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Face annotation for personal photos using collaborative face recognition in online social networks

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4 Author(s)
Jaeyoung Choi ; Image & Video Syst. Lab., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea ; De Neve, W. ; Yong Man Ro ; Plataniotis, K.N.

Automatic face annotation (or tagging) facilitates improved retrieval and organization of personal photos in online social networks. In this paper, we present a new collaborative face recognition (FR) method that aims to improve face annotation accuracy. The proposed method makes efficient use of multiple FR engines and databases that are distributed over an online social network. The performance of our collaborative face recognition method was successfully evaluated using the standard MPEG-7 VCE-3 data set and a set of real-world personal photos from the Web. The efficacy of the proposed method is demonstrated in terms of comparative annotation performance against non-collaborative approaches utilizing a single FR engine and a single database only.

Published in:

Digital Signal Processing, 2009 16th International Conference on

Date of Conference:

5-7 July 2009