基于启发式的社会传感服务拼接用于场景重建
计算机视觉与模式识别
2020-09-25 v1
摘要
我们提出一种基于启发式的社会传感云服务选择与组合模型，以重建拼接场景。所提方法利用众包社交媒体图像创建图像拼接，以在指定位置和时间间隔重建场景。该新颖方法依赖于基于图像元数据定义的一组特征，以确定服务的相关性和可组合性。我们开发了新颖的启发式方法来过滤不相关的服务。采用多种机器学习策略以产生平滑的服务组合，从而得到按地理定位和时间索引的相关图像拼接。初步分析结果证明了所提组合模型的可行性。
引用
@article{arxiv.2009.11663,
title = {Heuristics based Mosaic of Social-Sensor Services for Scene Reconstruction},
author = {Tooba Aamir and Hai Dong and Athman Bouguettaya},
journal= {arXiv preprint arXiv:2009.11663},
year = {2020}
}
备注
13 pages, 8 figures and 1 table. This is an accepted paper and it is going to appear in the Proceedings of the 2020 21st International Conference on Web Information Systems Engineering (WISE 2020), Amsterdam and Leiden, Netherlands. The proceedings of WISE 2020 will be published by Springer in its Lecture Notes in Computer Science series