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Movie genres and beyond: An analytical survey of classification techniques

In today's world with a plethora of options available on movie content, it is very important to have models which could classify these large contents based on their genres. Movies are the most widely entertaining source all over the world. Every person has his own taste of movies, some feel action movies are better, some would say romantic. So the online platforms must have the collection of movies according to a particular category i.e. based on genres. This paper has proposed an extensive and exhaustive survey for various models and techniques, which could be applied to solve the challenges involved in performing the genre based classification. This paper summarizes and compares all those techniques by classifying them into four broad domains -through text mining, poster detection, audio and video features of the movies. These domains included various classifying techniques: Bi-directional LSTM, gram layer, scene categorization and CNN respectively. With such an extensive amount of work going in the field in the last not many years, this review paper will help specialists in the field of movie genre classification.