A GPU-accelerated face annotation system for smartphones

Face annotation makes it easy to share and manage digital photos and videos. While state-of-the-art face recognition algorithms can achieve high accuracy to support automatic face annotation, their implementations on an embedded platform cannot achieve realtime performance due to the demanding computational requirement. However, the availability of an embedded GPU in most smartphones offers the opportunity to use it as an accelerator for the face recognition task. In this demonstration, we show that, with acceleration achieved by the embedded low-power GPU, a real-time face annotation system could be realized on an existing off-the-shelf smartphone. Categories and Subject Descriptors C.3 [Computer Systems Organization]: Special-purpose and Application-based Systems

• Type: Journal
• Year: 2010
• Where: MM
• Authors: Yi-Chu Wang, Sydney Pang, Kwang-Ting Cheng
• Keywords: Automatic Face Annotation, Face Annotation, Face Recognition, MM 2010, Multimedia