The fact that the picture was shared online has been an important factor from the start of the case, overshadowing even the physical elements of the story such as Mr. Slater is a British citizen, any future litigation could take place in the United Kingdom. ![]() The plaintiffs (PETA) claimed that this was enough to grant them standing in the United States. Slater has published a book called Wildlife Personalities using the self-publishing service Blurb, a Delaware company that ships its printed material from a San Francisco warehouse. The Naruto case took place in a California court because Mr. But where could this lawsuit take place? Jurisdiction Slater hinted that he is thinking of suing Wikipedia for copyright infringement. This would seem to be the end of the monkey selfie case, but in a recent interview Mr. While the exact terms of the settlement are unknown, lawyers for PETA have said that the deal includes a commitment from the photographer to pay 25 percent of all future royalty revenue to the monkey sanctuary where Naruto lives. Somewhat disappointingly, however, the drama was cut short as the parties reached a settlement out of court. In January 2016, the trial judge dismissed the action on the basis that even if Naruto had taken the pictures by “independent, autonomous action,” the suit could not continue as animals do not have standing in a court of law and therefore cannot sue for copyright infringement.Īstoundingly, PETA appealed the dismissal, in the Court of Appeals of the 9th Circuit, and those following the case were treated to the spectacle of US Federal Court judges and lawyers making monkey jokes and discussing whether PETA had identified the right monkey. Slater, resulting in original works of authorship not by Mr. Slater in a California court on behalf of the monkey (named Naruto in the suit) to assert copyright over the picture, claiming that the selfie “resulted from a series of purposeful and voluntary actions by Naruto, unaided by Mr. Then, in September 2015, the campaign group People for the Ethical Treatment of Animals (PETA) sued Mr. Slater tried to get the picture removed, Wikipedia did not relent, and the so-called monkey selfie is still listed on that site as public domain material. Slater and Wikipedia when the online encyclopaedia uploaded the picture and tagged it as being in the public domain, reasoning that monkeys cannot own copyright. In 2014, it triggered a dispute between Mr. However, the popularity of the photos, came at a price. Eventually, it was first picked up and published by the Daily Mail as a feature story, and then went viral. He imagined it appearing on the front of National Geographic, so he sent it and a few others to his agent, who then circulated them to a number of news sources. Slater claims that one of these images was an astounding, once-in-a-lifetime shot that captured an expression of pure joy and self-awareness on the monkey’s face. (photo: © David Slater / Wildlife Personalities Ltd). Wikimedia Commons over its copyright status Of a legal row between UK wildlife photographer David Slater and Such automated analysis unveils the future potential of large-scale longitudinal video archives to address fundamental questions in behavior and conservation.This image of a female crested black macaque monkey is at the heart The tools we developed enable easy processing and annotation of video datasets, including those from other species. Using the identified faces, we generated co-occurrence matrices to trace changes in the social network structure of an aging population. ![]() In a 14-year dataset yielding 10 million face images from 23 individuals over 50 hours of footage, we obtained an overall accuracy of 92.5% for identity recognition and 96.2% for sex recognition. We present a deep convolutional neural network (CNN) approach that provides a fully automated pipeline for face detection, tracking, and recognition of wild chimpanzees from long-term video records. Video recording is now ubiquitous in the study of animal behavior, but its analysis on a large scale is prohibited by the time and resources needed to manually process large volumes of data.
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