Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose an approach for violence analysis of movies in a multi-modal (visual and audio) manner with one-class and two-class support vector machine (SVM).  use the scale-invariant feature transform (SIFT) features with the Bag-of-Words (BoW) approach for visual content description of movies, where audio content description is performed with the mel-frequency cepstral coecients (MFCCs) features.  investigate the performance of combining visual and audio features in an early fusion manner to describe the violence in movies. The experimental results suggest that one-class SVM is a promising approach for the task.
['Esra Acar', 'Stephan Spiegel', 'Sahin Albayrak']
I am writing a research paper on a idea MediaEval 2011 Affect Task: Violent Scene Detection combining Audio and Visual Features with SVM
[{"from": "human", "value": "I am writing a research paper on a idea MediaEval 2011 Affect Task: Violent Scene Detection combining Audio and Visual Features with SVM"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose an approach for violence analysis of movies in a multi-modal (visual and audio) manner with one-class and two-class support vector machine (SVM).  use the scale-invariant feature transform (SIFT) features with the Bag-of-Words (BoW) approach for visual content description of movies, where audio content description is performed with the mel-frequency cepstral coecients (MFCCs) features.  investigate the performance of combining visual and audio features in an early fusion manner to describe the violence in movies. The experimental results suggest that one-class SVM is a promising approach for the task."}]