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Selecting the best faces to index presentation videos
Proceedings of the 19th ACM international conference on Multimedia - MM '11
We propose a system to select the most representative faces in unstructured presentation videos with respect to two criteria: to optimize matching accuracy between pairs of face tracks, and to select humanly preferred face icons for indexing purposes. We first extract face tracks using state-of-theart face detection and tracking. A small subset of images are then selected per track in order to maximize matching accuracy between tracks. Finally, representative images are extracted for eachdoi:10.1145/2072298.2072040 dblp:conf/mm/MerlerK11 fatcat:hcsavuvzyzg4joboiuf7hdwlky