XGF6-3IUM-TT5F-RBCX...

Kirk Martinez
Professor in Electronics and Computer Science at the University of
Southampton. I have a BSc in Physics from
the&University&of&Reading&and
a PhD in Image Processing from Electronic
Systems Engineering at the&University&of&Essex.
Previously I was Arts-Computing Lecturer
in&University College London &&Birkbeck&College.
I have been
involved in nine European projects relating to technology for
Cultural Heritage. My research has included
content-based retrieval, the Semantic Web, image
processing, Augmented Reality, Sensor networks and Internet of Things
In the VASARI project he
helped design the world's first high resolution colorimetric imager
for paintings. In MARC he worked with the National Gallery and the
Technical University of Munich on a camera which was eventually used
to capture their entire collection directly for the first time. In
Viseum a new system was designed to allow web browsers to view high
resolution images (which became IIPimage). These projects led to the
VIPS image processing library. ACOHIR expanded this to turntable
images. Artiste made a system for retrieving art images based on
their content and allowed cross-collection searching through web
services. SCULPTEUR moved this forward to use ontologies and search
3D objects by similarity in shape. eCHASE expanded the technology for
commercial use by picture libraries. Recent research also includes
Glacsweb and SemsorGrid4Env on sensor webs for the environment as
well as Internet of Things sensing.
research has been funded by the EU, EPSRC, NERC, AHRC, The Royal
Society, Leverhulme, HP, ARM.
of my research
used regularly in image handling (VIPS, IIPimage), environmental
monitoring ( and
systems built for major museums and humanities researchers.
Publications
include a summary of my imaging research in Transactions of the IEEE,
wireless sensor networks, future networks, image processing,
multimedia, web conference, semantic web conference, electronic
imaging conferences and various invited talks around the world.
Research Interests
My current research
interests include: environmental wireless sensor networks, Internet
of Things, Web of Things. I also still create systems for imaging
cultural heritage.
new real-time feature extraction system for sketch generation. Using
110M LUT operations per second.
- made world's first
hi-resolution colorimetric scanner for paintings
- Methodology for Art reproduction in Colour. Made a 20kx20k camera.
- virtual museums networking,
EU project
- object imaging and
web browsing - EU project
Content based retrieval of art images
- Semantic Web and Content based retrieval of 3D museum
objects - semantic integration
of photo libraries (incl. Getty Images)
- sensor networks for Glaciers
- semantic web meets sensor networks - funded by NOAA
- FP7 EU project
NERC IoT sensing proof of concept:
Innovate-UK funded project on novel IoT human interfaces
Publications
sediments computer-aided learning CD - winner of Acacemic Software
Open Source image processing
Membership
Executive Committee Earth and Space Sciences
Informatics ()
group of the AGU 2009-
Review College - EPSRC and
Editorships/Conference
Committees etc
Programme Committee
membership:
Wireless Sensor Networks prog. committee 2012 2010
VAST International Symposium on Virtual Reality, Archaeology and
Cultural Heritage
Electronic Imaging 2010
2009: Sensor Networks for Space and Science Applications.1st
International Workshop on the Semantic Sensor Web ()
Consumer Communications and Networking Conference, 2009. The 2008
International Workshop on Adaptive Wireless Sensor Networks
()IAPR-TC19
Workshop on Computer Vision for Cultural Heritage, EVA 2008.SPIE
IS&T Computer image analysis in the study of art 2008
Web Conference workshop &Uncertainty Reasoning for the Semantic
Web& 2006 III,
in SYBEN '98, Zurich 1998 IEEE/IS&T
Colour in Graphics, Imaging and Vision ()
Apr 2002 &
session of the American Geophysical Union
Conference 2004 co-Chair of
conference at the
AGU 2005 co-Chair of AGU/ESSI conference
2006 Chair of AGU/ESSI
conference
2007 Chair of
AGU/ESSI conference
Commissioning
Editor for
Journal Founder of the
co-founder of the
advisory team which looked into new image processing
possibilities to read the manuscript. There is a
explaining this project.
Consultancy
Environmental Sensor
Networks. Image processing, imaging, computer applications for
museums. I have worked with people in places as wide ranging as
Imaging manuscripts and art, Wind Tunnels, book publishers to
Historical Archives.
Appearances
in the media
Visual telephones for the
deaf, Anglia Television News, 1986. A sketch videophone, HTV
&Video and Chips& 1987. Computer generated sketches,
BBC &Big Top Science&, July 1987. Success on SUN, SUN
Microsystems training video, 1993. BBC Tomorrow's World cover of
the VASARI scanner, 1994. BBC programme on image processing
Holbein's Ambassadors. 1996. British Satellite News cover of
ACOHIR project 1999. Canadian news (CBS) - live interview about
climate change/Glacsweb 2006 BBC News at 10 - Glacsweb 2006
BBC Digital Planet,
Semantic and content-based image retrieval, 2007
BBC Digital Planet,
Sensors, 2010
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&
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Demonstrating
at the Royal Institution in London, 2000.
4ocOjmC4m9KncFH4xrHyzdOVU0D3g1YrKpu4B8zN6PG1D67Q63pOglAQjJ1fcnTOwmRTg+VVHLgOERl7KGOGHJYvLTPyHlmN64dkCAWLY0lGpzc6owv98uCspB1kSZwEUkVp7jYlW7DA54HJ1fMTZ+ipJQ6n8noeeckJWG9CIoukfQQBoDKcaUEvyOnl5QTj4r1WRreuJM+kMb3yLXgD31BZ4SmbL6KXEAXaGCc2ZIzEcrU8xn3czs1G1CTpCw7mmZ4kInHu0h9XoQFrnfuvJ+R9NPr8NSmaTEadwi0NMXA5BDyqUWSZ2o8VhukvFZNxe/EQbBokLZTc071GmgbNhQLtEhVvBb8TxEs51z49lqS9ioMYpHT0hBoPynN2rmPPvrorYP9VYP9TSr0IsuJF1SIHFPBIIh6kyhJhyhMBXukQr5GzpWsG4cFHftG1sW3hxLTNqI1YyvM5ByB8oVEn+4lTTJ+ZWy/XIhvdrOjdMlYsPh3eaXbZlwSXbgjhfi5OjKo8tCBzUIOhxIYRoR37pXNdt0gCVz48LNeYUsLtuGVQxwMvto0OFtO5aOhq6hNuSVvGl0fvhOl1K7cKDKLorFELFRIPOjQ1BFrXxXshcCCt4RP+RjTVx6DICq6eZCCTz755P3v/b3VcuUCwkmRqyGJbBfwLbFflQaKbDZ8rL3gSTaRLsy08TJnjLD9iAVwUeeBHCb50DwxoqUsfWXOi64oPSQ7qHxtqy+EmDAiyYZmjfgERtFfLV9Njk18XGMBwtcEp16e8SBHXzt+zpuj6/KHGqmzokeIv7NPBz97tri4NKGjRspilOGfM+5FtY6IX1Vd60HJHgaiyFF1QLxAp4E6NIIa6h9JDN6OHnKaeQh2r5YjTBIejLgM/CIfi+9ZdTonmmtYlY8//hhubzKZ1NEMQbFuJsKMq+BiqggaKosgOxp/olcDoalG9h4XjcSpCUhAObR8D8YlvWul+2o0F6ddtEqMHc2kdzJqrXHUrBGrkmgpkljgREXFzlK80VmE2d9ajX65I83mqNSwY4D5qMVgh3il+CjIXbLPQZ12Guy8a+1msygzbG7JYAnyvIITZsHrwk73jC0xRtyEDnD9t9r52n+LbPFv8uXFa31+U0W8tCTGFFNdmpYWEenLrf3FT396cXExunXiInGxgTxtuVyKthYHSMTa0JnhRWe2KnHPWYx2tEUX8f1l5NT5ESk+rtdibTetLwYjoEr3b89JK/uBakGyFHFGtBE1skQPentOiXwLrAVsl5P5p2Dk1Xbb/nAyFsUWW8l0U1fsheE7cWofzpTPlB/zbMOQMVLrKTzJUw9FdFSoPiK9gvXqGo9pYtgRay0y3RSDAj4oUZiIPDk5ufrZz/Ky1C2WKhCx7ig1TzUk8LUkWQXrKjfa1VhXsV1UIiWc+7AsVptVjp3QNXJmpVldI9c8MtPBnWfZYrHAoa84IHoDbTk+EEvtimquAqxQDHpo3HQ1CoWMAx1d7x8eb8+gc/+MH3/+E/4kQU0/PxeePRX3KU2eXnIQ7C1ygAJBYXsZ42ylJqdsa1EnxbR/MNtYRvwR0UzafpW7PWtKpnfxQl36sD2mWB37CIS8whGjeJwO8aDSsKH1eQ2ArZwBIoXUNsfBmaQKOc+2CwFyyRxB0LKmIosslPyukX5S8rKxcVTYOdzWlOUCkIAlL4xlmRn5ze+Sj02rKvpBirQE/gdUQjRndswofKrbJ+AqkCbf/+++/DCv74Jz8GrZrnA34vHGLQj3w2iuFoNJ3gBmCK2MLBd6EkZUJJBM9HkdVrhDPYxQKuf3p6yqfLbyQtK/sMrLHSMHuBG+FdyF2ZUMARGxSniMS7NzjaeMN4ItlyNoUZJzJ6/HbwIHWf3uycX3O8JVZ+UUTM76pIcaRhMhTr0ZQmU9iokTqyQgTWoIqcDn1BDKxQAf+ShOYOG+jsY2PlZQM2nmrE1lPGEnRNg2F2CJxryd+haTO+6iCpZ0X1ELE7xInm05ad40yCo6ZYLHa3dUOwBpuWxb179xRBJLCZ2VqvgKg+oZEd2+qogOXVNaj6NBHLpfVWGoL1AQ2oSagSUvG3gyf39scHBwf4iUqN93BO/ecPP6vW9aYme0RCwMAMakezRYrMn+DawLIOpodvvvkma50kcoYkyIp1lRwwjm905Efzd2H6a7mOCxkTLPVsYxp4eBjvt4kqHOGwRe5ORJJm+YJJFL7RZafTqQpYmiY8kgjdKh4eX7+uW/krsytw9ZAHI8aCxRfchE7rWKrwvbJScvcmJJR1KJ2KqOooMBZn4nn7avuCJZjOdYdZb5ukuqMWseOTI3gFdqBrKqtgGVkh1ACte0Ldz4FKwLY2SpXFS6xU74LDaz7//POzszPrcLAXaKz9/f37D95Auk5aXdAKn3322bpG1sOT01uijBMfXfqdRqiJzlkPVU2zPxqB536x3miiMzBhBLfUcARhzPAHE7Ujx0kj0YiSx9KS1OZnVC9JbArR7vAgJ212hID7BIN66W2L37soB0uTJbU4zfHWqJCkkC2OhUNm7LBgOcrCxJh6E+G60qLvl9TRI8UOmobrR1INMKwPsVSIv0gyBitBrDtBdul2Nac9SNR8w7U39f4msUgLpwULZ2lqO0Srwm4pTqyFIwgfgi27CF+wiUl7FW09Q4GO7G/Q2F6wwLuqmurLJ1/SqSrv3LkD8nB4ePj0/ALk6Wa2gOUDi4bj18AKn5xcz648+WCwGii/LQ6pr6o1Gwukq1wshsMhOO+OOptVxGrBu8L4pzSMn2CbKMmqXsGEBy89H/ouUE8Z7h/0ScFwfZp0n3rOoB4n5/330J/IdrGXXX4yqBPSfCjrIBBJ1DMtC8jIYa170AA/YHf4e9lAX8PWQHAZNgLdx9pk55GKGhQPQEymDi6kKK34crEucYFiYCeN5u+7sxSOELaBVL1iPkXfpIOjR3jKPdjjND6d0Y25+KT2G4bRK7jtoPbA3h2f3CJpuPrggw/W6EnXiEFL0rt374KogZmAEOnRlw8hduJoi8RrK5GDeQTG06bp/fv34QrZYMjmg/tKJEUnOyrrJtxR4l2xMPXpYtcLEK9MyhnXyJWmS5FWjjYpXucdCytml29FPcdoGvMfiafoomA2aBO/AkPCyLc0ZtxSUz+LNdcSduQErcGLTKEmHyuh+cjga1G7KXE+cXqXb4gG2Hq4ICNvNOVvURNGfl9DDV7KE/M5zt3Rkink47fJZr3sqtVCIa81es0uVM0YR0XflPWCaAUVaVcXrVes25fr5Xg4BmcIvvnjsye//OUvF4sVWH9wE0GMNhUaFNBGR0dHTy/OwWLC9RPaUx7BSYraayDslaAEFWaxs+ztt98ej8cLcrK6iLRXhaZckW8XakccFUoyU0epdt4wFSEo2Xk3NHBP9sZSgwYKQeO5QKWM5mVR94ugTJRJDsIhgmhVnz3nD+XjoYLD48JsxFjI+M6F0Eb8dGkjM9sFnCQiEo+dljRDpqsWDBCcQ2yG1w353V2A+xKMxlLcQeBTfH2i2TPsSK8T1wsNiwZvnCjMVACqYyW47RrwW3OzWmHvTVo3V9czxF3lRqTKMrUxR2lITESzIBA+HNqSQrttQvhX7VGw2EhfFMNX77/WGfXhJz+/Oj/nl00m+yBeYJiQIbuql5sqKyFUTNY3N8mgyJFUJkGbA0aH7p5MiUV2hhoumaw2dZekt2/dzpO83syJyjkTXiHOS4EgcvO32CkXoveODwaE5Vhgxl6PjqInFCPt2/YYIQ/rEOeHVKg56DCMCVavDePZEk+H3MOL+fSqUB0iorE+3cARogoWLZYVQ5BgFjWxLfwRy83ac/bRfDmhRjO6J0vW0QNOIWVv/X8I3qX/0nXdEBZF1ZibRwErsxKeQeJuR+0ExLpBKVnswVkhJBeH6cLKmcx0jYPXVRsca4sHgxAsaNwQ7tvBJiS2PRofPLl8Co5OtVmqerO3d5jtHZpmDfamNdRujyhTh2BhTS1qzKRG5WTP+YcJmxRLQ4jJS0CptjXRzigIBU4mx4c/+qu/7NZzM8otTiTYW8yvymJ8fX0N9356/3VLWcdnXzye7B/V1RIHcLoGb5LaO5j2hWdBL1fV4cnh4maZ5YOb88Xx5Bicd4vkaWlGuCHSRRAsu6P9AxWiLSwoKMyZwWYkBEolXDWCpRrixOro0CB/aYPsuChchgqohGLYMTGsn9to9p942agemk7ssthBtlkcuKdRjzy+P/Qds6DKGWAUAyYn01w0UEsh6ZrISDTnYMOcCzGg7E2KooJTlpUFuKXodCDAD762WoMGCaB61rdNrPDpRLWi1TEwp+fBk6vrVViLhJj1NEOZpYhhEdEF5rEdZGgaiqzsWlDvbpyVLbbZd3TuOAGNTBu4JpyrYgS864txdI6VC/hXR0BkVnWJyg6Pjz97+KjbrFC7Ig7RLOY3eVJieJ+X05PTvBw8fnL20umdcm9viY2mZKwNk6BRpkF5NH2L+qO4uZmPR/uz1fo//8f/9NLrrw9eOl67lidjpUF1cZqU7439fe+PUjelfVHxyTtYznpz0OGc2aRDXy/OKciLRZhEenyvVO35j0wE0vJRvGWb2JdWLHECCKyer8ZaFpZCPk4EmsuUjfXjmeAXaaqmjyONhRJs4E/M4JWlJeikTVdLXoakrU7BMaCb22WCC7eC9TeS1n52mcyqCG6s44wKuWLwtf0IK9w+vFYGN5HlJd9HpxPMC7Q1N9tgP6r2ZpC/vqPhEz5kCyQI2EvRWh7SQpgHUDgWYoFiMBjvHX3w4c+Gt++urp+1i1U2GjfVwtGoneOD4+nh0c16dXl5eef26d7B/tns2uUFp+q8m6w5LqWOIMSsWlCro/EE/vbpX/+/P/2v/+VP/uW/sIF7k88YThpPU9gYlnLxTtgx2hGs2A+TZ9IwYxKVWcukf/0LYtkS09OFB6Iwt+Hn8UfEfjQdQTSprQ8YvJuYBCac59+FWpYerBFZUbFsSSG/DbPyfKnK5DJkRQcgWkND11OpCYhTmdDJ4wjIBGqKNkzJDvLrwx8TmCa54Y6HZPBFMMlhNAJlDRjvhbHd+fnV33zwE4W+DVqEBNOwBFJF3JbxYyWNFynCu9JmWISHo7QRoxa2YyDwKB1O92brtSqGf/yP/8nDz3/1F//tT+HCaTFsqmY63MPkwmrz7MkZ6Huc0QzXooIgVWoRea986p8+Xrk81WD/YRnXm9WgLMHf/j9//j/++J//s5a8Vdlg5hUWNLoJfOj+rHed1b08yS82kBzzw+sbpVd0REU+xHfhheWtlVgblROm5HspFCFLo/Fx/S+4Vehd8EUkPnBE4uLcVprDUrenDg34LgrJ+TDw/saIv7iBXkWNqPB7mlN/nPHQAKq6E3bbED0EaDjLFVCkL8Nu96aqeRgwuxfgNCTk18J/6FOYVnk+UPLDUZ3itcEortfVqDBPHn/xy5/8NTbBg9GyjNSmxA1n/7Hei+h1E1S68qENqjG8zY5UFtfws2S4Pz2/mb/21ju/8/7v3bn3yo9/8sHq7Clo5iwr7736Ktweasf10uRTTjsJAMv6oF6xVBFEHm9YUxkX2+3RacLeVqwFBDbEONxLIiwoP4mHuGuJpHNL8cSCpYJNZFlJPNAtpDe3x7XJxtt42KTi1ote2bD8YoRoqQ2AqTt9hczTestRF0GRGzNbsAVFYpDuvEZTvo01kw3QLn/SCF4vqTL5yqkOIKH4bNlQFPO4n3AtllDJi8gyOcpuu9Cc6AKOFCusA6x+r9vNpq7G5RDLmbOZmQxA1jRDtmHfeDFwolNnEic5HEdpTM1Up9iIQy9E8BbhftJ0tL8PIcdb737jerlRWfF73/3e//yzP1Prq1deezAeTX/xi0+qxY0qBu1qNZ/PT09PHv7qVxZzIiEwYMHFFrIOKbi7Blnk63bv6GhZrdeL2ff/5J9ylkcCKHEAJMHjokx6xrMt9NauuwiJJFbGbypytyaC5tMhNWVCM7pIpDwgnJLSUKzkvMqJ5hvKAdDbaQLRW3KFREZTGw17hrRAQQdLjMmzd7gCnUaEcuB2iuLsiMzRek7ULCHR6UygiOYvjxEBzhdEUg3qs/D1CpOgCq3qjXd+cFm6TbWOTxVuVoehGzpVJZbSqrbiFxwcHOiTE7u8oVvGKV8U1RjqlEb3gXhDwqQKFx16R6MKNZ177B7S4KqPxuOsmB7cuv3oyTks9b3X33jl/huP6o8PD44f/fohCBN8AwhZNstqtVrk+cvgcVi5qPa9RopDASykwMa0g0EBkgyu52tfefDd7/4+6nmT9C5O8E6kZiybRHkp01G9PHicJFu0kSGMIlBu0E+gezBZHxpcRRPEZZzYfinlmywknSZusY0eov/EN4qvoEPiVEWWmn+3nFMgk0VlXqsD3csg78lIZAXQrCU9hF2KiTi3XPIoEi+okIRNAkAi1snD4RAnlgZ6TCkAJ9EsPBHhhBgmUHU5hmap4+Pjl19++eGHVyxY5DI51luM+SBGetl6/1OUdqK0jf6Z54Ur8qq2SWmwKdKY13/rt/bzwWq+/OLJF8NimCUGZ5LnOaeSR6PResPRkOOOWRYsrSkkpGYp8MwuF3Nl0n/w/b9/+87Jo9Wmo4DcRBlqyZ6LgmdlkCGhPhHXb6OWVYROScOgQNR82IPXM/HFYbVYIvk4Xv8yL8TbEzCqDrOlY7vJdyuAPtFM7BDHlRzxsVAM0n6iicCi4IJ7e3vycS7kHXDTlW8b0QGFBlI1mUxAYeHkQMPrQHoapxCh5QSbpJow0ALXAktRSO0zLItBkfvKK8kDZjXBMQkFWq+1MeIzi9kcLpINMnDiHz58eDwq3//Wdx7+8C/Kw71qcQ1/KrMS5NkizEuPisGqniP6ncJRWiN/iMF5AccYybHaFswU3NLh3n6WpGAEz8/PxwcTEN9RkZ3euffzH/34yUcfGYV9f6g/YEerdTIqQShBsJYLzPuXwyEo/PVsCXdelgNYglRjtIvLqtWmqV/5ymuvf/UrT68uGjNsuv6ga0JQIQ4pKnFIhQeX3tJokAT5Kb1PFmUUxdHhXe8C+spEdRIWBbPNwWcCGmBd9Y2jXpsxuqjloirczFZyXCyv1HZYkjjdIF9KlFbvuSvF/Q0OxxxXdVWJ2e0kZsTX9VUsRSGz718SzSlyrUNhUk6MjgY72ahrwEUJNxsl9WUR0WoRUYXJM9g6OxpmRTGYjMf3789//RnoMwuSt5jDBw6yIVziZnEzLDMkUW4RNIXRQEDfKpkei52PSUb4J3hyNABbhwxj4HEiIwz4cp6jorE0M8wqj3Fb4cxpLNOCR7mZzxATmJdEIo+otKbewLGYHOxdzRdg4N9482tYJczyIoPXJKJ15MTPZjMVzegSySjKIpYDecSC4iKVBubTRS0JO8suv8s6t4EATR58fcaTyaRSqRwn203PYrZEmHZ8QZm3KFeOf3fbyhh+gg/ughDH108t8cxioG+Dr0CwJsx3qQBSYF8Xe4gxneyU70zSTDaEPAiK/8m5PgwqCd1ltd1gHNE1G198TPPs6Padv/vdP/jv//7XHfrtCZwL17mq2YCUZQkNqceCZceellFc+se0rm19BKJI9JHGOEtrHH3SDPIMVO3T66tuucrKAl58794rkzE2CRaDkoBlHbjzJ8e3ZvNrhZPDa8WxRYusRqPBpDGI48wHg4urs717r/ydd9/tshSWAAK9GD0nAaAcdBecd++e1+D8prAEKS5j5hKPsJMJpUqof9j90rvYeTnAonVEqnAjbRf/U4QVvjVnL40nC+XCrmMT6aLWU36j+Dw710+2h0n7U7HdayMvhpVBLkXxv8OxQadeiNfEb5BIIVZLsczG7qEc5Vjn9ecA/9d0bb2uQAM1IBGgvyZF+ZW33/n0m+9//snPq6dfqBJHBlaLNSzYeFi29Ub5tmOqDzDWz/EUJDK86GhjYE+prESDNV3ObVPjuI66HpTl3ddeUc0a4RBtM5/PuksL+g10SrVqT09P33vvvRapmurlcr2aLcHBX8xnF5dX0/0pOAUXNws1HL39u988Or07r5oaTluGnclJYPGXMHk8HqvtUE4WRJSNuCNi+2I1IAIkixxfR+RGZNdEyAXRguKTcV7KRVPfOSukbX8bsk1yTnQUJLoI277zkNeIveL3Whqsp8NUMPEjUWO1Xc2cEngDWFxBNYTzizJC5FhNCT8hG8FkpWWMg5GMuR9XqUJNwLqeOWlY5sjUV9Vtg/77zXLZdHacJN/7oz/6wf9OP/jhpVrOq8EoyXF4Dugt1flWbkeZJYqe6YIYQYX2hA1IYbvYrG4W8+n0eL3ZzM8v9LBIjZ7sjZeXJeins88/xcCGqXtxcAWYiQE6R6o6e/YMdNPBwdFgMHzt6Gg+m33y8w87sGZZUl8+u/P1d7/xnd/vknRZW2avclE6RnYoDrJ0RKjPiWX2umKlIg3Aogz4Ie7wjmC9UIx0BJ9SwTR7JzoC65meyUyzDyce/Y4ulNswYXTK84MO4n8KNMPfjzHD4UCFWdeirlBjxUpYHDdGSYt+6iJ0kQsWugfwR0B4UVr+EHRNjcNLXF6kKgOFlbSb9XI1g7D85Oj4G9/6ttLtB3/5Q3VxgfmQorB1S8Uz45DqiA4HQXGZPhZnkg8GYALX63K1Wc/Xq6dPn6hWf3lx9euzLwYH03w83N8bgS91cflMWayoJkWmnRmMRrYzm1W9nC2OXz56+MWv65ubNUQALrlz587BdO/w9imWaGoUwTffevule/eeLXFKU5ogEJLjLxvYixkGLqyyKkoTmDD0hp0bXhPR/fFSy9bGDH3xC+J0QOzBxDz78eeyBykbLFfmqHPnI5wg6KPucP5d2JRFz/G7JHK0IWOAgptiZsFto274lVi0l+vGEocQAGIyaUOLpphqBi0xz3FHVObMaYuzl7B3kNksnOfj2lSIicwKi83VOGOyRf5P9+XTZ4fHx+9959twpn724x+3yyXEUZnGUhLCANGLxLAdThDEriAZigIirBsX2TBP4Sds1GwxX1wtLq9uNnmS7Y0Pbt86OpwORuUr9++385vF5UWzqdZg7RCyMrAddkC8ffrW2fnZxfkVfE+13nz56NHwwfC111776JOPl5vVg99978FXvnaz3EDEW+EhxvozWxPRWHzSdpQWLytLnlQ2ZCfgBRCQikMje6nDKN4dV1pEdkevoMBlqYsOMM/k4F94/22QBsvo3iBYrJPkT6yZ5M7djg8T5U5dZL5jHYwCHc1fFXH0GkvAtbwcNvRG8hmV/kwRLIz8sYSccM0QfhfnFTwQfjeOAdCe9ELjrDnwS7pNvdFpAwsAlguLPKs5fOXhdP/tb3xzPJl+9ouPLx6frRZzCG+IgUg7HFeWFePx/snJ0dERaIizszPMedYt6K1yhB1woJTBPO7vTZbazVebq6fn88vZdDT97a+/e/306fnjR5vl8vGXX9aLdZon9XoDyhI+otlswESm5bBLMohqnl4903maj8fLzfrdb753fHr6+OnZ6PDI1W1tNzmxdux0qsCCsKCI6UlCgy4WPTQWNGJ7JKZNAmrZOceYMCzobcF322hyBF9A05pC0Kkj+RZFwvcjZTtDcxI5aMCPs44ohYlSmjwV6hwnCC/pCNoxfKaLOCl29CWCADRzFGOOXuOI7rTmhmyHo/MSJCryIA6aB4kYMeTNYnnim+OEBA8mB60G2qitmwwnMqjJ3iRBG1HBCpTDEj6a0jedAR8nodlJFgFq4Svj5MBNjRAa1bTw5UbDobLNIJmunZ3drJYblx/defV39o9fny1nN6FmR6qeDbSzcKhNli46VJUQdk0Pj+x6OZ/d7E/GswUm8WHZRllWrVu7aW+qVV1vulal01tJWh7qdD2/Xq+ov7TdPDn74vbJCaiudj0b7B9uag2ytvji4Vffeuv3//AP7z14AAsEZrrDTJpdVcuiPKRuC2R/EaWlsF9vJhkp/hObIcyU1PWaUh4pERiz6QTdye6ijWaOKhqvQZtMxIC2z0RwP5cVpUL1QHjlYr2OG1CJDQD1TVN5TodEU/IJ+xIaRflnpLwjLk4McRLDQlxtVg6LYzzxg7AlLHBRsa7zCBz81pPp3mK1hFOQZp7zsepsjt4NIS+a1jaOONW8+KaxZjahcwN+LqibwAbkv/OJeD8PmGH7OIsrxESiKo1hT1YTlbBO88LkLs1xgA410cP3reGWaxxJCO9PXFakA2PKoSlGyXiSUHNDR50UWL9xNnGEmtmgiRzvH5Z5BqesGI1vl6OnX365Pxyu5gtYIZD+9aq6uZrlgwHG3mnWYW7UDrOknAzGOBkaxGsBoV45HAzGo3nT4KzoplUHx4d3Tl5+9ZWDWydgydCe6y4fZKMceeIbZwiAqMWIiPPRa50wVQ/OMXF1av7+2LYbze0VofQPIfzonZrel/LLTg0sbEMcUX5qKhmkgaAf/0QJCMFuOx4N5z/RGT9T0nHTCvoXWBhTrSVUhd5KaFkMtAlE4Izr+6rx92cX5xXN8sR4RmHuF64GEVmaZ7IgluHeTGvAWGZZIPFGQapSorJgGIxoSMlY7Fhf8eX5ap1v/MXeBEyT4uphDRnWn+aBIVcsEaFh8cxkBUSOdmrrzQTsFYP+QUOCaQX3n3RqN5yW6/VmfbOaHOzBe19/7dW7p3f/7//684z6U4rhcHJwaM0NCM1wOh3RhKO6qepq4MBZwvp23VVreEJhQ85k3bnRwf5kuj+YTF+9/8bdV169ms1HkwncLUm8SYkGF65NRIw9XbnIADvvsQuB+r7DNASbGFklQ8Gtjn3nrvemqZfCsS7zKHXK6HpHNuEPlblUKOZcBJcMCCe22DXhsmMXw7+iQZjxzzZi5JatJ0NGE39sn7jqyIFG8ims0RH+gDFhOEUUW+dV5Pu7QHflR/fq58peXLzkUIi5kWQp45MXBChiPAtpGBOGATHVYEJlTUek6lYlw2EBH5inlCm2OEmWPb7p/h7JPLInghzUVQWWBWnpujYdTtvZ2fziRuXp6Z27IEknL9198uknIAoZkQPAGZpMpyBYYJinh/uoRarBZrNoqxVOfNaqyIsWXLTp9E5RglOyd3QMkjMcTVGA2ctB/DHWA9g72bRdOZ7okPrTUa6OoWmWcHCCKWW9rshnihOSkvuJs1Zyhvm5juY5KuV5dZiWSPu0kAp/hRUrRVP6klEXxQRdb2TJl9BOb2lKFwWGO8+EG3MsWHKfHTfI0NyalFCfcPRk38E76voopXfQU9FAotD4nDGXpqVM4K1bt+D5y8vL1WbpAj+9F+fQxNhFZDUuDlZBRBi9bRwvd0IlEYPmgowyQlAxpYBVLaOLEjNVzPNcb9YVqKkVappqvfzaW+9cv3R5c3U9u7z88ONfgdN4eTMDm6hpLy9nV6u6K0fDfFBePjs3OIvGmaIY5SB1E/DTWPk11RoB2pfXF4vVojnLy8Hd0Xg4KGdPz0EGBxDuEWiECPIQwsPiIMG5bzQIQT4/4iC/aivq+sFsLrffBGVEGgFnfPrpip5h2jP2MIeFt5GksdBDYivle7ZIKcSRu6PI3UQJVQZUEBqWjkFgaBIxsgHxF4eiO5qCDY8N86NpSLqqNnWSebRMa/uECP4k+9IFUkp2JVOuMemQN+MjGNcKBX3V+xmdD19F9sX26TCYgJ+nWAlhefj6RGWJ4WvBC8DdoZIpth6DfGU5mu2UYAi+O9bYzIKbprMWBQ/W9uUHD1629y/PL24urz7/9LNffPa5m8+Gg6QBV73aYHIiK/PhYDSdTJHnhghjW5yNC8+BMBtywS2NCs8m+7gizsyXi7Orq19+8djobLhcFeXSZA3etPK0BdwHYaNiA68GD7cSFR7vkDxsfPZUH/R5y8B/NlsVi/jc0877Bht8YZpRh5yMn6EymvaN472fFPlbYkZiNSZb9vw902dbESx/MwjQp3ooBxgommlGrfe4FIHZv4sGtKAUdQFUKp/HkfOIUkcQPYEtu7i4sMRQYFJmMVcqQk+z2LIrpqN2TbpOhn4UvotaPentjqLPjscoEBMqvDDLMaeepHkXGCTwSJZtNhjZMcIoZpdXSPiRZlaZWyenx6d3nj59ulncPPn1L5rGpeVg/+A4A7d9PNB5enT7BHxdmlOygu+82NRmjfXHpqlObh+C7lo2TY7DxtJ8PC3yQTqEKNKBv5WPBtj0YUEobQ4qAgfXJdZ5t11HmUDOggo2nEuBZDiYuolhbMz6SFpEGxXSPZqgTtYnHrmGSPEBvqILPInMj8KhOpFs0xqillIBvc6tGGS/cojckQmD3FZCeCONutqqxako2pB/9iLF50SpAGXyzzr6GqyASHGiTslT5NKoqcDVRbAwHYpUKQ9jEjSPCBaIlAz64b59eH5YjtDZV3rHkdoRLH9pDr9ruKbBtDk6nFwewTsZDsewEW1Vu8YxtxuaY2IOAZnAnGxDMg/7kRZpYsEfurh4plGFYHH33v3XX//qm1nqHn/x8fzmshgMweuaL6vp/sF8sS6L4SDPx5MJz5JBLCLaQbDJELshf/PYYHbt4gaHk90+He4dHo2Gk9PTl6bT6QrClVWV5Ngv75KUB5WI96lCupIXVGIaOVE8SHIXTuBc3NrcaxEev8GqKZxY60sOpt/wvicHtEYjfjDpfxM+d3eeYCw3O8pJBZ8sFqzOdzxsKWCKLDCkTIMJbpA2xOtUZOwNxGti2fhPqJni0IDrrMzQyt46z7pghTybYfLGUccwY/34Ab8zC+8Ox5el2S/sobO/xdhUNDE4A9cp6tdL+GDSvMwsL4nTCLvj8JB3xhqEooMVPbp9Cqd/srdPy9GBmGy69atffRMHIVIHUDZKV02TDUqQd5AJzMCEg4R4EpoebHIDTl85xu05Pn0pxa7SjNkhq6a9ns3TvBiMR3AWHMlKXpZNQKqISLkoTBGXgJ8pixxp1jknyZ2iNX7rIpRiUjCKuediQXuNfYqoTHFJ64rymbijsA7U1orjPvOcxsRxJ1bbBe9Os69lMHflWhosqki7MkaOfGqd43VcLF47giUyFPLvjrDtvm8RfEP4HW4MocYI6yMzR90uiaYCaBAeUdveGe39PnpKmC04oGOqLh1gKsoQYabaKkzy74yJVhE4nz1WMEa2GI4GA4M2xed7UKKTHghA+5Npmm+TZTmz81CbKHqB9NVxZGZnkQaCb4aRidYNrcNhmWlagmpNLCk/mn3BSFNOKhvvUmiefYHtPprSCNiIilNX6N4QSQoi3lGiB5OVSNdCRRIxE/Tgf8bOe7+AxlXVmkyhEpBxUhDDMUU8ft3CBZE1uK01rAVNls78JHa8FJxtxAUNBzR8kEwHvqd1lkk6+6jTsKyQHJtAYyQP8Xdli8VXjn/KhnI+30blRXba4HjYlKZi45Z5kjCcMI9U2Fs5eh2gz1uQVqmWM0CU0ZJ8TCnUoQ/TW9qVH902sZHXrkwoDVatSWiCDU2Kso6HjngTYTRBF6jXHYGX5JuE6yTcpWXcEq+fYccFMdwQ44HvNNUuS8jbTDsi6UKktuaaUsLuoPVpQ4etjjmIjJEmNmrDtRjA4T04nMqSWOohJe/IJs8xSHk/KQSJYq/Y6YTvimETfrMOFKUitkdwRyzx86QEn2/wwi3fAeYpmIbXesYORY3zgyFWPsrhEPHj9Cng9nW0dFr3JNtKMUcv9qH08yBVn8vt1K5TpaOM6I5U4aOl/AXVfFtjWXpIEsAAejWEcGT4IhRG8IgDx1Y1/FTcpSMfY0PqQsJAycIx3rm1DVFfhuRbpEilmB9fDf4PFsYoHdewGCDAs1mc1yWM6zIUZ1OjsIuxGQjFYq6B1jD6GbaPUh54RnMEDGLXfOs3mBgMsFJGspJSLcyfafj/zNPk4hIwhI/6z7KCkiCM6+WzQZV0OeKyK+Ge+00SwULFW5ZtV7O5FGoXFutYvYnbRHvvPRCLjY+ekHI4ntAW+qZOkgsWRSUhRC9Y6Kt75wxVgOuLiVk52DGFYk/irX/+NXT/tO81gVFZCpMewsW0lNi0qLfq5fwz5XyVXJHvDH7heYU66iuCdW+Iqsjp3RhbFEwXtR/h24M25peFQJLyH9T14Q8WIRkwptFYk5N5134j6WdRog+XtLRnne8rhwvWbUPsp3RikYkDx4lhXq1FogdKmHk/yFGyCJRJKpqVhp9T4tHnogw2N6TIBq1wmIEOesgLR2TlZSfEavgFTakJt/OoNUt8VyRGCRXR6BBqX/MxOLNuQ2YQPQ3Q2eiKkEelSLdVfgQpL19QSNR6rmk2KH0qbx+6c5b9Pz/uBu843qOdk++ipIN8o4TCqJa2vSPWeyRWIfodxZQEcta6sE0R75KIairEXOwPyEeyiuIGRR1CxVIX+MxzQY8KCYt40fk4N6uK6xvSiAe3Sikr4hlXtA3oOvDNJRxRiTKgrBmnGbnav41UQeb4jrQrOrewjHDYiwxiYTOfXeM2B24y/s6pMu269u+mOJTmoybMB6S5boPOGPcP47OxxopPpHN99lnOgArJTPkKmntAAyLZBgRLEoYxDYfDrAQVjsIEX7SlfgzkpmJzFu6VVgCtU6ZlrGmvXmJ9Y8LwEjSaloBMuj/bKsLp68jHknuToNCFji4OfpOALA37Qh+HF9+a8NBrLOlGSgP9A7+Hxy52gSba/4m/pzbxN3EBCKbD6IB+GyC6wR7j8DVC4En9M6xyaHGwVMD0Oip15FY7/m7+iyFhF5VQ+ARapm/BzuwM3F6SL4vkMfB2yu7DJ8GGue0HkRPqAQS5XKXV7BAgBIQhsQzFQ66OpGPmKkSCdK34WLEhU9tgbiPEL4pCQvQCNY9bogWgK7vOdNymR44Q4g4UROUQmDI6Cr4rcxTgRlLPmWKKJVo5HlxMKykS1ZtCERrOb8HiUGNJVeQj4TjdFvdd7eUVCtscdoWjM6wIWIxLhc6GEyCMVi+QKvhJidCABzLcHo895cikAOs6TNIkw80Cx7HeVPDN87JwfmIhJ/E6XrUK6Y0Mpjoxek8Z6ge3Mj0ewxvX6zUCGql+jzw/SQ6aMg3DzKnHi2urmBk11D9I+hmte92AiCsG0JFG9BAxNgsZho6KZLej/jXQiNgctrc34Y0ndweNLbZuKDcB36UjYjEOfxqGdWHNi3POCc0YZmHRHIsFwYqPsg6dS6J+yGwrnr4Y5quEUTGBiKHzsxd4ax0F8zhWfbOp+Mh11DOXFqmmfj1LZ0sEArcFNbemFKzuu3qJ0YQvivEyUpJVi5ub+XJ5fPsuCZZWW8Pf4Bhn/LtjViuK7YzzWX6n+vycoeYVWl5PVwarpjvf2MgzVoh0yP/k3osUBYWwOPCVatjFtsGUiu0GRYkNOLitK0TbKIf9Hzh6ijp2HEHfSesUxSDPU2y7onfCGiHYhPa4a+qEhhzh6c8Jmk2gepwOXaS88TjDjipriAVsbEYFKcVN3DzK20IwqLOi1D66Tk1quWdPceqD2nWp8I78EdzajwMYsQ1Wd6Sw4RfkbE2RDywHq55nELd3NVWmKZOSEr+UHGL8LEwzdcxKLTpbzJyNaBS50QozdlnWbmrPexiOb4YFkDR2aCJDRmPk2HHCPAkGIETZA/8LlFIshc639OQFDyGnu/PmAn2Ftq7GwxJWfbNaZhiO2tnFk7/52Yff/oPvIZMZts2jC5dQdyhsCewzBsGohtD4orxiqI1NkKA+kKiKrDJiT5iJVhn2sDhmANmCtxZl1mLnpvGtEggMwek98ClpmPsHwkbHLjEIP+csvA1Z05AANrYjpc1LllBXJpdj08PDMWdWZawUUttlyXqxdFgSZCIL0uf4T0wis96JHBTUEfFcPx1BoNooS8mfTkUFPcwz9gXZaCIWYzwaEokF76KlbANdihr6FXLC6GBkDQX8OdcobS9VrJ2c7hPmYizELAqrBad8NWX+CD22i73UNNRJjGYIYjCqVU3nIkSW8nkjTCjIBwdwFeY8kQnKpMQ2wLujiPtdcSIUF7/twJeEyx/u771672UwD9YbU9p9TNJ11AjMK0mhi2Ziko5nxodV6N0yprdmIi/xfcPxsJyPI91JkSYtXj+BU4dWE0WeuEBjXUjU8i9M4iMP9tn5xbFghTdiSz6ZyERONi/u3t4ebANzmHTR3KzJZMLJMxf6uHXUGuAi/AUrjBiRItk42WkdmKViX1VFrAeEXsxB2SwWi9jn8L/wOkbuqjxYsFoaLcaiibWDqh68cLxK+CnLqANAEsu426N+4xfsuokY92LzZY5l8n50SELJlQ5nBZCadQlo5b2DwzcGo85knbArh3sQp3DnzNAtbU16ir+FXCE+Y+q5Adj8grRvpHxuOaIvb+SAshMtWWXeuXhd5Diy12mblq2bEBzyt+K0vjwp28nqhzM3nBg0YciR3LocA0dBRhIoUCSEgefBd5R0iUgqGVem4/IX5NZhE7G7xIJlg66IV02H6E90bfz11W948ExocftYuTo8ObkO+cwudFapqIq3c83U4MBfcMEQDN7WbefCaic1eijg7iPjDfguWV7sDcazdZXorVy8CHr8EVY6V9VWb6q8K3INt2RRuPHi1XM8J1GpFwidPG8iboKOJ2lFrZIc2cKf4MTLM33uTrsKBdfxFWTWHMjB5eWlFHFld3nDOLRUgciLb4O5EuTWxT7mdDXWT5wiEUEX3aYCni6h8+UnzYdVZgnjkqiIOP/CrQFuO3PNb4RwJAmkKVIh9Rkvenl8t/In2T//Kfh8Fp8reXQRvk2F462pLQrNOaaYLFFhI3wx8TNE0IvCGeRYlO0wY+eonUub+KvFX3BHIGRt/5YTsvOQ7xJrQRQspnB4Xg+3EbmqKC0bsEHyFkmHqhCX6gjgAJ8bZzFUZBHARIpgxeeeZ2zEqxCfMHmZnIQ8L8QginVTBPhJA8+CCtkdBEAiHXcP+OH77Kh5RD1neshXNTuCxQ9m3k4D2Y6lHmIIUCiI2zK7/DvX7G2UPWYfiwR3q9gS7324jbC86FApmpPuEIxkEESUInkeQswxRCGAko9kW2wTHozGarsmKAIh2ZP4q8WfK2eP95SWIq46eESGjepdIqOp237EF+oCdUyMMmXZYgPahuk/8Pt4PBYFI34x3H9mfLUtRP6+qxhpPCLgvI1azZKon92RQZRPiVdHDOUL0wHy+47c2yjzFAt6LKzy4PFaLhJxOWNdaEnthGeRslqUxOoBNvKTB2jJR/vDzY6E9jpJR+nlpJ9Z1H8peEfOFGoUiMHn1C1lU1cWZ7Oh56GwV0V1SVD/VLbsxzzLKsVXjm/VhfRVLFu9oG9lrZT3EIMLFL84jac3xVpHfN7YVdc0VIjL0jaaBqvINMRaLbwRE5eMxBWh5tdfX1/zP4UgT0f0c9qD5fHB5TO4vovsgoCDs7RvyOQjyK4bJh4DQqg3PUGIRfHIVxZN7EWKNzgaCs+vl8+FdRD9rUNFCx1QaqZSzz3k68eKgfIFmms1JvRd8UenYRJdbNnhD3VHaQKVgEVsaosEFAtMhd5/8Dq/uG6RIyMtQVc7Fbho41MX31J8h16hOPv8n2TRPE16VMvekUJRWlgrZJORBnZA1jfsbHIYz7Eeu1NcIuW/SiDmgqPdRhM1VMizGxyV40dkybQjEVYVzcNlMeJQi9uEZDbQ/v4+Q274xSxzKBAbTIeyuyPxRBKoCeX2xBxj1IlkTxWzoWx7hFoEkX924T51IDrzbQLUMGgD0ZwLSGIqEXGyqJ/oJFfmK4h0Ok5NYoqyPy0mNB9IUJWGXnvN+gQZzDAb6IxnAmfKPhHBhPqCUPHTGMSqaXXk/YjKZ1RLbJpFvMRMpTSsgHHJ4yEhpjovZPTtcHlhLVm5spAwvA/puIWmto0mILAvLBpIBSeX3yO3yEvsJTRNZSMj5Ym1KqSXHAy4apGETqmyLEW6bVTJku/GAiSbyiStibBlBr1S4LgD/y4JuMR7cwKR8EVx3/YkBIod0WayXYsVqt97TePg6GsykpGvLEkpHaj0WCITEiytt7wT0TfRsvRefPJceoIfbBZiW6HJxzL8NTEkxNxDXg7386GccExiIQ8PEuJZrjKp3m8TqRIFIxp6R42F5eLIKYbfRV8sqHD5glrgVUJuG6sZOdxsp2RF5AuryGLKd06ZUiv6ArwHier7YOXisnCiUsU/Y4izC8R24rSpaECDjth/5MpigmOdLDfp71NhAjY1/dCibhvUpsKcHH/EzRY7chKRpmAuNETBvKCWiOgz7GZrRaBVKEtLQk7FCCW85gvlSqnIpdO9IwhhvOq4SQsT6tzkhAeA9wWiQ0fVQ3Kqic8MdVufqdmRp1iwXMAQyLp5wSI1FRa83zJWOgmxCsjJFPXkG1ZFPnRw20V7mSgfwbGPfs4zdSHoELfM+UkK9YjwQJxJUmF4emxx5O3xNV1IurKeg/eyjuEcbLz6XWBGlAuKGxS/zK+f5ZqiKHOUAIkcRVh7j1ChL9VGmSexnjyVXqntqbuOslPKhlJmT8m3cyf+435zVM9VVDlFXWDTyBnpgNRBWKhBxCCpUbAJKL6wBQh/gxPUUVMh6a/ndNKOPO387GWahszz+9uQM5A98q9RfeOgDs1asGv/H7ataSdgKwFmAAAAAElFTkSuQmCC&
name=&Image2& align=&bottom& width=&200&
height=&204& border=&0&&
working on the glacier in
Norway 2004.}

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