Zhongzhi Shi
ABSTRACT
In this talk I introduce cloud computing based cross-media knowledge discovery. We propose a framework for cross-media semantic understanding which contains discriminative modeling, generative modeling and cognitive modeling. In cognitive modeling a new model entitled CAM is proposed which is suitable for cross-media semantic understanding. We develop an agent-aid model for load balance in cloud computing environment. For quality of service we present a utility function to evaluate the cloud performance. A Cross-Media Intelligent Retrieval System (CMIRS), which is managed by ontology-based knowledge system KMSphere, will be illustrated. Finally, the directions for further researches on cloud computing based cross-media knowledge discovery will be pointed out and discussed.
Supplemental Material
Index Terms
- Cross-media knowledge discovery
Recommendations
A privacy-preserving cross-media retrieval on encrypted data in cloud computing
AbstractFrequent cloud data breaches cause irreparable damage to cloud users and providers. Cross-media retrieval can better leverage the value of data, but existing cross-media retrievals are conducted on plaintext data with limited security. ...
A Conceptual Platform of SLA in Cloud Computing
DASC '11: Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure ComputingCloud computing is a promising technology, where the infrastructure, developing platform, software and storage are delivered as a service. With the development of cloud computing, more and more cloud service providers emerge. However, there are no ...
Cloud service engineering
ICSE '10: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2Building on compute and storage virtualization, Cloud Computing provides scalable, network-centric, abstracted IT infrastructure, platforms, and applications as on-demand services that are billed by consumption. Cloud Service Engineering is the ...
Comments