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Item Developing Open-Source Software for Art Conservators(The Eurographics Association, 2012) Kim, Min H.; Rushmeier, Holly; ffrench, John; Passeri, Irma; David Arnold and Jaime Kaminski and Franco Niccolucci and Andre StorkArt conservators now have access to a wide variety of digital imaging techniques to assist in examining and documenting physical works of art. Commonly used techniques include hyperspectral imaging, 3D scanning and medical CT imaging. However, most of the digital image data requires specialized software to view. The software is often associated with a particular type of acquisition device, and professional knowledge and experience is needed for each type of data. In addition, these software packages are often focused on particular applications (such as medicine or remote sensing) and are not designed to allow the free exploitation of these expensively acquired digital data. In this paper, we address two practical barriers in using the high-tech digital data in art conservation. First, there is the barrier of dealing with a wide variety of interfaces specialized for applications outside of art conservation. We provide an open-source software tool with a single intuitive user interface that can handle various types of 2/3D image data consistent with the needs of art conservation. Second, there is the barrier that previous software has been focused on a single data type. The software presented here is designed and structured to integrate various types of digital imaging data, including as yet unspecified data types, in an integrated environment. This provides conservators the free navigation of various imaging information and allows them to integrate the different types of imaging observations.Item Structuring and Embedding Image Captions: the V.I.F. Multi-modal System(The Eurographics Association, 2012) Vasconcelos, Cristina N.; Sá, Asla M.; Sá, Marcio I.; Carvalho, Paulo Cezar P.; David Arnold and Jaime Kaminski and Franco Niccolucci and Andre StorkWithin the context of historical photographic annotated collections, we observe the frequent occurrence of some subsets of important characters, usually described in captions. For many years, image captions were annotated using natural language texts intended to be read by humans. Today, the information retrieval of structured information is appealing and the migration of natural language captions to structured information is desirable in a variety of photographic collections. In this paper, we describe the Very Important Faces (V.I.F.) system, which is designed to graphically document the occurrence of distinguished characters within photographic collections and store this information in a structured format useful for retrieval purposes. The V.I.F. system implements face detection in the image data and detects proper names in previously inserted captions if any are present. The user matches names to faces throughout the software interface in order to produce a photo annotation that is stored considering structured information principles. Once the matching is done, an efficient verification tool is proposed, which helps the expert to review the annotation, taking advantage of such multi-modal databases. The concept of annotation maturity level is also introduced.