Face Quality Assessment System in Video Sequences
Biometrics and Identity Management
Asymmetry-Based Quality Assessment of Face Images
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
An evaluation of video-to-video face verification
IEEE Transactions on Information Forensics and Security
Selecting the best faces to index presentation videos
MM '11 Proceedings of the 19th ACM international conference on Multimedia
An automatic face log collection method for video sequence
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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This paper describes a construct that we call a face image log. Face image logs are collections of time stamped images representing faces detected in surveillance videos. The techniques demonstrated in this paper strive to construct face image logs that are complete and concise in the sense that the logs contain only the best images available for each individual observed. We begin by describing how to assess and compare the quality of face images. We then illustrate a robust method for selecting high quality images. This selection process takes into consideration the limitations inherent in existing face detection and person tracking techniques. Experimental results demonstrate that face logs constructed in this manner generally contain fewer than 5% of all detected faces, yet these faces are of high quality, and they represent all individuals detected in the video sequence.