People in videos from people in pictures

Jehanzeb Abbas; Charlie K. Dagli; Thomas S. Huang

doi:10.1117/12.748267

15 November 2007 People in videos from people in pictures

Jehanzeb Abbas, Charlie K. Dagli, Thomas S. Huang

Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67880S (2007) https://doi.org/10.1117/12.748267
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

We propose an appearance based model for face recognition in news videos using an enormously large databank of still images. This is a step towards building an elaborate face-query system using multimodal audio-visual data. We use the fact that faces of the same person appear similar than of different people. We preprocess the videos, apply feature extraction, feature matching and a unique parallel line matching algorithm to develop a simple yet a powerful face recognition system. We tested our approach on real world data and the results show good performance both for high resolution still images and low resolution news videos without involving any training or tasks like face rectification, warping etc. It can be incorporated as part of a larger multimodal news video analysis system with problems of time alignment between text and faces. Our results show that this simple approach also works well where video modality is the only source of information.

Citation Download Citation

Jehanzeb Abbas, Charlie K. Dagli, and Thomas S. Huang "People in videos from people in pictures", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880S (15 November 2007); https://doi.org/10.1117/12.748267

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