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The submission deals with extraction of human attributes from images. There is no new method, or an evaluation/comparison of several methods. The authors just demonstrate that such the task is possible to implement (with well established approaches), integrate with a query language, and use to identify images with human attributes that poses potential privacy-threatening aspects. While there is quite useful overview of the related work (which is, unfortunately, not well structured), the submission does have very low originality and the experimental results are not much useful (no metrics, no evaluation and comparison, no visible improvement), beyond the proof of existence. The presented results may be useful in the context of the project referred in the submission, but there is no point to  present them as a standalone achievement.