Automatic Analysis of Facial Expressions: The State of the Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
Facial expression recognition using a dynamic model and motion energy
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Very Low Frame-Rate Video Streaming For Face-to-Face Teleconference
DCC '05 Proceedings of the Data Compression Conference
Particle Video: Long-Range Motion Estimation using Point Trajectories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Data-driven enhancement of facial attractiveness
ACM SIGGRAPH 2008 papers
Towards computational models of the visual aesthetic appeal of consumer videos
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Predicting facial beauty without landmarks
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
What makes Paris look like Paris?
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
All smiles: automatic photo enhancement by facial expression analysis
Proceedings of the 9th European Conference on Visual Media Production
Finding happiest moments in a social context
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
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In this paper, we train a computer to select still frames from video that work well as candid portraits. Because of the subjective nature of this task, we conduct a human subjects study to collect ratings of video frames across multiple videos. Then, we compute a number of features and train a model to predict the average rating of a video frame. We evaluate our model with cross-validation, and show that it is better able to select quality still frames than previous techniques, such as simply omitting frames that contain blinking or motion blur, or selecting only smiles. We also evaluate our technique qualitatively on videos that were not part of our validation set, and were taken outdoors and under different lighting conditions.