Image Knowledge Management and Rapid Precise Image-Mining Technology Investigation in Internal Cloud Computing

Internal cloud computing system can be built via constructing intra-enterprise server clusters, distributed database system, and parallel computing systems. We can define original semantic tags for digital images stored in the system or uploaded by users and store these tags in a distributed way. Then the corresponding search algorithms can be designed to help system to find the needed information promptly and accurately. And it can provide a fast image browsing interface based on the order of the degree of matching and worth to let users to choose and download the images they need. Particularly, we can build the industry-oriented, more specialized picture information base that enterprises can take advantage of. In the meantime, it can provide general-purpose users and specialized users with digital-image-related service suite. The innovation parts of this research include building intra-enterprise cloud computing system, the definition of index tags of the images based on the weight factors of various semantics and images to serve the purpose of accurately search images, and distributed storage of every copy of retrieved data in multiple databases installed on different servers to facilitate fast image-mining.