This paper brings together a team of specialists in optical metrology, museum curation, collection digitization and 3D development to describe and illustrate by example a method for the selection of the most suitable camera views, vantage viewpoints, from a large image dataset intended for metric 3D artefact reconstruction. The presented approach is capable of automatically identifying and proc...

Query rewriting using views is an important issue in data integration. Several algorithms have been proposed, such as the bucket algorithm, the inverse rules algorithm, the SVB algorithm, and the MiniCon algorithm. These algorithms can be divided into two categories. The algorithms of the first category are based on use of buckets while the ones of the second category are based on use of invers...

In this paper, we propose a method for maintaining a semantic cache of materialized XPath views. The cached views include queries that have been previously asked, and additional selected views. The cache can be stored inside or outside the database. We describe a notion of XPath query/view answerability, which allows us to reduce tree operations to string operations for matching a query/view pa...

A data warehouse is a data repository which collects and maintains a large amount of data from multiple distributed, autonomous and possibly heterogeneous data sources. Often the data is stored in the form of materialized views in order to provide fast access to the integrated data. One of the most important decisions in designing a data warehouse is the selection of views for materialization. ...

Materialized view selection problem is one of the most important decisions in designing a data warehouse. In order to efficiently solve the problem, a modified genetic algorithm for how to select a set of views to be materialized so as to achieve both good query performance and low view maintenance cost under a storage space constraint is proposed. The essential idea of the algorithm is as foll...

The possibility of selecting a subset of classes instead of one unique class for assignation is of great interest in many decision making systems. Selecting a subset of classes instead of singleton allows to reduce the error rate and to propose a reduced set to another classifier or an expert. This second step provides additional information, and therefore increases the quality of the result. I...

Human motion retrieval plays an important role in many motion data based applications. In the past, many researchers tended to use a single type of visual feature as data representation. Because different visual feature describes different aspects about motion data, and they have dissimilar discriminative power with respect to one particular class of human motion, it led to poor retrieval perfo...

To reveal and leverage the correlated and complemental information between different views, a great amount of multi-view learning algorithms have been proposed in recent years. However, unsupervised feature selection in multiview learning is still a challenge due to lack of data labels that could be utilized to select the discriminative features. Moreover, most of the traditional feature select...

View-graph is an essential input to large-scale structure from motion (SfM) pipelines. Accuracy and efficiency of large-scale SfM is crucially dependent on the input viewgraph. Inconsistent or inaccurate edges can lead to inferior or wrong reconstruction. Most SfM methods remove ‘undesirable’ images and pairs using several, fixed heuristic criteria, and propose tailor-made solutions to achieve ...

This poster presents concepts to support authors illustrating their texts. We introduce a system which smoothly integrates the search and adaptation of appropriate illustrations into target documents. It enables the author to search for images and 3D models. To effectively support the context of the document, the view and label layout of the retrieved 3D models can be semi-automatically adjuste...