DATASET RELEASE
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We are delighted to announce the release of the MA14KD (Movie Attraction 14K Dataset) Dataset: Visual Attraction of 14000 Movie Trailers 
This dataset is intended to serve the community for research on Multimedia Retrieval, Multimedia Recommender Systems, and Computer Vision. 

SUMMARY
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MA14KD provides a set of “Attractiveness" features extracted from 14000 movie and tv series trailers. The movie IDs are in agreement with the movie IDs provided by a rating dataset, that contains millions of ratings and thousands of tags. 

INFORMATION
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MA14KD dataset provides the following 10 VISUAL features:
f1: Sharpness   
f2: Sharpness Variation  
f3: Contrast  
f4: RGB Contrast  
f5: Saturation  
f6: Saturation variation  
f7: Brightness 
f8: Colorfulness   
f9: Entropy  
f10: Naturalness  

DOWNLOAD LINKS
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The MA14KD [ORIGINAL] Dataset can be downloaded at: https://www.researchgate.net/publication/333579741_MA14KD_ORIGINAL_Dataset_Description_Visual_Attraction_of_Movie_Trailers
The [AGGREGATED] features of this dataset can be downloaded at: https://www.researchgate.net/publication/333579748_MA14KD_AGGREGATED_Dataset_Description_Visual_Attraction_of_Movie_Trailers

COLLABORATORS
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The list of collaborators is the following:
Mehdi Elahi: http://www.linkedin.com/in/mehdielahi 
Farshad B. Moghaddam: https://github.com/fmoghaddam 
Reza Hosseini https://www.linkedin.com/in/reza-hoseini/ 
Christoph Trattner: https://www.christophtrattner.info 
Marko Tkalčič: http://markotkalcic.com