VAGLLSI 2012 - 1st Workshop on Visual Analysis and Geo-Localization of Large-Scale Imagery

Large-scale geolocalization of imagery is a challenging task that has received significant attention in recent years, largely due to the increased availability of geo-tagged images on social and photo-sharing websites as well as the improved computational power of modern computers. Challenges related to visual analysis and geo-localization of large-scale imagery arise in a variety of contexts. Consumer and intelligence analysts alike 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, how they are related to each other. Local law enforcement agencies may be interested in obtaining content statistics from imagery from around a city location about population density, ethnic distribution, etc. to determine their logistics. Similarly, local businesses may utilize content statistics to target market their products based on the 'where', 'what', 'when', and 'how' that may automatically be extracted during visual analysis and geo-localization of large-scale imagery. Developing mathematical models of individuals and objects and their interaction for simulation and modeling purposes is yet another area of interest.
We believe research on visual analysis ('what', 'when', and 'how') and geo-localization ('where') of large-scale imagery can greatly benefit by bringing together researchers from areas of computer vision, computer graphics, photogrammetry, computational optimization and other related fields. Such a gathering will lay down a foundation for an integrated context-based visual analysis approach for building earth-scale models, where complementary viewpoints and techniques from these areas are used to develop additional insight into the visual analysis and geo-localization problem. The focus of this workshop 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