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Saturday, May 5, 2012

Research on Remix and Cultural Analtytics, Part 4, by Eduardo Navas





Image: Detail of sliced visualization of thirty video samples of Downfall remixes. See actual visualization below.

As part of my post doctoral research for The Department of Information Science and Media Studies at the University of Bergen, Norway, I am using cultural analytics techniques to analyze YouTube video remixes.  My research is done in collaboration with the Software Studies Lab at the University of California, San Diego. A big thank you to CRCA at Calit2 for providing a space for daily work during my stays in San Diego.

The following is an excerpt from an upcoming paper titled, “Modular Complexity and Remix: The Collapse of Time and Space into Search,” to be published in the peer review journal AnthroVision, Vol 1.1. A note will posted here, on Remix Theory, announcing when the complete paper is officially published.

The excerpt below is rather extensive for a blog post, but I find it necessary to share it in order to bring together elements discussed in previous posts on Remix and Cultural Analytics (see part 1 on the Charleston Mix, part 2 on Radiohead’s Lotus Flower, and part 3 on the Downfall parodies). The excerpt has been slightly edited to make direct reference to the previous postings, and therefore reads different from the version in the actual text, which makes reference to sections of the research paper where more extensive analysis is introduced. Consequently, in order for this post to make more sense, the previous three entries mentioned above should also be read.

The following excerpt references sliced visualizations of the three cases studies in order to analyze the patterns of remixing videos on YouTube. The reason for sharing part of my publication now is to bring together the observations made in previous postings, and to make evident how cultural analytics enables researchers invested in the digital humanities to examine cultural objects in new ways that were not possible prior to the digitalization process we have been experiencing for the last decades.

———–

How a meme evolves based on the first remixes that a user may find can be evaluated by developing visualizations of the three cases studies that show the editing of the video footage over time.  To accomplish this, I took the frames of thirty videos of each meme and sliced them in order to examine the types of pattern the editing actually takes.  What we find is that with the Charleston Remixes the video footage stays practically the same except for a few remixes in which the footage of Leon and James dancing was used selectively as part of bigger projects.  “Mr. Scruff - Get a Move on | Charleston videoclip” is one of these exceptions, in which the video is re-edited to match the sound (see slice detail below).  Another is “Charleston & Lindy Hop Dance ReMix - iLLiFieD video.mix (Version),” (also see below).



Image: A two column slice visualization of the 29 of 30 remixes (one remix was omitted because the footage is not the same performance.  That video is not relevant to evaluate how the video footage of this meme is left intact).  For a full list of this visualization visit: http://remixtheory.net/remixAnalytics/ and select “Charleston Video Slices.” View large version of this image.

Image: this is a slice visualization of “The Charleston and Lindy Hop Dance Remix.”  When comparing this sliced image to other slices in the two-column visualization above, one can notice the selective process with which footage from the Charleston Style was used.   This video is much longer than the original footage, and has been compacted in order to show how the video was selectively edited.  To view this remix, visit http://www.youtube.com/watch?v=POupa2sW1UI&feature=player_embedded. This video was uploaded to YouTube on May2, 2009. View large version of this image.


Image: this is a slice visualization of “Mr. Scruff remix.”  When comparing the sliced image to the other slices in the two columns visualization above, one can notice how the same footage was edited repeatedly to match the beat and sections of the song. This video is much longer than the original footage, and has been compacted in order to show how the video was selectively edited.   Visit http://www.youtube.com/watch?feature=player_embedded&v=Bx5-itIA0pQ.   This video was uploaded to YouTube on January 10, 2008. View large version of this image.


Image: A two-column visualization of Lotus Flower Remixes.  The original video by Radiohead is on the top-left.  Most of the videos sliced in this sample were uploaded within the first two weeks after the original video was uploaded by Radiohead on February 16, 2011. For a full list of this visualization visit: http://remixtheory.net/remixAnalytics/ and select “Lotus Flower Video Slices.” View large version of this image.


In the Lotus Flower Remixes (See image above) we can note that the editing of the videos is quite diverse; the footage is remixed (heavily edited) to match the beat and the overall feel of the selected songs, with the very first videos.

The Downfall remixes (see figure below) consists of video footage that for the most part has been left intact. What is remixed is the fake translation of Hitler’s rant.  The subtitles for Hitler are sometimes in the middle of the screen, in others at the bottom; sometimes the typeface is small, and at times large.  But in the end the video footage is left intact and the translations very much obey the rhythm of the original editing.


Image: A two-column visualization of The Downfall Parody remixes.  The original video with no subtitles is on the top-left.  Videos sliced in this sample were uploaded between 2007 and 2011.  At the moment it is not certain whether the 2007 upload was the first because many remixes have been taken down by YouTube.  For a full list of this visualization visit: http://remixtheory.net/remixAnalytics/ and select “Downfall Video Slices.” View large version of this image.


Image: Visualization of Downfall video, with proper English subtitles.  The thin horizontal white bars near the bottom of the frame are the subtitles.  To view this video visit: http://www.youtube.com/watch?v=4bmkUlXp5sk&feature=related.   Some of the remixes present the subtitles in yellow. View large version of this image.

 
  Image: visualization of “Hitler’s Reaction to the new Kiss album,” a video remix in which Hitler rants about the album’s title “Sonic Boom.”  The subtitles (the thin horizontal white bars) in this case move all over the frame.  To view this video visit: http://www.youtube.com/watch?v=nwOLfppXhsk&feature=youtu.be. View large version of this image.

We can note in the three case studies that the approach of remixing is in part defined by the way the original remix or footage was produced.  With the Charleston Remixes, most contributions leave the video footage intact.  No major editing took place until September 2007, that is a year and four months after the first upload.  With the Lotus Flower Remixes, editing of the footage is done from the very beginning, while with the Downfall parodies, it does not place at all.  Why would this be?

Based on the diagrams (see the link “visualization of links” for each case study on the page remixAnalytics) and patterns of editing that I present, we can note that the later videos are in fact responses to previous productions.  In the Charleston Remixes, the video footage is left intact because it is intact in the first remix.  With Lotus Flower, the original footage by Radiohead is heavily edited, which gives remixers the license to immediately manipulate the footage in selective fashion—by omitting some parts of the footage while repeating others to match the selected songs.  With the Downfall remixes, the result is similar to the Charleston Remix: the footage is practically left alone because the meme demands that the basis of the meme be that only the text be remixed; therefore, the only major shift takes place with the placement of translations on the screen: sometimes on the middle, but for the most part at the bottom.  The only other shift we can notice with the subtitles is that they may crossover from one shot to the next based on the emphasis of the content that the remixer wants to make.  But none of the Charleston and Downfall videos are as heavily edited as the Lotus Flower remixes.  It is also worth noting that these are all selective remixes, which means that they all are dependent on a clear reference to the original source.[1]   If such reference is lost, then, the remix withers, and would become either a badly concocted reference, or simply a product on the verge of plagiarism.

One last element that needs to be considered, which apparently affects the production of the memes, as is also argued by a study on YouTube funded by Telefonica [2], and also supported by the research of Jean Burgess and Joshua Green [3] is that due to the viral emphasis on YouTube, online users are most likely to find an already remixed version of a video, and not the original if the remix has enjoyed more views.  The exception to this is Lotus Flower, for which YouTube apparently always offers the original video as part of possible selections, on the first page of all results.  This is likely because given Radiohead’s popularity, their YouTube channel has a large number of views.  For the Charleston, this is not always the case, as the original footage sometimes will not come up with certain video remixes.  For the Downfall meme, it is even more difficult to speculate how videos produced before 2007 affect users who currently search for the meme, because they are likely to find videos that are popular, but not necessarily the newest nor the oldest—but rather the most relevant based on the terms used for the search in relation to the number of views.


[1] For the full definition of the selective remix see “Selective and Reflexive Mashups.”

[2] Meeyoung Cha, Haewoon Kwak, Pablo Rodriguez, Yong-Yeol Ahn, and Sue Moon, “I Tube, You Tube, Everybody Tubes: Analyzing the World’s Largest User Generated Content Video System,” http://an.kaist.ac.kr/traces/papers/imc131-cha.pdf

[3] For Burgess and Green this is evident based on their assessment of the emphasis of presenting popular videos first, and the fact that YouTube members deliberately find ways to promote their videos to become as popular as possible. See Jean Burgess & Joshua Green, YouTube: Online Video and Participatory Culture (Cambridge: Polity, 2010), 74.

The Evolution of Video Game Controllers visualization


SOURCE: visual.ly

Browse more Gaming infographics.



animated visualization of Arizona Sentinel weekly, 1872-1911


UCSD undergraduate Cyrus Kiani added a new video to his already amazing work visualizing the history of American Newspapers using the collection at Library of Congress.

The new video shows evolution across 1962 front pages of Arizona Sentinel weekly, 1872-1911.

The Arizona Sentinel : 1872-1911

Place of publication: Arizona City [Yuma], Yuma County, A.T. [ Ariz.]

Frequency: Weekly

Language:English

sn 84021912

Chronicling America
Library of Congress
chroniclingamerica.loc.gov


Monday, April 30, 2012

Center for Research in Computing and the Arts: 40th Anniversary Celebration

Join us on Tuesday May 1 to celebrate 40 years of Center for Research in Computing and the Arts (CRCA) at UCSD:

posterfinal-4

Demolist

Wednesday, April 25, 2012

Impressionism visualizations: final class project by Megan O'Rourke


Previously we featured visualizations of selected paintings by Impressionist artists created by Megan O'Rourke in my undergraduate class at UCSD (Winter 2012). One visualization compared works of artists using multiple image plots; the second used color histograms to show the same data in a different way.

Here is Megan's final class project which extends her investigation into new areas: comparing how different artists represented faces using image averaging, and visualizing evolution of their paintings over time in relation to brightness, saturation and hue.

To measure image properties used for visualizations, Megan used ImageMeasure macro which we distributed as part of our free ImagePlot software.

(CLICK ON EACH IMAGE BELOW TO SEE A HIGHER RESOLUTION VERSION)


Impressionist Portraits

Impressionism Sparklines

Impressionist Color Sparklines

Explanation of how this visualization was generated

Project text

Friday, April 20, 2012

Software Studies Initiative awarded $477,000 grant from Mellon Foundation


Project name:

Tools for the Analysis and Visualization of Large Image and Video Collections for the Humanities


Project team:

PI: Dr. Lev Manovich, Professor of Visual Arts, University of California, San Diego (UCSD);
Director, Software Studies Initiative, California Institute for Telecommunications and Information Technology (Calit2.

Almila Akdag, Postdoctoral Researcher, e-Humanities Group, The Royal Netherlands Academy of Arts and Sciences; Visiting Scholar, Visual Arts and Communication Design, Sabanci University, Istanbul, Turkey.

Loretta Auvil, Senior Project Coordinator at Illinois Informatics Institute, University of Illinois; SEASR co-PI.

Jeremy Douglass, Technical Director, Software Studies Initiative, UCSD.

Elizabeth Losh, Director of Academic Programs, Sixth College, Program in Culture, Art, and Technology, UCSD.


Project summary:

Since 2008, Software Studies Initiative at California Institute for Telecommunications and Information Technology (Calit2) and University of California, San Diego (UCSD) has been developing a comprehensive set of software tools for the quantitative analysis and visualization of large collections of images and video. The tools were designed for academic researchers in the humanities, and have already been used by scholars in a number of disciplines including art history, archeology, film and media studies, dance studies, and game studies. We have also been working with a number of prominent cultural institutions and collections including the Library of Congress, Getty Research Institute, the Austrian Film Museum, and the Netherlands Institute for Sound and Image, in using our techniques with their collections and data sets. The software development and its applications has received support from the National Endowment for the Humanities (NEH), the National Science Foundation (NSF), the University of California Humanities Research Institute (UCHRI), UC San Diego, and the California Institute for Telecommunications & Information Technologies (Calit2).

In our new three year project funded by $477,000 grant from The Andrew W. Mellon Foundation, we will work to fully integrate our techniques and tools into the SEASR/Meandre environment, a major platform for digital humanities research developed with key support from the Andrew W. Mellon Foundation. The integrated tools will come with comprehensive documentation and a set of examples covering a number of fields in the humanities and humanistic social sciences. This integration will address a current goal of SEASR to “continue to evolve to include processing of images and other multimedia data formats.” We anticipate these tools being used by an ever-expanding range of people, including academics and students in the humanities and humanistic social sciences, museum curators and visitors, and cultural creators who want to better understand how their work fits within a larger context

In addition to making available to others software tools, accessible user interfaces, documentation, and examples, Software Studies Initiative will also collaborate with other researchers to carry out large-scale case studies. Each case study will demonstrate how, within a particular field, quantitative analysis and visualization of images and/or video can open new research possibilities for that field. Each study will include documentation of the appropriate SEASR workflows, a paper describing the data, the methods used, the findings, and high-resolution still and animated visualizations:

Almila Akdag will lead the case study which will combine network analysis and image processing to explore a few million images and user data from deviantArt (the most popular social network for user-generated art).

Jeremy Douglass will lead the analysis of our one million manga images dataset.

Elizabeth Losh will lead the case study which applies our methods to thousands of hours of political video on the web and TV news.

Over 200 undergraduate and graduate UCSD students will participate in the project over its three year period, exploring selected data sets as part of their classes in visualization and computational art history, and digital humanities.


Contact:

Lev Manovich, Director, Software Studies Initiative [manovich@ucsd.edu]


More information:

Our methods for the analysis and visualization of large visual data sets

Our projects (analysis of image sets covering video games, visual art, graphic design, maagzines, newspapers, comic books, TV, films, animation, motion graphics.)

http://www.flickr.com/photos/culturevis/collections/ (Over 900 visualizations and sketches from our lab)

Our open source software tools (digital image processing and visualization of image sets of any size.)

Case study: One million manga pages

Pilot project: Digging Into Global News




Wednesday, April 18, 2012

Manovich's two day seminar in MediaArtHistories program, Krems, Austria, May 14-15



Two day seminar with Lev MANOVICH on the 10-year evolution from "Language of New Media
(2001)" to "Software Takes Command" and Cultural Annalytics" - May 14-15, 2012.
Center for Image Science, Danube University, Krems, Austria.

day 1: new media theory and software studies (based on The Language
of New Media and Software Takes Command books)

day 2: new methods for the study of visual media (based on cultural
analytics articles and projects at softwarestudies.com)


Other lecturers and excursion for May 2012 start of MediaArtHistories program:

In affiliation with Leonardo / ISAST and UTD, Roger MALINA maps the history of Leonardo and the future of the Art, Sciences & Technology fields.

Jussi PARIKKA’s innovative scholarship on Insect Media.

Linz excursion - Nina WENHART takes students behind the scenes of Ars Electronica, Stadtwerkstatt and more; meeting with the founders & next generation of the Ars Electronica Festival, Prix, Centers, and Lab: Christine SCHÖPF, Hannes LEOPOLDSEDER, Horst HOERTNER, & Christopher LINDINGER.



http://www.donau-uni.ac.at/mediaarthistories
http://www.virtualart.at
www.mediaarthistory.org
http://www.donau-uni.ac.at/telelectures


Contact - application information:
Andrea Haberson
andrea.haberson@donau-uni.ac.at

Contact - course and content questions
Wendy Coones
wendy.coones@donau-uni.ac.at




MEDIA.ART.HISTORIES, MA - The MediaArtHistories learning environment at the Center for Image Science integrates world-wide leading scholars from the field into a faculty working intensely with the students in seminars and workshops. The MediaArtHistories masters program conveys the most important developments of contemporary art through a network of renowned international theorists, artists, curators and many others. Historical derivations that go far back into art and media history are tied in intriguing ways to digital art. Key approaches and methods from Image Science, Media Archaeology and the History of Science & Technology will be discussed. Media Art History offers a basis for understanding evolutionary history of audiovisual media, from the Laterna Magica to the Panorama, Phantasmagoria, Film, and the Virtual Art of recent decades. Using online databases and other modern aids, knowledge of computer animation, net art, interactive, telematic and genetic art as well as the most recent reflections on nano art, CAVE installations, augmented reality and wearables are introduced.

FACULTY - Lev MANOVICH, Roger MALINA, Jussi PARIKKA, Ramón REICHERT, Nina CZEDLEDY, Nina WENHART, Christine SCHÖPF, Hannes LEOPOLDSEDER, Horst HOERTNER, Christopher LINDINGER -- Erkki HUHTAMO, Christiane PAUL, Jens HAUSER, Jeffrey SHAW, Gerfried STOCKER, Christa SOMMERER & Laurent MIGNONNEAU, Sean CUBITT, Paul SERMON, Oliver GRAU, Edward SHANKEN, KNOWBOTIC RESEARCH, Frieder NAKE, Machiko KUSAHARA, Nat MULLER, Gunalan NADARAJAN, Monika FLEISCHMANN, Margit ROSEN, Andreas LANGE, Miklos PÉTÉRNAK, Martina LEEKER, Christopher SALTER, Darko FRITZ, Slavko KACUNKO, Irina ARISTARKHOVA, and others.

STUDENTS - The course is held in English and is low-residency with rolling admissions. Acceptance into the program requires a previous degree at or above the Bachelors level, or the equivalent through relevant work experience. International students come from countries like Canada, Hong Kong, Ukraine, USA, Japan, , Brazil, Iceland, Russia, Egypt, Germany, & Korea and Mexico.

DANUBE UNIVERSITY - located in the UNESCO world heritage Wachau, near Vienna is the first public university in Europe which specializes in university-based advanced education offering low-residency degree programs for working professionals and lifelong learners.

CENTER FOR IMAGE SCIENCE - international experts analyze the image worlds of art, science, politics and economy and elucidate how they originated, became established and how they have stood the test of time. The innovative approach at the Center for Image Science is reinforced by praxis-oriented study. Without interrupting their career, students have the opportunity gain key qualifications for the contemporary art and media marketplace through modular courses in internationally unique surroundings. Students in the MediaArtHistories, MA program come twice a year for 2-week blocks to the CIS in the 1000-year-old Monastery Göttweig, and the newly built Danube University main campus.

The next Module is May 4-15, 2012.