A Multimedia Data Base Browsing System

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.

• Type: Conference
• Year: 2004
• Where: CVDB
• Authors: Massimiliano Albanese, Carmine Cesarano, Antonio Picariello
• Keywords: Account User Behavior, Computer Vision, CVDB 2004, Great Amounts, Large Multimedia Databases