TY - GEN
T1 - Managing media rich geo-spatial annotations for a map-based mobile application using clustering
AU - Razikin, Khasfariyati
AU - Goh, Dion Hoe Lian
AU - Lim, Ee Peng
AU - Sun, Aixin
AU - Theng, Yin Leng
AU - Kim, Thi Nhu Quynh
AU - Chatterjea, Kalyani
AU - Chang, Chew Hung
PY - 2010
Y1 - 2010
N2 - With the prevalence of mobile devices that are equipped with wireless Internet capabilities and Global Positioning System (GPS) functionality, the creation and access of user-generated content are extended to users on the go. Such content are tied to real world objects, in the form of geospatial annotations, and it is only natural that these annotations are visualized using a map-based approach. However, viewing maps that are filled with annotations could hinder the serendipitous discovery of data, especially on the small screens of mobile devices. This calls for a need to manage the annotations. In this paper, we introduce a mobile application, MobiTOP, which enable users to create multimedia geospatial annotations and employs a map-based visualization for users to explore the annotations. We propose the adoption of clustering approaches to manage the volume annotations on the map. Two approaches of clustering techniques, namely incremental clustering and DBScan (Density based spatial clustering applications with noise), are proposed and compared with a baseline approach in our evaluation. Implications of our findings are discussed.
AB - With the prevalence of mobile devices that are equipped with wireless Internet capabilities and Global Positioning System (GPS) functionality, the creation and access of user-generated content are extended to users on the go. Such content are tied to real world objects, in the form of geospatial annotations, and it is only natural that these annotations are visualized using a map-based approach. However, viewing maps that are filled with annotations could hinder the serendipitous discovery of data, especially on the small screens of mobile devices. This calls for a need to manage the annotations. In this paper, we introduce a mobile application, MobiTOP, which enable users to create multimedia geospatial annotations and employs a map-based visualization for users to explore the annotations. We propose the adoption of clustering approaches to manage the volume annotations on the map. Two approaches of clustering techniques, namely incremental clustering and DBScan (Density based spatial clustering applications with noise), are proposed and compared with a baseline approach in our evaluation. Implications of our findings are discussed.
KW - Geospatial annotations
KW - Map-based visualization
KW - Mobile applications
KW - Mobile visualization
UR - http://www.scopus.com/inward/record.url?scp=77955302342&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77955302342&partnerID=8YFLogxK
U2 - 10.1109/ITNG.2010.62
DO - 10.1109/ITNG.2010.62
M3 - Conference contribution
AN - SCOPUS:77955302342
SN - 9780769539843
T3 - ITNG2010 - 7th International Conference on Information Technology: New Generations
SP - 138
EP - 143
BT - ITNG2010 - 7th International Conference on Information Technology
T2 - 7th International Conference on Information Technology - New Generations, ITNG 2010
Y2 - 12 April 2010 through 14 April 2010
ER -