Displaying 1421 - 1430 of 245097
Title ID Year Country Genre Genre ID Technologies referenced Technologies referenced id Technologies used Technologies used id Topic Topic id Sentiment Sentiment id Situation machine vision is used in Situation machine vision is used in ID Characters Characters ID
Infinite Detail: A Novel 655 Canada Narrative 20001 Drones 200079 City 2000311 Intrusive 2000209 Infinite Detail (AR art and ads) 657 Rushdi Mannan 653
Infinite Detail: A Novel 655 Canada Narrative 20001 Drones 200079 City 2000311 Subversive 2000210 Infinite Detail (Black Lives Matter protest with AR and drones) 654 Rushdi Mannan 653
Infinite Detail: A Novel 655 Canada Narrative 20001 Drones 200079 City 2000311 Subversive 2000210 Infinite Detail (Selfie while being held up in the airport) 1639 Rushdi Mannan 653
Infinite Detail: A Novel 655 Canada Narrative 20001 Drones 200079 City 2000311 Subversive 2000210 Infinite Detail (AR art and ads) 657 Rushdi Mannan 653
Infinite Detail: A Novel 655 Canada Narrative 20001 Facial recognition 20007 City 2000311 Dangerous 2000129 Infinite Detail (Black Lives Matter protest with AR and drones) 654 Rushdi Mannan 653
Infinite Detail: A Novel 655 Canada Narrative 20001 Facial recognition 20007 City 2000311 Dangerous 2000129 Infinite Detail (Selfie while being held up in the airport) 1639 Rushdi Mannan 653
Infinite Detail: A Novel 655 Canada Narrative 20001 Facial recognition 20007 City 2000311 Dangerous 2000129 Infinite Detail (AR art and ads) 657 Rushdi Mannan 653
Infinite Detail: A Novel 655 Canada Narrative 20001 Facial recognition 20007 City 2000311 Exciting 200097 Infinite Detail (Black Lives Matter protest with AR and drones) 654 Rushdi Mannan 653
Infinite Detail: A Novel 655 Canada Narrative 20001 Facial recognition 20007 City 2000311 Exciting 200097 Infinite Detail (Selfie while being held up in the airport) 1639 Rushdi Mannan 653
Infinite Detail: A Novel 655 Canada Narrative 20001 Facial recognition 20007 City 2000311 Exciting 200097 Infinite Detail (AR art and ads) 657 Rushdi Mannan 653
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This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771800)