Semantic Validation Based Massive Image Composition

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Ontology-based Semantic Metadata Validation

Much of the Semantic Web content is generated from databases, especially the instance data based on the ontology classes used in applications. A recurring problem is that the instance data does not always semantically conform to the ontology used. It may be ambiguous, incomplete, or partly erroneous. Validating the data is necessary when it is transformed to a more semantic format. This may be ...

semantic-based image retrial in the vq compressed domain using image annotation statistical models

0

A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data

Big data validation and system verification are crucial for ensuring the quality of big data applications. However, a rigorous technique for such tasks is yet to emerge. During the past decade, we have developed a big data system called CMA for investigating the classification of biological cells based on cell morphology that is captured in diffraction images. CMA includes a group of scientific...

Image-Based Exploration of Massive Online Environments

This paper presents a system for interactive exploration of massive, detailed virtual environments over a broadband network. We build upon the hierarchical image-based framework pioneered by Shade et al. [1996] and Schaufler and Stürzlinger [1996], introducing key adaptations for scalability. A cluster of servers maintain a hierarchy of depth images of bounded regions of the scene. A client dis...