Item Popularity Prediction in E-commerce Using Image Quality Feature Vectors.
Stephen ZakrewskyKamelia AryafarAli ShokoufandehPublished in: CoRR (2016)
Keyphrases
- image quality
- feature vectors
- quality prediction
- bit rate
- visual quality
- electronic commerce
- prediction accuracy
- quality assessment
- image data
- human visual system
- compression ratio
- lossy compression
- prediction error
- reconstructed image
- image resolution
- human visual sensitivity
- machine learning
- similarity measure
- high quality
- high image quality
- user preferences
- standard test images
- prediction model
- pixel values
- image quality measures
- feature space
- computational complexity
- feature extraction
- prediction algorithm
- euclidean distance
- rotation invariant
- support vector machine
- face images
- image quality assessment
- linear prediction
- inverse halftoning
- image fidelity
- feature set
- subband
- gaussian mixture model