Evaluating the mission effectiveness of dynamic user preferences in video streaming applications

Author(s):  
Mihnea Birisan ◽  
Justin Chhabra ◽  
Nick Flanagan ◽  
Nadya Subowo ◽  
Stephen D. Patek
2021 ◽  
Author(s):  
Mojtaba Arezoomand ◽  
Elliott Rouse ◽  
Jesse Austin-Breneman

2021 ◽  
Author(s):  
Joni Rasanen ◽  
Aaro Altonen ◽  
Alexandre Mercat ◽  
Jarno Vanne

Author(s):  
Emmanouil Skondras ◽  
Konstantina Siountri ◽  
Angelos Michalas ◽  
Dimitrios D. Vergados

Virtual tours using drones enhance the experience the users perceive from a place with cultural interest. Drones equipped with 360o cameras perform real-time video streaming of the cultural sites. The user preferences about each monument type should be considered in order to decide the appropriate flying route for the drone. This article describes a scheme for supporting personalized real-time virtual tours at sites with cultural interest using drones. The user preferences are modeled using the MPEG-21 and the MPEG-7 standards, while Web Ontology Language (OWL) ontologies are used for metadata structure and semantics. The Metadata-Aware Analytic Network Process (MANP) algorithm is proposed in order to weigh the user preferences for each monument type. Subsequently, the Trapezoidal Fuzzy Topsis for Heritage Route Selection (TFT-HRS) algorithm ranks the candidate heritage routes. Finally, after each virtual tour, the user preferences metadata are updated in order in order the scheme to continuously learn about the user preferences.


Sign in / Sign up

Export Citation Format

Share Document