Personalized Photo Ranking and Selection System

Abstract

We have proposed a novel personalized ranking system for amateur photos. While the features used in our system are similar to previous works, new features such as texture, RGB color, portrait (through face detection), and black-and-white are included for individual preferences. Although automatically ranking award-wining professional photos may not be a sensible pursuit, such an approach may be reasonable for photos taken by amateurs, especially when individual preference is taken into account. We show that (1) The performance of our system in terms of precision-recall diagram and binary classification accuracy (93%) is close to the best results to date for both overall system and individual features. (2) Two personalized ranking user interfaces are provided: the feature-based and example-based. Both are effective in providing personalized preferences, and twice more people prefer example-based in our user study.

Paper

Paper

Demo Program

Submitted Version

1. There are around 17000 photos in the dataset.
2. The ranking results are listed in the left window.
3. The ranking is from left to right, and from top to bottom.
4. Only top 150 and bottom 150 photos are listed due to performance.
5. It takes about 20 seconds to initialize the UI. (2.4G Hz CPU)

Latest version (support user input)

1. User input is supported.
2. The latest photo will be shown in the left-top coner of the left window.
3. The rank and other information will be shown in the right-top of the window.
4. It takes 30~40 seconds to process an input photo and about 20 seconds to initialize the UI. (2.4G Hz CPU)
5. Matlab compiler runtime installation is required (provided).