De-identification in multimedia content is the process of concealing the identities of individuals captured in a given set of data (images, video, audio, text), for the purpose of protecting their privacy. The fact that a person can be identified through different characteristics such as the facial appearance, voice, silhouette or gait, indicates that the de-identification process offers interdisciplinary challenges, involving various scientific areas such as image processing, speech analysis, video tracking and biometrics.

The workshop aims to address issues related to de-identification including scientific, technical, legal, ethical and societal aspects of person de-identification and reversible de-identification in multimedia content. The workshop seeks to bring together researchers, professionals, and practitioners to present and discuss recent developments and challenges in De-identification in Multimedia Content. Topics of interest include (but are not limited to):

•De-identification methods for biometric identifiers
o still face image de-identification,
o face de-identification in video,
o speaker de-identification,
o gait and gesture de-identification,
o fingerprint de-identification
o de-identification and reversible de-identification

•De-identification of soft biometric identifiers
o tattoo, birthmark and scar de-identification,
o silhouette de-identification,
o age and gender de-identification,
o eye color, height and weight de-identification

•Non-biometric data de-identification
o de-identification of dressing style,
o de-identification of hairstyle,
o de-identification of speech context and specific social and political context

•Ethical, societal and legal aspects of de-identification and reversible de-identification

•Other techniques for privacy protection in multimedia content

Important dates:
Paper submission: January 12, 2015
Notification of acceptance: February 9, 2015
Camera-ready deadline: February 18, 2015

Paper Submission:
Prospective authors are invited to submit original and unpublished work, in English, with up to 6 pages. Submissions will be accepted only in PDF format and should follow the instructions provided on the workshop web site. Accepted papers will be included in the Proceedings of IEEE FG2015 & Workshops and send for inclusion in IEEE Xplore.