Abstract
Definition:The system automatically detects and stores information about the locations of faces in the photos.
Photo album management, an application of content-based image browsing/retrieval, has attracted attention in recent years. Identities of individuals appearing in the photos are the most important aspect for photo browsing. However, face recognition generally does not work effectively in this case due to the large variations in pose, illumination and sometimes poor quality of images. In this paper, we present a system for browsing photo albums. A similarity function based on face arrangement is defined. Photos are then clustered based on the similarity function using a clustering algorithm proposed in this paper. The system also represents photos of an event using a composite image. The composite image is built from representative faces and an image that represents the event. Experiments indicate that the face arrangement features are effective in representing the semantic content of the photos and are appropriate for photo albums.
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References
L. Chen, B. Hu, L. Zhang, M. Li, and H. Zhang, “Face Annotation for Family Photo Album Management,” International Journal of Image and Graphics, Vol. 3, No. 1, pp. 81–94, 2003.
J. Huang, S. R. Kumar, M. Mitra, W. J. Zhu, and R. Zabih, “Image indexing using color correlograms,” Proceedings of IEEE Conference on Computer Vision and Pattern Recognition pp. 762, 1997.
H. Muller, W. Muller, D. Squire, S. Marchand-Maillet, and T. Pun, “Automated Benchmarking in Content-based Image Retrieval,” Proceedings of the IEEE International Conference on Multimedia and Expo (ICME2001), Tokyo, Japan, August 2001.
S. Krishnamachari and M. Abdel-Mottaleb, “Hierarchical Clustering Algorithm for Fast Image Retrieval,” Storage and Retrieval for Image and Video Databases VII, SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, CA, 1999.
R. Xiao, L. Zhu, and H.J. Zhang, “Boosting Chain Learning for Object Detection,” Proceeding of the International Conference on Computer Vision, pp. 709–715, 2003.
L. Zhang, L. Chen, M. Li, and H. Zhang, “Automatic Face Annotation for Family Album,” Proceedings of the Eleventh ACM International Conference on Multimedia, pp. 355–358, Berkeley, CA, 2003.
M. Flickner et al., “Query by Image and Video Content: The QBIC System,” IEEE Computer, Vol. 28, No. 9, pp. 23–32, September 1996.
J. R. Smith and S. F. Chang, “Visualseek: A Fully Automated Content-based Image Query System,” Proceedings of ACM Multimedia, (Boston, MA), pp. 87–98, November 1996.
W. Y. Ma and B. S. Manjunath, “Netra: A toolbox for navigating large image databases,” Proceedings of IEEE International Conference on Image Processing, Vol. 1, Santa Barbara, CA, pp. 568–571, October 1997.
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© 2006 Springer Science+Business Media, Inc.
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Abdel-Mottaleb, M., Chen, L. (2006). Content-Based Photo Album Management Using Faces. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/0-387-30038-4_33
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DOI: https://doi.org/10.1007/0-387-30038-4_33
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-24395-5
Online ISBN: 978-0-387-30038-2
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