The Community for Technology Leaders
RSS Icon
Issue No.03 - July-Sept. (2012 vol.19)
pp: 34-41
Abhinav Dhall , Australian National University
Roland Goecke , University of Canberra, Austrlia
Simon Lucey , Commonwealth Scientific and Industrial Research Organization (CSIRO)
Tom Gedeon , Australian National University
Two large facial-expression databases depicting challenging real-world conditions were constructed using a semi-automatic approach via a recommender system based on subtitles.
Databases, Motion pictures, Image retrieval, Face recognition, Large-scale systems, Facial features, emotion database, multimedia, large-scale multimedia data, facial expression recognition, large-scale database, real-world conditions
Abhinav Dhall, Roland Goecke, Simon Lucey, Tom Gedeon, "Collecting Large, Richly Annotated Facial-Expression Databases from Movies", IEEE MultiMedia, vol.19, no. 3, pp. 34-41, July-Sept. 2012, doi:10.1109/MMUL.2012.26
1. G.B. Huang et al., Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments, tech. report 07-49, Univ. of Massachusetts, Amherst, 2007.
2. A. Dhall et al., "Static Facial Expression Analysis in Tough Conditions: Data, Evaluation Protocol and Benchmark," Proc. IEEE Int'l Conf. Computer Vision Workshop (BeFIT), IEEE Press, 2011, pp. 2106–2112.
3. P. Lucey et al., "The Extended Cohn-Kanade Dataset (CK+): A Complete Dataset for Action Unit and Emotion-Specified Expression," Proc. IEEE Conf. Computer Vision and Pattern Recognition Workshops (CVPR4HB), IEEE CS Press, 2010, pp. 94–101.
4. R. Gross et al., "Multi-PIE," Proc. 8th IEEE Int'l Conf. Automatic Face and Gesture Recognition (FG), 2008, pp. 1–8, doi:10.1109/AFGR.2008.4813399.
5. M. Pantic et al., "Web-Based Database for Facial Expression Analysis," Proc. IEEE Int'l Conf. Multimedia and Expo (ICME), IEEE CS Press, 2005, pp. 317–321.
6. M.S. Bartlett et al., "Automatic Recognition of Facial Actions in Spontaneous Expressions," J. Multimedia, vol. 1, no. 6, 2006, pp. 22–35.
7. E. Douglas-Cowie, R. Cowie, and M. Schröder, "A New Emotion Database: Considerations, Sources and Scope," Proc. ISCA ITRW on Speech and Emotion, 2000, pp. 39–44.
8. M.J. Lyons et al., "Coding Facial Expressions with Gabor Wavelets," Proc. IEEE Int'l Conf. Automatic Face Gesture Recognition and Workshops (FG), IEEE CS Press, 1998, p. 200.
9. F. Wallhoff, "Facial Expressions and Emotion Database," 2006,
10. T. Bänziger and K. Scherer, "Introducing the Geneva Multimodal Emotion Portrayal (GEMEP) Corpus," Blueprint for Affective Computing: A Sourcebook, K. Scherer, T. Bänziger, and E. Roesch eds., Oxford Univ. Press, 2010.
11. M. Paleari, R. Chellali, and B. Huet, "Bimodal Emotion Recognition," Proc. 2nd Int'l Conf. Social Robotics (ICSR), Springer, 2010, pp. 305–314.
12. G. McKeown et al., "The SEMAINE Corpus of Emotionally Coloured Character Interactions," Proc. IEEE Int'l Conf. Multimedia and Expo (ICME), IEEE CS Press, 2010, pp. 1079–1084.
13. A.J. O'Toole et al., "A Video Database of Moving Faces and People," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 5, 2005, pp. 812–816.
14. M. Grimm, K. Kroschel, and S. Narayanan, "The Vera am Mittag German Audio-Visual Emotional Speech Database," Proc. IEEE Int'l Conf. Multimedia and Expo (ICME), IEEE CS Press, 2008, pp. 865–868.
15. I. Laptev et al., "Learning Realistic Human Actions from Movies," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), IEEE CS Press, 2008, pp. 1–8.
16. P.A. Viola and M.J. Jones, "Rapid Object Detection Using a Boosted Cascade of Simple Features," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), IEEE CS Press, 2001, pp. 511–518.
17. D. Huang et al., "Local Binary Patterns and its Application to Facial Image Analysis: A Survey," IEEE Trans. Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 41, no. 6, 2011, pp. 1 –17.
18. A. Bosch, A. Zisserman, and X. Munoz, "Representing Shape with a Spatial Pyramid Kernel," Proc. 6th ACM Int'l Conf. Image and Video Retrieval (CIVR), ACM Press, 2007, pp. 401–408.
34 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool