The controversy over film's plot, analysts stated that India has become more open to sensitive subjects.[36] Dr. Zakir Hussain, a senior analyst at the Indian Council of World Affairs was quoted saying, "As democratic traditions strengthen in the country, more and more such movies will be made and people will be educated. Haider is the first step in that direction." Director Bhardwaj faced criticism over the depiction of the armed forces in an allegedly unfair way as the film also portrayed scenes of torture in Indian army camps and abuse of human rights by Indian officials.[3] To this portrayal, Indian Twitter users, filled with sentiments brought up hashtagging of words "#BoycottHaider" that generated estimate 75,000 tweets since the film release. In reply to this criticism, people on Twitter started trending #HaiderTrueCinema which trended for 2 days and this caused #BoycottHaider to be withdrawn from the list of trending topics on Twitter.[37]
There's an obvious sense in which tech transforms racing sports, in making cars increasingly faster and safer. But it has also transformed the finance and crypto industry, with innovation bringing massive gains in terms of speed and performance. And it has also transformed the way movies are produced, edited, and distributed, with the time between ideation and distribution being reduced to all time lows. So how is tech powering change in sports, movies, and crypto?
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N2 - The introduction of streaming and VoD platforms such as Netflix, Hulu, and Youtube, has presented the film industry with a new way for how they can deliver their product to their audience. This has seen a rise in online videos and subsequently has made it harder for viewers to discover the right visual content for them. Traditional video search tools enable users to find visual content based on various metadata fields, such as genre or title, however, this information might not accurately represent the actual content in the movie. In this position paper we describe our idea of leveraging the richness of semantic technologies to (1) enrich movie metadata, and (2) create meaningful semantically-enriched descriptions of movie scenes using a variety of video and audio processing techniques. This information will enable us to create a Knowledge Graph (KG), which will be interlinked with other KGs available on the Web of Data resulting in a more comprehensive representation of these movies. The KG enables users or agents to search and reason within movies' metadata and scenes using both the implicit and explicit knowledge available in the graph and the interlinked resources, in a federated fashion
AB - The introduction of streaming and VoD platforms such as Netflix, Hulu, and Youtube, has presented the film industry with a new way for how they can deliver their product to their audience. This has seen a rise in online videos and subsequently has made it harder for viewers to discover the right visual content for them. Traditional video search tools enable users to find visual content based on various metadata fields, such as genre or title, however, this information might not accurately represent the actual content in the movie. In this position paper we describe our idea of leveraging the richness of semantic technologies to (1) enrich movie metadata, and (2) create meaningful semantically-enriched descriptions of movie scenes using a variety of video and audio processing techniques. This information will enable us to create a Knowledge Graph (KG), which will be interlinked with other KGs available on the Web of Data resulting in a more comprehensive representation of these movies. The KG enables users or agents to search and reason within movies' metadata and scenes using both the implicit and explicit knowledge available in the graph and the interlinked resources, in a federated fashion be457b7860
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