Group items tagged

The edit decision list (EDL) system allows you to automatically skip or mute sections of videos during playback, based on a movie specific EDL configuration file. This is useful for those who may want to watch a film in "family-friendly" mode. You can cut out any violence, profanity, Jar-Jar Binks .. from a movie according to your own personal preferences. Aside from this, there are other uses, like automatically skipping over commercials in video files you watch. The EDL file format is pretty bare-bones. There is one command per line that indicates what to do (skip/mute) and when to do it (using pts in seconds).

A new world is coming. It's scary. Freaky. Over the freaky line, if you will. But it is coming. Investors like Ron Conway and Marc Andreessen are investing in it. Companies from Google to startups you've never heard of, like Wovyn or Highlight, are building it. With more than a couple of new ones already on the way that you'll hear about over the next six months.

"Interactive narrative systems attempt to tell stories to players capable of changing the direction and/or outcome of the story. Despite the growing importance of multiplayer social experiences in games, little research has focused on multiplayer interactive narrative experiences. We performed a preliminary study to determine how human directors design and execute multiplayer interactive story experiences in online and real world environments. Based on our observations, we developed the Multiplayer Storytelling Engine that manages a story world at the individual and group levels. Our flexible story representation enables human authors to naturally model multiplayer narrative experiences. An intelligent execution algorithm detects when the author's story representation fails to account for player behaviors and automatically generates a branch to restore the story to the authors' original intent, thus balancing authorability against robust multiplayer execution."

We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests. The proposed model uses dimensionality reduction for preprocessing the Likes data, which are then entered into logistic/linear regression to predict individual psychodemographic profiles from Likes. The model correctly discriminates between homosexual and heterosexual men in 88% of cases, African Americans and Caucasian Americans in 95% of cases, and between Democrat and Republican in 85% of cases. For the personality trait "Openness," prediction accuracy is close to the test-retest accuracy of a standard personality test. We give examples of associations between attributes and Likes and discuss implications for online personalization and privacy.

We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender.

"Real-time Content Analysis and Processing (ReCAP) is a project co-funded by the European Union's Horizon 2020 Programme. ReCAP will bring to market a range of automatic content analysis services to form an affordable, scalable and flexible platform designed to enhance metadata-driven media workflows and realise the value of historical content archives."

This is the first book to explore the cognitive science of effortless attention and action. Attention and action are generally understood to require effort, and the expectation is that under normal circumstances effort increases to meet rising demand. Sometimes, however, attention and action seem to flow effortlessly despite high demand. Effortless attention and action have been documented across a range of normal activities-ranging from rock climbing to chess playing-and yet fundamental questions about the cognitive science of effortlessness have gone largely unasked. This book draws from the disciplines of cognitive psychology, neurophysiology, behavioral psychology, genetics, philosophy, and cross-cultural studies. Starting from the premise that the phenomena of effortless attention and action provide an opportunity to test current models of attention and action, leading researchers from around the world examine topics including effort as a cognitive resource, the role of effort in decision-making, the neurophysiology of effortless attention and action, the role of automaticity in effortless action, expert performance in effortless action, and the neurophysiology and benefits of attentional training.