TY - GEN
T1 - TravelBuddy
T2 - 20th Anniversary International Conference on MultiMedia Modeling, MMM 2014
AU - Fu, Cheng Yao
AU - Hu, Min Chun
AU - Lai, Jui Hsin
AU - Wang, Hsuan
AU - Wu, Ja Ling
PY - 2014
Y1 - 2014
N2 - In this work, we propose a convenient system for trip planning and aim to change the behavior of trip planners from exhaustively searching information to receiving useful travel recommendations. Given the essential and optional user inputs, our system automatically recommends a route that suits the traveler based on a real-time route planning algorithm and allows the user to make adjustment according to their preferences. We construct a traveling database by collecting photos taken around famous attractions and analyzing these photos to extract each attraction's travel information including popularity, typical stay time, available visiting time in a day, and visual scenes of different time. All the extracted travel information are presented to the user to help him/her efficiently know more about different attractions so that he/she can modify the inputs to obtain a more favorable travel route. The experimental results show that our system can effectively help the user to plan the journey.
AB - In this work, we propose a convenient system for trip planning and aim to change the behavior of trip planners from exhaustively searching information to receiving useful travel recommendations. Given the essential and optional user inputs, our system automatically recommends a route that suits the traveler based on a real-time route planning algorithm and allows the user to make adjustment according to their preferences. We construct a traveling database by collecting photos taken around famous attractions and analyzing these photos to extract each attraction's travel information including popularity, typical stay time, available visiting time in a day, and visual scenes of different time. All the extracted travel information are presented to the user to help him/her efficiently know more about different attractions so that he/she can modify the inputs to obtain a more favorable travel route. The experimental results show that our system can effectively help the user to plan the journey.
UR - http://www.scopus.com/inward/record.url?scp=84893472932&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893472932&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-04114-8_19
DO - 10.1007/978-3-319-04114-8_19
M3 - Conference contribution
AN - SCOPUS:84893472932
SN - 9783319041131
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 219
EP - 230
BT - MultiMedia Modeling - 20th Anniversary International Conference, MMM 2014, Proceedings
Y2 - 6 January 2014 through 10 January 2014
ER -