1. 1280 * 1024

    04:56

    from tom schofield Added 211 1 0

    1280 * 1024 takes advantange of the high definition of modern displays to show very high volumes of information simultaneously. A wikipedia file dump of huge amounts of crowd sourced information forms the basis of this piece. This data begins to take over the monitor pixel by pixel, populating its spaces with single dimensions of information transmitted with flashing light in morse code. The data builds until the full resolution of 1310720 points is achieved. The space of the display can be conceived as just that: space. It has finite dimensions in width and height but also in depth with each pixel being capable of a defined number of individual colours. At this point the relationship between software and hardware becomes blurred as that number of colours is related to the computers ability to control those hues. This demonstrates that our culture and machine systems are inseparable and often confused. To work with one you must engage with the other and it is this relationship, the relationship between culture and machine that is explored with this work. This is a small (640 * 480) non-live and massively shortened version of the piece.

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    • 鉛筆

      02:00

      from Tony Added

      Selection of graphic compositions built using S.A.R.A, my custom audio processing/VJing software written in c++/opengl/glsl All artworks were created using audio reactive algorithms and almost all of them are vector-based, hence scalable at any sizes. Watch http://vimeo.com/84838545 for a test-drive of S.A.R.A (Synchronous Audio Reactive Algorithms) ------------ Credits: Video, stills, artistic direction: Tony Broyez Music: 'Island Life' by I Am Robot And Proud

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      • ABC Campaign Pulse demo

        06:35

        from Monique Potts Added 110 1 0

        During the 2010 federal election campaign in Australia Australian Broadcasting Corporation (ABC) ran a site called ABC Campaign Pulse which looked to filter and track social media, sentiment, polls and bookies odds throughout the 6 week campaign. This video takes you through each of the modules on the site and how they work. Project co-produced by Angela Stengel and Monique Potts, voiceove by Monique Potts.

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        • A Computer Learning How To Snowboard (Screencast)

          01:41

          from Andreas Koller Added 1,072 16 0

          "A Computer Learning How To Snowboard" is an animated data visualisation showing the process of a computer exploring and understanding athletic movements. Launch visualisation http://code.andreaskoller.com/acomputerlearninghowtosnowboard This screencast shows the process with random values for velocity, take off strength, and X, Y, Z rotations. After eight attempts the best result is kept and repeatedly shown. This project also explores the human body as a visual instrument. How does the body, with its many inputs and outputs, perform as a tool for visual expression? What data does an athletic movement produce and how could it be made visible? How do we understand and remember complex movement patterns? And finally and hypothetically, can a computer enjoy sport? Can a machine feel excitement? How would that look like? The focus of this project was deliberately set on the above concept and the aesthetic aspects of motion rather than the physical accuracy of the simulation. Realised with Three.js More info http://andreaskoller.com/A-Computer-Learning-How-To-Snowboard

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          • A Computer Learning How To Snowboard (WIP Screencast)

            02:32

            from Andreas Koller Added 70 2 0

            This is a screencast of a work-in-progress. The final version can be seen here https://vimeo.com/86510265 This simulation and data visualisation shows the process of a computer exploring and understanding athletic movements. 16 attempts are made before the best jump gets selected and replayed from different perspectives. Realised with Three.js. Realtime video, 1920x1080, 2:32 min Exhibited at Henry Moore Gallery, School of Communication Work In Progress Show 2014, 22nd — 26th January 2014.

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            • A Day in QuakeNet

              12:02

              from QuakeNet Added 46.2K 72 5

              QuakeNet is the largest internet relay chat (IRC) Network in the world, this is an attempt to demonstrate the activity on the network (it looks much better full screen!). This is one day of activity, 24 hours, midnight to midnight in UTC, on the QuakeNet IRC network summarised into a 12 minute data visualisation. Each dot represents a new user connecting to the network, there are some 400 new connections per minute on average in this visualisation. Users are linked by joining shared channels. When a new user joins a shared channel it is joined by a line with all other users in the channel already that have had activity within the last 5 minutes. In effect, this shows real time communications between the users of QuakeNet over a single day. All data was collected strictly anonymously at a high level. The data snapshots were collected via a network service that already stores connection data in memory, anonymous network data dumps (purely stating 'this user is new' information) were collected at a regular interval for a 24 hour period. These data blocks were then pre-processed using one off Python scripts into a usable cohesive time-line of connections, and the users resolved to their geographic locations. The final visualisation was produced using processing over several hours (the original source is above 1080p) using an OpenGL renderer. The background map is a re-aligned and tweaked world map from the NASA blue marble project. If you have any comments or questions you can find me in #meeb on irc.quakenet.org

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              • A day on the London Underground

                02:00

                from Will Gallia Added 105K 178 3

                A visualisation of 562,145 journeys on the London Underground network, from a 5% sample of Oyster-card journeys during a week in 2009. The route that an individual took across the network was predicted by a custom written journey planner. Which correlated with TFLs recommendation. The journey planner and route finder were both written in Python and the visualisation was created using C++ with openFrameworks and GLSL for the position computation. For more information on the project visit: http://wgallia.com#!underground All the code is open source: https://github.com/whg/underground https://github.com/whg/underground-visualisation

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                • A day over the UK

                  01:47

                  from NATS Added 36.3K 70 0

                  This data visualisation shows the air traffic coming into, going out of and flying across the UK on a typical Summer day. It has been created using real data comprising 7,000 flights from a day in June as recorded by our radars and air traffic management systems. The camera has been fixed in one position and activity is shown at 800 times faster than real time. The time runs from midnight to midnight and shows the arrival of early morning traffic coming across the Atlantic in the early hours, the build up through the day and then the calming of flows into the night before the pattern repeats. NATS provides air traffic control services in UK Airspace 24x7x365. Find out more about NATS and Air Traffic Control at http://nats.aero and http://nats.aero/blog.

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                  • After the Revolution, Who Will Clean Up the Mess?

                    03:20

                    from Ellie Harrison Added 20 0 0

                    Ellie Harrison - 15 September 2014 The Scotsman report by Ray Philip in the run up to the Referendum on Scottish Independence on 18 September 2014, featuring my installation / event 'After the Revolution, Who Will Clean Up the Mess?' at Talbot Rice Gallery in Edinburgh. Read the article online here: www.scotsman.com/news/politics/top-stories/video-report-picking-up-the-pieces-after-the-vote-1-3542424 For more information please visit: www.ellieharrison.com/aftertherevolution

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