MA14KD RELEASE: Visual Attraction of 14000 Movie Trailer

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