliano Albanese, Carmine Cesarano, Antonio Picariello

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A Multimedia Data Base Browsing System

Account User Behavior | Computer Vision | CVDB 2004 | Great Amounts | Large Multimedia Databases |

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