3 Aug 2017
Tooba Aamir, Hai Dong and Athman Bouguettaya.
Our aim is an efficient and real-time composition of related images for scene analysis. Textual features of the social-sensor cloud services, i.e., description, comments, and meta-data of the social media images are used to reconstruct a scene. The proposed scene reconstruction approach is not depended on image processing. The project should enable cost-effective solutions in real-time applications such as accident detection and traffic management.
Publications
– Conferences:
- Heuristics based Mosaic of Social-Sensor Services for Scene Reconstruction. Tooba Aamir, Hai Dong, and Athman Bouguettaya. WISE 2020, Amsterdam and Leiden, Netherlands.
- Social-Sensor Composition for Scene Analysis. Tooba Aamir, Hai Dong, and Athman Bouguettaya. ICSOC 2018, Hangzhou, China.
- Stance and Credibility Based Trust in Social-Sensor Cloud Services. Tooba Aamir, Hai Dong, and Athman Bouguettaya. WISE 2018, Dubai, United Arab Emirates.
- Trust in Social-Sensor Cloud Service. Tooba Aamir, Hai Dong, and Athman Bouguettaya. ICWS 2018, San Francisco, CA, USA.
- Social-Sensor Cloud Service for Scene Reconstruction. Tooba Aamir, Athman Bouguettaya, Hai Dong, Sajib Mistry, and Abdelkarim Erradi. ICSOC 2017, Malaga, Spain.
- Social-Sensor Cloud Service Selection. Tooba Aamir, Athman Bouguettaya, Hai Dong, Abdelkarim Erradi, and Rachid Hadjidj. ICWS 2017, Honolulu, HI, USA.
– Journals :
- Social-Sensor Composition for Tapestry Scenes. Tooba Aamir, Hai Dong, and Athman Bouguettaya. IEEE Transactions on Services Computing (2020).