Data Mining 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. 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. 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 following excerpt references sliced visualizations of the three cases studies in order to analyze the patterns of remixing videos on YouTube.
Developing an Entrepreneurial Mindset: Culture of Curiosity, Shared Language and Motivation | Entrepreneur the Arts The last class of The IAE’s first module just finished yesterday. For the entire past three months we have been exploring who we are, how we communicate, how our lives are constructed and what matters most to us. In our classroom we have been learning how to develop a culture of curiosity, shared language, increase our recognition of patterns, and explore what triggers our own motivation- all essential ingredients to begin to develop an entrepreneurial mindset. A great deal of our learning has been done through experiences of the learning. Artists learn best this way. And while I had never, until I conceived the IAE, attempted to construct as much of the curriculum as possible in this way, it is highly impact filled and TOTALLY worth all of the effort to create. At the end of each weekend of class we synthesize our learning. Here is our final learning wall for the end of our 1st module of class. In the end, what matters is not what we know.
How Do You Create A Culture Of Innovation? This is the third part in a series by Scott Anthony, author of The Little Black Book Of Innovation. It sounds so seductive: a “culture of innovation.” The three words immediately conjure up images of innovation savants like 3M, Pixar, Apple, and Google--the sorts of places where innovation isn’t an unnatural act, but part of the very fabric of a company. While culture is a complicated cocktail, four ingredients propel an organization forward: the right people, appropriate rewards and incentives, a common language, and leadership role-modeling. The Innovator’s DNA Has Four Components If you ask most people what makes a great innovator, the most common response is innate gifts from parents or a higher power. At the core is what the professors call “associational thinking.” Questioning: Asking probing questions that impose or remove constraints. Most organizations have people who follow these behaviors--even if they aren’t immediately obvious to senior leadership. Then it dawned on me.
With mobile tech, mapping a city’s emotions, memories PHILADELPHIA -- What can technologies do for us to help us understand what's going on in the city? University of Pennsylvania urban planning professor Amy Hillier took to the stage here at the second annual TEDxPhilly conference on Tuesday to demonstrate how technology could one day help us look beyond statistics to visualize the very experience of a city. "Could we map emotion? Memory? Today's geographic information system, or GIS, technology allows us to map the visible city -- streets, sidewalks, buildings -- that we see when we walk around. "Once upon a time, this was magnificent," Hillier said. But what does the city look like beneath the surface? "The city I'm interested in is the city we don't see," Hillier said. But the third step, arguably the most important, is the one that no one can see but everyone can feel: the societal impact of those other layers. "Neighborhoods shape us, and we also shape our neighborhoods," she said. How does race or income affect your opportunities?
Japanese Scientists Create Touchable Holograms // Current To Our Faithful Current.com Users: Current's run has ended after eight exciting years on air and online. The Current TV staff has appreciated your interest, support, participation and unflagging loyalty over the years. Your contributions helped make Current.com a vibrant place for discussing thousands of interesting stories, and your continued viewership motivated us to keep innovating and find new ways to reflect the voice of the people. We now welcome the on-air and digital presence of Al Jazeera America, a new news network committed to reporting on and investigating real stories affecting the lives of everyday Americans in every corner of the country. Thank you for inspiring and challenging us. – The Current TV Staff
Predator takes visual object tracking to new heights – Computer Chips & Hardware Technology Cameras have slowly made their way into the portable gadgets we all carry around with us and not having a camera in a new device is viewed as a missing feature. It’s got to the point now where the latest smartphones even have two cameras so as to make for better video chat. But while the prevalence and quality of the cameras has gone up, the software still lags behind in terms of being able to identify and track objects in any real-time or captured footage. That is about to change due to the work of Czech student Zdeneki Kalai. Working on his Ph.D at the University of Surrey he has created a new visual object tracking algorithm called Predator that blows away everything that has come before it in the consumer-space at least. This algorithm not only tracks, it learns the more it gets used. Kalai believes what he has created, a combination of tracking, learning, and detection is completely unique and allows for a whole new set of functionality to be applied when looking at video feeds.
Blog » Blog Archive » Pimp up your camera with Arduino timelapse video tutorial – auch auf Deutsch Pimp up your camera with Arduino timelapse video tutorial – auch auf Deutsch Zoe Romano — May 25th, 2013 Last month we launched the first of a series of tutorials hosted on our Youtube Channel and created by Max of MaxTechTV in german language. Today we are publishing the second video called “Pimp-up your camera with an Arduino timelapse“. Enjoy the tutorial below and share with us the results of your experimentations! Letzten Monat haben wir das erste einer Reihe von Video-Tutorials auf unserem YouTube Kanal veröffentlicht. Heute veröffentlichen wir das zweite Video mit dem Titel “Erstelle tolle Zeitrafferaufnahmen mit deiner Kamera & Arduino”.
Markov chain A simple two-state Markov chain A Markov chain (discrete-time Markov chain or DTMC[1]), named after Andrey Markov, is a mathematical system that undergoes transitions from one state to another on a state space. It is a random process usually characterized as memoryless: the next state depends only on the current state and not on the sequence of events that preceded it. Introduction[edit] A Markov chain is a stochastic process with the Markov property. In literature, different Markov processes are designated as "Markov chains". While the time parameter definition is mostly agreed upon to mean discrete-time, the Markov chain state space does not have an established definition: the term may refer to a process on an arbitrarily general state space.[5] However, many uses of Markov chains employ finite or countable (or discrete on the real line) state spaces, which have a more straightforward statistical analysis. The changes of state of the system are called transitions. . . is defined, while
flow no. 1 | kinect projector dance | princeMio flow #1 This choreography is about the duett of dance and interactive media. My ispiration is to investigate different possibilities to melt organic hiphop dance with projected light – searching for new shapes, transisition, identities and meanings. It is a portray of urban artists giving a computer the acces to their very private natural flow. Dancers follow their own flow. The flow series contains a number of choreographic and interactive media productions, searching for different digital illustrations of dancing bodies. The Installation This low weight setup consists of a kinect camera capturing the dancers movements, a notebook to evaluate the captured information and a projector to display the interactive graphics. Inspiration Projection and dance has melted to stunning experiences. Within the upcoming flow series i am interested to investigate the benefits and limitations of projected graphics and how they can be applied to the flow of urban dances like hiphop. Dance Software