VAGLLI 2013 - Second International Workshop on Visual Analysis and Geo-Localization of Large-Scale Imagery

Recent availability of large scale geo-tagged images on social and photo-sharing websites has spurred a growing interest in developing automatic methods for image geolocalization. The problem of visual analysis and geo-localization of large-scale imagery arises in a variety of real-world applications. Consumers of imagery may be interested in determining when and where an image/video was taken, who is in the image, what the different objects in the depicted scene are, and how they are related to each other. Local government agencies may be interested in using large-scale imagery to automatically obtain and index useful geographic and geological features and their distributions in a region of interest. Similarly, local businesses may utilize content statistics to target their marketing based on the ‘where’, ‘what’, and ‘when’ that may automatically be extracted during visual analysis and geo-localization of large-scale imagery.
We believe research on visual analysis and geo-localization of large-scale imagery can greatly benefit by bringing together researchers from areas of computer vision, computer graphics, photogrammetry, computational optimization, geographic information systems, and other related fields. Such a gathering will lay down a foundation for an integrated approach for building earth-scale models and their exploitation for automatic geolocalization. In addition, complementary viewpoints and techniques from these diverse areas will provide additional insight into the problem domain and spur new research directions. The focus will be on exchange of ideas on how to develop visual analysis and geo-localization capabilities that make use of vast amount of contextual information available on the internet. As a byproduct, the relevant communities will also benefit as this workshop will lead to improved methods for data-driven modeling and analysis of large-scale imagery. Papers describing novel and original research are solicited in the areas related to visual analysis and geo-localization of large-scale imagery. Topics of interest include but not limited to:
Visual Feature and Information Extraction from Large-Scale Imagery
Understanding and Modeling Uncertainties in Visual and Geospatial Data
Semantic Generalization of Visual and Geospatial Data
Representation, Indexing, Storage, and Analysis of City-to-Earth Scale Models
Automated 3D Modeling Pipelines for Complex Large-Scale Architectures
Integrated Processing of Point Clouds, Image, and Video Data
Multi-Modal Visual Sensor Data Fusion
Control Mechanisms that aid in Visual Analysis and Geo-Localization
Rendering and Visualization of Large-Scale Models, Semantic Labels and Imagery
Applications of Visual Analysis and Geo-Localization of Large-Scale Imagery
Datasets and Model Validation Methods for Analysis and Geo-localization Research