MANUALLY-ASSISTED AUTOMATED INDEXING OF IMAGES USING FACIAL RECOGNITION

The present method relates to the manual assistance for the automated indexing (100) of a collection of images using facial recognition. In a first automated indexing step, automated indexing of faces within a collection of images is performed, creating sets of faces each of which comprises faces that are determined by the automated process to be representative of the same person. In a second splitting step (200), sets are displayed to an operator, who determines whether there are false-positive associations within a set. If false-positive associations are found, the faces representing different people are manually split into different sets, hi this way, there will be no false-positive associations within the collection of images, hi a third merging step (300), sets that have some degree of similarity are presented to the operator, who determines whether the two sets comprise representations of the same person. If so, the two sets are manually merged, thereby eliminating false-negative errors. In this way, all of the faces in the image collection can be completely and accurately indexed.