Face search in encrypted domain
Visual information of images and videos usually is encrypted for the purposes of security applications. Straightforward manipulations on the encrypted data without requiring any decryption have the advantage of speed over performing those operations in spatial, temporal, frequency or compressed domain. In this paper, we will investigate encrypted image search. More specifically, given a face image as the target object, we search it amongst encrypted images. We accomplish the search by using a novel method that extracts features and locates the face object region within the given encrypted image. We evaluate the search results by using precision and recall as well as F-measure. Our experiments reveal that there exists a trade-off between the quality of search and the quality of encryption, namely, stronger encryption leads to poorer search results.