Culture Heritage - Revision history

Zivan at 13:30, 20 December 2016

2016-12-20T13:30:25Z

← Older revision		Revision as of 13:30, 20 December 2016
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			==Goals==
	VI-SEEM aims at strengthening links among key players in the field bringing users currently working autonomously together. Large potential is identified for research groups that have not used large scale computing before. Linking these to experienced groups will significantly improve productivity. The SEEM region is renowned for its ancient civilizations. It is also an area of major socioeconomic and cultural developments during the medieval and early modern periods. Hence another goal of the project is to facilitate access to the immense CH data in the region.		VI-SEEM aims at strengthening links among key players in the field bringing users currently working autonomously together. Large potential is identified for research groups that have not used large scale computing before. Linking these to experienced groups will significantly improve productivity. The SEEM region is renowned for its ancient civilizations. It is also an area of major socioeconomic and cultural developments during the medieval and early modern periods. Hence another goal of the project is to facilitate access to the immense CH data in the region.

Zivan at 13:27, 20 December 2016

2016-12-20T13:27:40Z

← Older revision		Revision as of 13:27, 20 December 2016
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	VI-SEEM will provide to the digital CH community support in the following applications:		VI-SEEM will provide to the digital CH community support in the following applications:

	a. Content/data management and shared access. The most popular type of application is that of a Digital Library, and communities requested support in semantic organization of data in order to make data available, discoverable, intelligible and searchable, as well as meta-data generation opportunities;		1. Content/data management and shared access. The most popular type of application is that of a Digital Library, and communities requested support in semantic organization of data in order to make data available, discoverable, intelligible and searchable, as well as meta-data generation opportunities;

	b. Visualization, especially for RTi data and 3D models via online integrated players. Two thrusts: a) the development of live (online) viewers for high resolution images, panoramic photographs, RTi files and 3D models; and, b) the integration of dynamic generation of 3d models from sequences of specialized image files (e.g., RTi); and,		2. Visualization, especially for RTi data and 3D models via online integrated players. Two thrusts: a) the development of live (online) viewers for high resolution images, panoramic photographs, RTi files and 3D models; and, b) the integration of dynamic generation of 3d models from sequences of specialized image files (e.g., RTi); and,

	c. Data processing, mainly regarding Image Classification/Analysis.		3. Data processing, mainly regarding Image Classification/Analysis.

Zivan at 13:27, 20 December 2016

2016-12-20T13:27:14Z

← Older revision		Revision as of 13:27, 20 December 2016
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	a. Content/data management and shared access. The most popular type of application is that of a Digital Library, and communities requested support in semantic organization of data in order to make data available, discoverable, intelligible and searchable, as well as meta-data generation opportunities;		a. Content/data management and shared access. The most popular type of application is that of a Digital Library, and communities requested support in semantic organization of data in order to make data available, discoverable, intelligible and searchable, as well as meta-data generation opportunities;

	b. Visualization, especially for RTi data and 3D models via online integrated players. Two thrusts: a) the development of live (online) viewers for high resolution images, panoramic photographs, RTi files and 3D models; and, b) the integration of dynamic generation of 3d models from sequences of specialized image files (e.g., RTi); and,		b. Visualization, especially for RTi data and 3D models via online integrated players. Two thrusts: a) the development of live (online) viewers for high resolution images, panoramic photographs, RTi files and 3D models; and, b) the integration of dynamic generation of 3d models from sequences of specialized image files (e.g., RTi); and,

	c. Data processing, mainly regarding Image Classification/Analysis.		c. Data processing, mainly regarding Image Classification/Analysis.

Zivan: /* Culture Heritage Goals */

2016-12-20T13:27:02Z

Culture Heritage Goals

← Older revision		Revision as of 13:27, 20 December 2016
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	~~==Culture Heritage Goals==~~

	VI-SEEM aims at strengthening links among key players in the field bringing users currently working autonomously together. Large potential is identified for research groups that have not used large scale computing before. Linking these to experienced groups will significantly improve productivity. The SEEM region is renowned for its ancient civilizations. It is also an area of major socioeconomic and cultural developments during the medieval and early modern periods. Hence another goal of the project is to facilitate access to the immense CH data in the region.		VI-SEEM aims at strengthening links among key players in the field bringing users currently working autonomously together. Large potential is identified for research groups that have not used large scale computing before. Linking these to experienced groups will significantly improve productivity. The SEEM region is renowned for its ancient civilizations. It is also an area of major socioeconomic and cultural developments during the medieval and early modern periods. Hence another goal of the project is to facilitate access to the immense CH data in the region.

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	VI-SEEM will provide to the digital CH community support in the following applications:		VI-SEEM will provide to the digital CH community support in the following applications:

	Content/data management and shared access. The most popular type of application is that of a Digital Library, and communities requested support in semantic organization of data in order to make data available, discoverable, intelligible and searchable, as well as meta-data generation opportunities;		a. Content/data management and shared access. The most popular type of application is that of a Digital Library, and communities requested support in semantic organization of data in order to make data available, discoverable, intelligible and searchable, as well as meta-data generation opportunities;
	Visualization, especially for RTi data and 3D models via online integrated players. Two thrusts: a) the development of live (online) viewers for high resolution images, panoramic photographs, RTi files and 3D models; and, b) the integration of dynamic generation of 3d models from sequences of specialized image files (e.g., RTi); and,		b. Visualization, especially for RTi data and 3D models via online integrated players. Two thrusts: a) the development of live (online) viewers for high resolution images, panoramic photographs, RTi files and 3D models; and, b) the integration of dynamic generation of 3d models from sequences of specialized image files (e.g., RTi); and,
	Data processing, mainly regarding Image Classification/Analysis.		c. Data processing, mainly regarding Image Classification/Analysis.

Zivan: /* Culture Heritage Goals */

2016-12-20T13:24:28Z

Culture Heritage Goals

← Older revision		Revision as of 13:24, 20 December 2016
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	==Culture Heritage Goals==		==Culture Heritage Goals==

	The ~~Cultural Heritage researchers pursue activities on a number~~ of ~~common themes~~ and ~~topics~~ that ~~will be impacted by~~ the ~~shared e~~-~~Infrastructure. Common data repositories~~ and ~~software, such as content management system MEDICI, algorithms~~ for ~~remote sensing image classification~~, ~~idPromo~~ for ~~automatic object recognition etc., will advance~~ the ~~research capacity~~ of the ~~various groups to optimally utilize them~~.		VI-SEEM aims at strengthening links among key players in the field bringing users currently working autonomously together. Large potential is identified for research groups that have not used large scale computing before. Linking these to experienced groups will significantly improve productivity. The SEEM region is renowned for its ancient civilizations. It is also an area of major socioeconomic and cultural developments during the medieval and early modern periods. Hence another goal of the project is to facilitate access to the immense CH data in the region.
	~~Beyond~~ the ~~data~~ needs, VI-SEEM ~~will also facilitate~~ the ~~slow transition~~ of the ~~Cultural Heritage community towards computational more intensive activities~~, such as ~~high detail rendering of 3D modelling~~, ~~and simulations of environmental influence on historical buildings~~. ~~Shared datasets~~, ~~easy remote access and visualization enabled by~~ the VI-SEEM ~~platform~~ will ~~offer a novel approach~~ to ~~Cultural Heritage research that can foster innovation~~ in ~~methodologies~~ and ~~applications used~~. The ~~Cultural Heritage Scientific Community~~ of VI-~~SEEM consists~~ of ~~11 research institutes~~ from ~~7 countries~~.
			Today the knowledge gained from the interdisciplinary study of cultural artifacts that aims at their preservation and attempts to highlight the value of cultural heritage. VI-SEEM responds to the pressing need for international collaborations and shared activities for the sustainable creation of multicultural inclusive environments and the untapped potential of digital technologies and ICT, which create the right conditions for developing and testing transregional strategies that enable the use of cross-media content and the creation of a polythematic agenda.

			Data storage and handling is one of the most pressing and challenging needs of the Cultural Heritage community. VI-SEEM focuses on the provision of the tools and resources for regional scientists to cast their data into content management systems, hence providing the stepping-stone to join larger initiatives on the longer run. This step-wise process will also help the data curators to address important issues such as data ownership and rights management, which often are the cause for data not to be accessible in the first place. In particular, VI-SEEM will aim to support regional digitization initiatives in a number of countries in the region that aim at assembling collections that have found their way to foreign museums.

			VI-SEEM will provide to the digital CH community support in the following applications:

			Content/data management and shared access. The most popular type of application is that of a Digital Library, and communities requested support in semantic organization of data in order to make data available, discoverable, intelligible and searchable, as well as meta-data generation opportunities;
			Visualization, especially for RTi data and 3D models via online integrated players. Two thrusts: a) the development of live (online) viewers for high resolution images, panoramic photographs, RTi files and 3D models; and, b) the integration of dynamic generation of 3d models from sequences of specialized image files (e.g., RTi); and,
			Data processing, mainly regarding Image Classification/Analysis.

Zivan at 13:23, 20 December 2016

2016-12-20T13:23:27Z

← Older revision		Revision as of 13:23, 20 December 2016
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	Culture Heritage		==Culture Heritage Goals==

			The Cultural Heritage researchers pursue activities on a number of common themes and topics that will be impacted by the shared e-Infrastructure. Common data repositories and software, such as content management system MEDICI, algorithms for remote sensing image classification, idPromo for automatic object recognition etc., will advance the research capacity of the various groups to optimally utilize them.
			Beyond the data needs, VI-SEEM will also facilitate the slow transition of the Cultural Heritage community towards computational more intensive activities, such as high detail rendering of 3D modelling, and simulations of environmental influence on historical buildings. Shared datasets, easy remote access and visualization enabled by the VI-SEEM platform will offer a novel approach to Cultural Heritage research that can foster innovation in methodologies and applications used. The Cultural Heritage Scientific Community of VI-SEEM consists of 11 research institutes from 7 countries.

Zivan: Zivan moved page Culture heritage to Culture Heritage

2016-12-20T13:19:51Z

Zivan moved page Culture heritage to Culture Heritage

← Older revision	Revision as of 13:19, 20 December 2016
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Zivan: Created page with "Culture Heritage"

2016-12-20T11:35:29Z

Created page with "Culture Heritage"

New page

Culture Heritage