MR-tree : novel indexing and retrieving mechanism for spatial objects in mobile PowerPoint pages

Jianming Xiang (1) , Zhangbing Zhou (2, 3, 1, 4) , Lei Shu (5) , Cong Liu (1) , Qun Wang (1)

1 School of Information Engineering (China University of Geosciences)
2 TSP - INF - Département Informatique
3 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
4 CNRS - Centre National de la Recherche Scientifique
5 Guangdong University of Petrochemical Technology (.)

Different from the traditional office software, due to the limited storage and computational capability of mobile devices, how to support the page editing in a fast and energy-efficient manner is fundamental. To address this challenge, we propose an MR-tree based indexing mechanism for supporting the fast and energy-efficient retrieval of spatial objects in mobile PowerPoint pages. Based on this, techniques are developed to support the operations when editing mobile PowerPoint pages. Prototype has been implemented for facilitating the operations of spatial objects when editing mobile PowerPoint pages. Experimental evaluations on computers, pads, and smart phones show the effectiveness and efficiency of this technique

Domaines: Informatique ubiquitaire

Jianming Xiang, Zhangbing Zhou, Lei Shu, Cong Liu, Qun Wang. MR-tree : novel indexing and retrieving mechanism for spatial objects in mobile PowerPoint pages. International Journal of Distributed Sensor Networks, 2015, 2015 (372486), pp.1 - 10. ⟨10.1155/2015/372486⟩. ⟨hal-01263167⟩