{"id":3769,"date":"2026-05-29T03:31:00","date_gmt":"2026-05-28T19:31:00","guid":{"rendered":"http:\/\/www.magicandlove.com\/blog\/?p=3769"},"modified":"2026-05-31T05:19:17","modified_gmt":"2026-05-30T21:19:17","slug":"movement-in-time-part-2-video","status":"publish","type":"post","link":"http:\/\/www.magicandlove.com\/blog\/2026\/05\/29\/movement-in-time-part-2-video\/","title":{"rendered":"Movement in Time, Part 2 (video)"},"content":{"rendered":"\n

It is the collection of all testing, documentation videos for different versions of the Movement in Time, Part 2<\/em> artwork. Details of the artworks are available in my website at 2022 version<\/a>, 2021 Red Flag version<\/a>, 2020 live version<\/a>, 2019 Red Temple version<\/a>, 2016 original version<\/a>.<\/p>\n\n\n

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Movement in Time, Part 2, Testing 2<\/h2> \n \n This is another testing for the new version of Movement in Time, Part 2, using the original CVImage library for Processing and the dense optical flow function in OpenCV.<\/ayg-description>\n <\/div>\n <\/div>\n
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Movement in Time, Part 2, Testing 2<\/div>\n \n \n
This is another testing for the new version of Movement in Time, Part 2, using the original CVImage library for Processing and the dense optical flow function in OpenCV.<\/div>\n <\/div> \n<\/div> <\/div>\n
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Movement in Time, Part 2, Testing 3<\/div>\n \n \n
Testing 3 with PixelFlow library in Processing. It uses the optical flow and particles system to visualise the martial art fighting sequence from The Burning of Red Lotus Temple 1963.<\/div>\n <\/div> \n<\/div> <\/div>\n
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Movement in Time, Part 2 Testing 4<\/div>\n \n \n
Another testing with Processing and the PixelFlow library with the fighting sequence in the film The Burning of the Red Lotus Temple 1963.<\/div>\n <\/div> \n<\/div> <\/div>\n
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Movement in Time Part 2 Testing 5<\/div>\n \n \n
Another testing with PixelFlow library from Processing.org.<\/div>\n <\/div> \n<\/div> <\/div>\n
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Movement in Time Part 2 Testing 6<\/div>\n \n \n
This version summarised the optical flow data into a 5 x 5 grid system, with the magnitude and major direction of the motion.<\/div>\n <\/div> \n<\/div> <\/div>\n
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Movement in Time Part 2 Testing 7<\/div>\n \n \n
This is another version of the 5 x 5 grid summarising the optical flow data for matching against the Chinese calligraphy database.<\/div>\n <\/div> \n<\/div> <\/div>\n
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Movement in Time Part 2 Testing 8<\/div>\n \n \n
It is a testing version to render the script style Chinese calligraphy of the One Thousand Classics using Processing and the PixelFlow library.<\/div>\n <\/div> \n<\/div> <\/div>\n
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Movement in Time Part 2 Testing 9<\/div>\n \n \n
This one is the cloth simulation by PixelFlow library with Processing. It used the brush stroke as force to create the wrinkle.<\/div>\n <\/div> \n<\/div> <\/div>\n
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Movement in Time Part 2 Testing 11<\/div>\n \n \n
First prototype for the Movement in Time Part 2 new version. It uses the fighting sequence from the 1963 martial art film The Burning of Red Lotus Temple to generate …<\/span><\/span>cursive style Chinese calligraphy from a database of the One Thousand Classics.<\/span>Show More<\/a><\/div>\n <\/div> \n<\/div> <\/div>\n
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Movement in Time, Part II, preview 2<\/div>\n \n \n
It is a computational cinema artwork in which I used 4 recent Chinese martial art films fighting sequences to generate cursive style Chinese calligraphy. The custom software analysed the movement …<\/span><\/span>data with optical flow and matched against a database of 1000 digitised characters written in cursive calligraphic style.<\/span>Show More<\/a><\/div>\n <\/div> \n<\/div> <\/div>\n
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Movement in Time (Part 2) preview 1<\/div>\n \n \n
This is a preview version of the Movement in Time (Part 2) project. The work is a computational cinema project which I extracted live fighting sequences in popular Chinese martial …<\/span><\/span>art films. It used a custom software to analyse the movement data and matched against a database of Chinese cursive style calligraphy of 1000 characters.<\/span>Show More<\/a><\/div>\n <\/div> \n<\/div> <\/div>\n
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Cursive style Chinese calligraphy recognition test<\/div>\n \n \n
In this clip, I developed a testing software to match the live writing of Cursive style Chinese calligraphy against the database of the 1000 Classic text example.<\/div>\n <\/div> \n<\/div> <\/div>\n <\/div>\n \n
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